chore(docs): decrease logo size, minor enhancements

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

.env

@@ -29,6 +29,9 @@
 ## Enable/Disable single backend (useful if only one GPU is available)
 # LOCALAI_SINGLE_ACTIVE_BACKEND=true
 
+# Forces shutdown of the backends if busy (only if LOCALAI_SINGLE_ACTIVE_BACKEND is set)
+# LOCALAI_FORCE_BACKEND_SHUTDOWN=true
+
 ## Specify a build type. Available: cublas, openblas, clblas.
 ## cuBLAS: This is a GPU-accelerated version of the complete standard BLAS (Basic Linear Algebra Subprograms) library. It's provided by Nvidia and is part of their CUDA toolkit.
 ## OpenBLAS: This is an open-source implementation of the BLAS library that aims to provide highly optimized code for various platforms. It includes support for multi-threading and can be compiled to use hardware-specific features for additional performance. OpenBLAS can run on many kinds of hardware, including CPUs from Intel, AMD, and ARM.

.github/workflows/deploy-explorer.yaml

@@ -33,7 +33,7 @@ jobs:
         run: |
           CGO_ENABLED=0 make build-api
       - name: rm
-        uses: appleboy/ssh-action@v1.2.1
+        uses: appleboy/ssh-action@v1.2.2
         with:
             host: ${{ secrets.EXPLORER_SSH_HOST }}
             username: ${{ secrets.EXPLORER_SSH_USERNAME }}
@@ -53,7 +53,7 @@ jobs:
             rm: true
             target: ./local-ai
       - name: restarting
-        uses: appleboy/ssh-action@v1.2.1
+        uses: appleboy/ssh-action@v1.2.2
         with:
             host: ${{ secrets.EXPLORER_SSH_HOST }}
             username: ${{ secrets.EXPLORER_SSH_USERNAME }}

.github/workflows/generate_intel_image.yaml

@@ -15,7 +15,7 @@ jobs:
     strategy:
       matrix:
         include:
-          - base-image: intel/oneapi-basekit:2025.0.0-0-devel-ubuntu22.04
+          - base-image: intel/oneapi-basekit:2025.1.0-0-devel-ubuntu22.04
             runs-on: 'ubuntu-latest'
             platforms: 'linux/amd64'
     runs-on: ${{matrix.runs-on}}

.github/workflows/secscan.yaml

@@ -18,7 +18,7 @@ jobs:
         if: ${{ github.actor != 'dependabot[bot]' }}
       - name: Run Gosec Security Scanner
         if: ${{ github.actor != 'dependabot[bot]' }}
-        uses: securego/gosec@v2.22.0
+        uses: securego/gosec@v2.22.3
         with:
           # we let the report trigger content trigger a failure using the GitHub Security features.
           args: '-no-fail -fmt sarif -out results.sarif ./...'

Dockerfile

@@ -24,6 +24,7 @@ RUN apt-get update && \
         ca-certificates \
         curl libssl-dev \
         git \
+        git-lfs \
         unzip upx-ucl && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*

Makefile

@@ -6,7 +6,7 @@ BINARY_NAME=local-ai
 DETECT_LIBS?=true
 
 # llama.cpp versions
-CPPLLAMA_VERSION?=1782cdfed60952f9ff333fc2ab5245f2be702453
+CPPLLAMA_VERSION?=d6d2c2ab8c8865784ba9fef37f2b2de3f2134d33
 
 # whisper.cpp version
 WHISPER_REPO?=https://github.com/ggerganov/whisper.cpp
@@ -21,8 +21,8 @@ BARKCPP_REPO?=https://github.com/PABannier/bark.cpp.git
 BARKCPP_VERSION?=v1.0.0
 
 # stablediffusion.cpp (ggml)
-STABLEDIFFUSION_GGML_REPO?=https://github.com/leejet/stable-diffusion.cpp
-STABLEDIFFUSION_GGML_VERSION?=19d876ee300a055629926ff836489901f734f2b7
+STABLEDIFFUSION_GGML_REPO?=https://github.com/richiejp/stable-diffusion.cpp
+STABLEDIFFUSION_GGML_VERSION?=53e3b17eb3d0b5760ced06a1f98320b68b34aaae
 
 ONNX_VERSION?=1.20.0
 ONNX_ARCH?=x64
@@ -260,11 +260,7 @@ backend/go/image/stablediffusion-ggml/libsd.a: sources/stablediffusion-ggml.cpp
 	$(MAKE) -C backend/go/image/stablediffusion-ggml libsd.a
 
 backend-assets/grpc/stablediffusion-ggml: backend/go/image/stablediffusion-ggml/libsd.a backend-assets/grpc
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=$(CURDIR)/backend/go/image/stablediffusion-ggml/ LIBRARY_PATH=$(CURDIR)/backend/go/image/stablediffusion-ggml/ \
-	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o backend-assets/grpc/stablediffusion-ggml ./backend/go/image/stablediffusion-ggml/
-ifneq ($(UPX),)
-	$(UPX) backend-assets/grpc/stablediffusion-ggml
-endif
+	$(MAKE) -C backend/go/image/stablediffusion-ggml CGO_LDFLAGS="$(CGO_LDFLAGS)" stablediffusion-ggml
 
 sources/onnxruntime:
 	mkdir -p sources/onnxruntime
@@ -809,7 +805,8 @@ docker-aio-all:
 
 docker-image-intel:
 	docker build \
-		--build-arg BASE_IMAGE=intel/oneapi-basekit:2025.0.0-0-devel-ubuntu22.04 \
+		--progress plain \
+		--build-arg BASE_IMAGE=intel/oneapi-basekit:2025.1.0-0-devel-ubuntu24.04 \
 		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
 		--build-arg GO_TAGS="none" \
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
@@ -817,7 +814,7 @@ docker-image-intel:
 
 docker-image-intel-xpu:
 	docker build \
-		--build-arg BASE_IMAGE=intel/oneapi-basekit:2025.0.0-0-devel-ubuntu22.04 \
+		--build-arg BASE_IMAGE=intel/oneapi-basekit:2025.1.0-0-devel-ubuntu22.04 \
 		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
 		--build-arg GO_TAGS="none" \
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \

README.md

@@ -1,7 +1,6 @@
 <h1 align="center">
   <br>
-  <img height="300" src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd"> <br>
-    LocalAI
+  <img height="300" src="./core/http/static/logo.png"> <br>
 <br>
 </h1>
 
@@ -48,9 +47,58 @@
 
 [![tests](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)[![Build and Release](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)[![build container images](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)[![Bump dependencies](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)[![Artifact Hub](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/localai)](https://artifacthub.io/packages/search?repo=localai)
 
-**LocalAI** is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI (Elevenlabs, Anthropic... ) API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU. It is created and maintained by [Ettore Di Giacinto](https://github.com/mudler).
+**LocalAI** is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that's compatible with OpenAI (Elevenlabs, Anthropic... ) API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU. It is created and maintained by [Ettore Di Giacinto](https://github.com/mudler).
 
-![screen](https://github.com/mudler/LocalAI/assets/2420543/20b5ccd2-8393-44f0-aaf6-87a23806381e)
+
+## 📚🆕 Local Stack Family
+
+🆕 LocalAI is now part of a comprehensive suite of AI tools designed to work together:
+
+<table>
+  <tr>
+    <td width="50%" valign="top">
+      <a href="https://github.com/mudler/LocalAGI">
+        <img src="https://raw.githubusercontent.com/mudler/LocalAGI/refs/heads/main/webui/react-ui/public/logo_2.png" width="300" alt="LocalAGI Logo">
+      </a>
+    </td>
+    <td width="50%" valign="top">
+      <h3><a href="https://github.com/mudler/LocalAGI">LocalAGI</a></h3>
+      <p>A powerful Local AI agent management platform that serves as a drop-in replacement for OpenAI's Responses API, enhanced with advanced agentic capabilities.</p>
+    </td>
+  </tr>
+  <tr>
+    <td width="50%" valign="top">
+      <a href="https://github.com/mudler/LocalRecall">
+        <img src="https://raw.githubusercontent.com/mudler/LocalRecall/refs/heads/main/static/localrecall_horizontal.png" width="300" alt="LocalRecall Logo">
+      </a>
+    </td>
+    <td width="50%" valign="top">
+      <h3><a href="https://github.com/mudler/LocalRecall">LocalRecall</a></h3>
+      <p>A REST-ful API and knowledge base management system that provides persistent memory and storage capabilities for AI agents.</p>
+    </td>
+  </tr>
+</table>
+
+## Screenshots
+
+
+| Talk Interface | Generate Audio |
+| --- | --- |
+| ![Screenshot 2025-03-31 at 12-01-36 LocalAI - Talk](./docs/assets/images/screenshots/screenshot_tts.png) | ![Screenshot 2025-03-31 at 12-01-29 LocalAI - Generate audio with voice-en-us-ryan-low](./docs/assets/images/screenshots/screenshot_tts.png) |
+
+| Models Overview | Generate Images |
+| --- | --- |
+| ![Screenshot 2025-03-31 at 12-01-20 LocalAI - Models](./docs/assets/images/screenshots/screenshot_gallery.png) | ![Screenshot 2025-03-31 at 12-31-41 LocalAI - Generate images with flux 1-dev](./docs/assets/images/screenshots/screenshot_image.png) |
+
+| Chat Interface | Home |
+| --- | --- |
+| ![Screenshot 2025-03-31 at 11-57-44 LocalAI - Chat with localai-functioncall-qwen2 5-7b-v0 5](./docs/assets/images/screenshots/screenshot_chat.png) | ![Screenshot 2025-03-31 at 11-57-23 LocalAI API - c2a39e3 (c2a39e3639227cfd94ffffe9f5691239acc275a8)](./docs/assets/images/screenshots/screenshot_home.png) |
+
+| Login | Swarm |
+| --- | --- |
+|![Screenshot 2025-03-31 at 12-09-59 ](./docs/assets/images/screenshots/screenshot_login.png) | ![Screenshot 2025-03-31 at 12-10-39 LocalAI - P2P dashboard](./docs/assets/images/screenshots/screenshot_p2p.png) |
+
+## 💻 Quickstart
 
 Run the installer script:
 
@@ -59,17 +107,21 @@ curl https://localai.io/install.sh | sh
 ```
 
 Or run with docker:
+
+### CPU only image:
 ```bash
-# CPU only image:
 docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-cpu
-
-# Nvidia GPU:
+```
+### Nvidia GPU:
+```bash
 docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12
-
-# CPU and GPU image (bigger size):
+```
+### CPU and GPU image (bigger size):
+```bash
 docker run -ti --name local-ai -p 8080:8080 localai/localai:latest
-
-# AIO images (it will pre-download a set of models ready for use, see https://localai.io/basics/container/)
+```
+### AIO images (it will pre-download a set of models ready for use, see https://localai.io/basics/container/)
+```bash
 docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
 ```
 
@@ -88,10 +140,13 @@ local-ai run https://gist.githubusercontent.com/.../phi-2.yaml
 local-ai run oci://localai/phi-2:latest
 ```
 
-[💻 Getting started](https://localai.io/basics/getting_started/index.html)
+For more information, see [💻 Getting started](https://localai.io/basics/getting_started/index.html)
 
 ## 📰 Latest project news
 
+- Apr 2025: [LocalAGI](https://github.com/mudler/LocalAGI) and [LocalRecall](https://github.com/mudler/LocalRecall) join the LocalAI family stack.
+- Apr 2025: WebUI overhaul, AIO images updates
+- Feb 2025: Backend cleanup, Breaking changes, new backends (kokoro, OutelTTS, faster-whisper), Nvidia L4T images
 - Jan 2025: LocalAI model release: https://huggingface.co/mudler/LocalAI-functioncall-phi-4-v0.3, SANA support in diffusers: https://github.com/mudler/LocalAI/pull/4603
 - Dec 2024: stablediffusion.cpp backend (ggml) added ( https://github.com/mudler/LocalAI/pull/4289 )
 - Nov 2024: Bark.cpp backend added ( https://github.com/mudler/LocalAI/pull/4287 )
@@ -105,19 +160,6 @@ local-ai run oci://localai/phi-2:latest
 
 Roadmap items: [List of issues](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
 
-## 🔥🔥 Hot topics (looking for help):
-
-- Multimodal with vLLM and Video understanding: https://github.com/mudler/LocalAI/pull/3729
-- Realtime API https://github.com/mudler/LocalAI/issues/3714
-- WebUI improvements: https://github.com/mudler/LocalAI/issues/2156
-- Backends v2: https://github.com/mudler/LocalAI/issues/1126
-- Improving UX v2: https://github.com/mudler/LocalAI/issues/1373
-- Assistant API: https://github.com/mudler/LocalAI/issues/1273
-- Vulkan: https://github.com/mudler/LocalAI/issues/1647
-- Anthropic API: https://github.com/mudler/LocalAI/issues/1808
-
-If you want to help and contribute, issues up for grabs: https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3A%22up+for+grabs%22
-
 ## 🚀 [Features](https://localai.io/features/)
 
 - 📖 [Text generation with GPTs](https://localai.io/features/text-generation/) (`llama.cpp`, `transformers`, `vllm` ... [:book: and more](https://localai.io/model-compatibility/index.html#model-compatibility-table))
@@ -131,12 +173,10 @@ If you want to help and contribute, issues up for grabs: https://github.com/mudl
 - 🥽 [Vision API](https://localai.io/features/gpt-vision/)
 - 📈 [Reranker API](https://localai.io/features/reranker/)
 - 🆕🖧 [P2P Inferencing](https://localai.io/features/distribute/)
+- [Agentic capabilities](https://github.com/mudler/LocalAGI)
 - 🔊 Voice activity detection (Silero-VAD support)
 - 🌍 Integrated WebUI!
 
-## 💻 Usage
-
-Check out the [Getting started](https://localai.io/basics/getting_started/index.html) section in our documentation.
 
 ### 🔗 Community and integrations
 

aio/cpu/embeddings.yaml

@@ -1,7 +1,7 @@
-name: text-embedding-ada-002
 embeddings: true
+name: text-embedding-ada-002
 parameters:
-  model: huggingface://hugging-quants/Llama-3.2-1B-Instruct-Q4_K_M-GGUF/llama-3.2-1b-instruct-q4_k_m.gguf
+  model: huggingface://bartowski/granite-embedding-107m-multilingual-GGUF/granite-embedding-107m-multilingual-f16.gguf
 
 usage: |
     You can test this model with curl like this:

aio/cpu/text-to-text.yaml

@@ -1,101 +1,57 @@
-name: gpt-4
-mmap: true
-parameters:
-  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf
 context_size: 8192
-
-stopwords:
-- "<|im_end|>"
-- "<dummy32000>"
-- "</tool_call>"
-- "<|eot_id|>"
-- "<|end_of_text|>"
-
+f16: true
 function:
-  # disable injecting the "answer" tool
-  disable_no_action: true
-
   grammar:
-    # This allows the grammar to also return messages
-    mixed_mode: true
-    # Suffix to add to the grammar
-    #prefix: '<tool_call>\n'
-    # Force parallel calls in the grammar
-    # parallel_calls: true
-
-  return_name_in_function_response: true
-  # Without grammar uncomment the lines below
-  # Warning: this is relying only on the capability of the
-  # LLM model to generate the correct function call.
-  json_regex_match: 
-   - "(?s)<tool_call>(.*?)</tool_call>"
-   - "(?s)<tool_call>(.*?)"
-  replace_llm_results:
-  # Drop the scratchpad content from responses
-  - key: "(?s)<scratchpad>.*</scratchpad>"
-    value: ""
-  replace_function_results: 
-  # Replace everything that is not JSON array or object
-  # 
-  - key: '(?s)^[^{\[]*'
-    value: ""
-  - key: '(?s)[^}\]]*$'
-    value: ""
-  - key: "'([^']*?)'"
-    value: "_DQUOTE_${1}_DQUOTE_"
-  - key: '\\"'
-    value: "__TEMP_QUOTE__"
-  - key: "\'"
-    value: "'"
-  - key: "_DQUOTE_"
-    value: '"'
-  - key: "__TEMP_QUOTE__"
-    value: '"'
-  # Drop the scratchpad content from responses
-  - key: "(?s)<scratchpad>.*</scratchpad>"
-    value: ""
-
+    no_mixed_free_string: true
+    schema_type: llama3.1 # or JSON is supported too (json)
+  response_regex:
+  - <function=(?P<name>\w+)>(?P<arguments>.*)</function>
+mmap: true
+name: gpt-4
+parameters:
+  model: Hermes-3-Llama-3.2-3B-Q4_K_M.gguf
+stopwords:
+- <|im_end|>
+- <dummy32000>
+- <|eot_id|>
+- <|end_of_text|>
 template:
   chat: |
-    {{.Input -}}
-    <|im_start|>assistant
+    <|begin_of_text|><|start_header_id|>system<|end_header_id|>
+    You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
+    {{.Input }}
+    <|start_header_id|>assistant<|end_header_id|>
   chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
-    {{- if .FunctionCall }}
-    <tool_call>
-    {{- else if eq .RoleName "tool" }}
-    <tool_response>
-    {{- end }}
-    {{- if .Content}}
-    {{.Content }}
-    {{- end }}
-    {{- if .FunctionCall}}
-    {{toJson .FunctionCall}}
-    {{- end }}
-    {{- if .FunctionCall }}
-    </tool_call>
-    {{- else if eq .RoleName "tool" }}
-    </tool_response>
-    {{- end }}<|im_end|>
+    <|start_header_id|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}<|end_header_id|>
+    {{ if .FunctionCall -}}
+    {{ else if eq .RoleName "tool" -}}
+    The Function was executed and the response was:
+    {{ end -}}
+    {{ if .Content -}}
+    {{.Content -}}
+    {{ else if .FunctionCall -}}
+    {{ range .FunctionCall }}
+    [{{.FunctionCall.Name}}({{.FunctionCall.Arguments}})]
+    {{ end }}
+    {{ end -}}
+    <|eot_id|>
   completion: |
     {{.Input}}
-  function: |-
-    <|im_start|>system
-    You are a function calling AI model.
-    Here are the available tools:
-    <tools>
-    {{range .Functions}}
-    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
-    {{end}}
-    </tools>
-    You should call the tools provided to you sequentially
-    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
-    <scratchpad>
-    {step-by-step reasoning and plan in bullet points}
-    </scratchpad>
-    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
-    <tool_call>
-    {"arguments": <args-dict>, "name": <function-name>}
-    </tool_call><|im_end|>
-    {{.Input -}}
-    <|im_start|>assistant
+  function: |
+    <|start_header_id|>system<|end_header_id|>
+    You are an expert in composing functions. You are given a question and a set of possible functions.
+    Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
+    If none of the functions can be used, point it out. If the given question lacks the parameters required by the function, also point it out. You should only return the function call in tools call sections.
+    If you decide to invoke any of the function(s), you MUST put it in the format as follows:
+    [func_name1(params_name1=params_value1,params_name2=params_value2,...),func_name2(params_name1=params_value1,params_name2=params_value2,...)]
+    You SHOULD NOT include any other text in the response.
+    Here is a list of functions in JSON format that you can invoke.
+    {{toJson .Functions}}
+    <|eot_id|><|start_header_id|>user<|end_header_id|>
+    {{.Input}}
+    <|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+download_files:
+- filename: Hermes-3-Llama-3.2-3B-Q4_K_M.gguf
+  sha256: 2e220a14ba4328fee38cf36c2c068261560f999fadb5725ce5c6d977cb5126b5
+  uri: huggingface://bartowski/Hermes-3-Llama-3.2-3B-GGUF/Hermes-3-Llama-3.2-3B-Q4_K_M.gguf

aio/cpu/vision.yaml

@@ -1,31 +1,49 @@
-backend: llama-cpp
 context_size: 4096
 f16: true
 mmap: true
+mmproj: minicpm-v-2_6-mmproj-f16.gguf
 name: gpt-4o
-
-roles:
-  user: "USER:"
-  assistant: "ASSISTANT:"
-  system: "SYSTEM:"
-
-mmproj: bakllava-mmproj.gguf
 parameters:
-  model: bakllava.gguf
-
+  model: minicpm-v-2_6-Q4_K_M.gguf
+stopwords:
+- <|im_end|>
+- <dummy32000>
+- </s>
+- <|endoftext|>
 template:
   chat: |
-    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
+    {{.Input -}}
+    <|im_start|>assistant
+  chat_message: |
+    <|im_start|>{{ .RoleName }}
+    {{ if .FunctionCall -}}
+    Function call:
+    {{ else if eq .RoleName "tool" -}}
+    Function response:
+    {{ end -}}
+    {{ if .Content -}}
+    {{.Content }}
+    {{ end -}}
+    {{ if .FunctionCall -}}
+    {{toJson .FunctionCall}}
+    {{ end -}}<|im_end|>
+  completion: |
     {{.Input}}
-    ASSISTANT:
+  function: |
+    <|im_start|>system
+    You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
+    {{range .Functions}}
+    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
+    {{end}}
+    For each function call return a json object with function name and arguments
+    <|im_end|>
+    {{.Input -}}
+    <|im_start|>assistant
 
 download_files:
-- filename: bakllava.gguf
-  uri: huggingface://mys/ggml_bakllava-1/ggml-model-q4_k.gguf
-- filename: bakllava-mmproj.gguf
-  uri: huggingface://mys/ggml_bakllava-1/mmproj-model-f16.gguf
-
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "gpt-4-vision-preview",
-        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'
+- filename: minicpm-v-2_6-Q4_K_M.gguf
+  sha256: 3a4078d53b46f22989adbf998ce5a3fd090b6541f112d7e936eb4204a04100b1
+  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/ggml-model-Q4_K_M.gguf
+- filename: minicpm-v-2_6-mmproj-f16.gguf
+  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/mmproj-model-f16.gguf
+  sha256: 4485f68a0f1aa404c391e788ea88ea653c100d8e98fe572698f701e5809711fd

aio/gpu-8g/embeddings.yaml

@@ -1,7 +1,7 @@
+embeddings: true
 name: text-embedding-ada-002
-backend: sentencetransformers
 parameters:
-  model: all-MiniLM-L6-v2
+  model: huggingface://bartowski/granite-embedding-107m-multilingual-GGUF/granite-embedding-107m-multilingual-f16.gguf
 
 usage: |
     You can test this model with curl like this:

aio/gpu-8g/text-to-text.yaml

@@ -1,101 +1,53 @@
-name: gpt-4
-mmap: true
-parameters:
-  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf
-context_size: 8192
-
-stopwords:
-- "<|im_end|>"
-- "<dummy32000>"
-- "</tool_call>"
-- "<|eot_id|>"
-- "<|end_of_text|>"
-
+context_size: 4096
+f16: true
 function:
-  # disable injecting the "answer" tool
-  disable_no_action: true
-
+  capture_llm_results:
+  - (?s)<Thought>(.*?)</Thought>
   grammar:
-    # This allows the grammar to also return messages
-    mixed_mode: true
-    # Suffix to add to the grammar
-    #prefix: '<tool_call>\n'
-    # Force parallel calls in the grammar
-    # parallel_calls: true
-
-  return_name_in_function_response: true
-  # Without grammar uncomment the lines below
-  # Warning: this is relying only on the capability of the
-  # LLM model to generate the correct function call.
-  json_regex_match: 
-   - "(?s)<tool_call>(.*?)</tool_call>"
-   - "(?s)<tool_call>(.*?)"
+    properties_order: name,arguments
+  json_regex_match:
+  - (?s)<Output>(.*?)</Output>
   replace_llm_results:
-  # Drop the scratchpad content from responses
-  - key: "(?s)<scratchpad>.*</scratchpad>"
+  - key: (?s)<Thought>(.*?)</Thought>
     value: ""
-  replace_function_results: 
-  # Replace everything that is not JSON array or object
-  # 
-  - key: '(?s)^[^{\[]*'
-    value: ""
-  - key: '(?s)[^}\]]*$'
-    value: ""
-  - key: "'([^']*?)'"
-    value: "_DQUOTE_${1}_DQUOTE_"
-  - key: '\\"'
-    value: "__TEMP_QUOTE__"
-  - key: "\'"
-    value: "'"
-  - key: "_DQUOTE_"
-    value: '"'
-  - key: "__TEMP_QUOTE__"
-    value: '"'
-  # Drop the scratchpad content from responses
-  - key: "(?s)<scratchpad>.*</scratchpad>"
-    value: ""
-
+mmap: true
+name: gpt-4
+parameters:
+  model: localai-functioncall-qwen2.5-7b-v0.5-q4_k_m.gguf
+stopwords:
+- <|im_end|>
+- <dummy32000>
+- </s>
 template:
   chat: |
     {{.Input -}}
     <|im_start|>assistant
   chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
-    {{- if .FunctionCall }}
-    <tool_call>
-    {{- else if eq .RoleName "tool" }}
-    <tool_response>
-    {{- end }}
-    {{- if .Content}}
+    <|im_start|>{{ .RoleName }}
+    {{ if .FunctionCall -}}
+    Function call:
+    {{ else if eq .RoleName "tool" -}}
+    Function response:
+    {{ end -}}
+    {{ if .Content -}}
     {{.Content }}
-    {{- end }}
-    {{- if .FunctionCall}}
+    {{ end -}}
+    {{ if .FunctionCall -}}
     {{toJson .FunctionCall}}
-    {{- end }}
-    {{- if .FunctionCall }}
-    </tool_call>
-    {{- else if eq .RoleName "tool" }}
-    </tool_response>
-    {{- end }}<|im_end|>
+    {{ end -}}<|im_end|>
   completion: |
     {{.Input}}
-  function: |-
+  function: |
     <|im_start|>system
-    You are a function calling AI model.
-    Here are the available tools:
-    <tools>
+    You are an AI assistant that executes function calls, and these are the tools at your disposal:
     {{range .Functions}}
     {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
     {{end}}
-    </tools>
-    You should call the tools provided to you sequentially
-    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
-    <scratchpad>
-    {step-by-step reasoning and plan in bullet points}
-    </scratchpad>
-    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
-    <tool_call>
-    {"arguments": <args-dict>, "name": <function-name>}
-    </tool_call><|im_end|>
+    <|im_end|>
     {{.Input -}}
-    <|im_start|>assistant
+    <|im_start|>assistant
+
+download_files:
+- filename: localai-functioncall-phi-4-v0.3-q4_k_m.gguf
+  sha256: 23fee048ded2a6e2e1a7b6bbefa6cbf83068f194caa9552aecbaa00fec8a16d5
+  uri: huggingface://mudler/LocalAI-functioncall-phi-4-v0.3-Q4_K_M-GGUF/localai-functioncall-phi-4-v0.3-q4_k_m.gguf

aio/gpu-8g/vision.yaml

@@ -1,35 +1,49 @@
-backend: llama-cpp
 context_size: 4096
 f16: true
 mmap: true
+mmproj: minicpm-v-2_6-mmproj-f16.gguf
 name: gpt-4o
-
-roles:
-  user: "USER:"
-  assistant: "ASSISTANT:"
-  system: "SYSTEM:"
-
-mmproj: llava-v1.6-7b-mmproj-f16.gguf
 parameters:
-  model: llava-v1.6-mistral-7b.Q5_K_M.gguf
-  temperature: 0.2
-  top_k: 40
-  top_p: 0.95
-  seed: -1
-
+  model: minicpm-v-2_6-Q4_K_M.gguf
+stopwords:
+- <|im_end|>
+- <dummy32000>
+- </s>
+- <|endoftext|>
 template:
   chat: |
-    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
+    {{.Input -}}
+    <|im_start|>assistant
+  chat_message: |
+    <|im_start|>{{ .RoleName }}
+    {{ if .FunctionCall -}}
+    Function call:
+    {{ else if eq .RoleName "tool" -}}
+    Function response:
+    {{ end -}}
+    {{ if .Content -}}
+    {{.Content }}
+    {{ end -}}
+    {{ if .FunctionCall -}}
+    {{toJson .FunctionCall}}
+    {{ end -}}<|im_end|>
+  completion: |
     {{.Input}}
-    ASSISTANT:
+  function: |
+    <|im_start|>system
+    You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
+    {{range .Functions}}
+    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
+    {{end}}
+    For each function call return a json object with function name and arguments
+    <|im_end|>
+    {{.Input -}}
+    <|im_start|>assistant
 
 download_files:
-- filename: llava-v1.6-mistral-7b.Q5_K_M.gguf
-  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/llava-v1.6-mistral-7b.Q5_K_M.gguf
-- filename: llava-v1.6-7b-mmproj-f16.gguf
-  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/mmproj-model-f16.gguf
-
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "gpt-4-vision-preview",
-        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'
+- filename: minicpm-v-2_6-Q4_K_M.gguf
+  sha256: 3a4078d53b46f22989adbf998ce5a3fd090b6541f112d7e936eb4204a04100b1
+  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/ggml-model-Q4_K_M.gguf
+- filename: minicpm-v-2_6-mmproj-f16.gguf
+  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/mmproj-model-f16.gguf
+  sha256: 4485f68a0f1aa404c391e788ea88ea653c100d8e98fe572698f701e5809711fd

aio/intel/embeddings.yaml

@@ -1,7 +1,7 @@
+embeddings: true
 name: text-embedding-ada-002
-backend: sentencetransformers
 parameters:
-  model: all-MiniLM-L6-v2
+  model: huggingface://bartowski/granite-embedding-107m-multilingual-GGUF/granite-embedding-107m-multilingual-f16.gguf
 
 usage: |
     You can test this model with curl like this:

aio/intel/text-to-text.yaml

@@ -1,103 +1,53 @@
-name: gpt-4
-mmap: false
-context_size: 8192
-
-f16: false
-parameters:
-  model: huggingface://NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf
-
-stopwords:
-- "<|im_end|>"
-- "<dummy32000>"
-- "</tool_call>"
-- "<|eot_id|>"
-- "<|end_of_text|>"
-
+context_size: 4096
+f16: true
 function:
-  # disable injecting the "answer" tool
-  disable_no_action: true
-
+  capture_llm_results:
+  - (?s)<Thought>(.*?)</Thought>
   grammar:
-    # This allows the grammar to also return messages
-    mixed_mode: true
-    # Suffix to add to the grammar
-    #prefix: '<tool_call>\n'
-    # Force parallel calls in the grammar
-    # parallel_calls: true
-
-  return_name_in_function_response: true
-  # Without grammar uncomment the lines below
-  # Warning: this is relying only on the capability of the
-  # LLM model to generate the correct function call.
-  json_regex_match: 
-   - "(?s)<tool_call>(.*?)</tool_call>"
-   - "(?s)<tool_call>(.*?)"
+    properties_order: name,arguments
+  json_regex_match:
+  - (?s)<Output>(.*?)</Output>
   replace_llm_results:
-  # Drop the scratchpad content from responses
-  - key: "(?s)<scratchpad>.*</scratchpad>"
+  - key: (?s)<Thought>(.*?)</Thought>
     value: ""
-  replace_function_results: 
-  # Replace everything that is not JSON array or object
-  # 
-  - key: '(?s)^[^{\[]*'
-    value: ""
-  - key: '(?s)[^}\]]*$'
-    value: ""
-  - key: "'([^']*?)'"
-    value: "_DQUOTE_${1}_DQUOTE_"
-  - key: '\\"'
-    value: "__TEMP_QUOTE__"
-  - key: "\'"
-    value: "'"
-  - key: "_DQUOTE_"
-    value: '"'
-  - key: "__TEMP_QUOTE__"
-    value: '"'
-  # Drop the scratchpad content from responses
-  - key: "(?s)<scratchpad>.*</scratchpad>"
-    value: ""
-
+mmap: true
+name: gpt-4
+parameters:
+  model: localai-functioncall-qwen2.5-7b-v0.5-q4_k_m.gguf
+stopwords:
+- <|im_end|>
+- <dummy32000>
+- </s>
 template:
   chat: |
     {{.Input -}}
     <|im_start|>assistant
   chat_message: |
-    <|im_start|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}
-    {{- if .FunctionCall }}
-    <tool_call>
-    {{- else if eq .RoleName "tool" }}
-    <tool_response>
-    {{- end }}
-    {{- if .Content}}
+    <|im_start|>{{ .RoleName }}
+    {{ if .FunctionCall -}}
+    Function call:
+    {{ else if eq .RoleName "tool" -}}
+    Function response:
+    {{ end -}}
+    {{ if .Content -}}
     {{.Content }}
-    {{- end }}
-    {{- if .FunctionCall}}
+    {{ end -}}
+    {{ if .FunctionCall -}}
     {{toJson .FunctionCall}}
-    {{- end }}
-    {{- if .FunctionCall }}
-    </tool_call>
-    {{- else if eq .RoleName "tool" }}
-    </tool_response>
-    {{- end }}<|im_end|>
+    {{ end -}}<|im_end|>
   completion: |
     {{.Input}}
-  function: |-
+  function: |
     <|im_start|>system
-    You are a function calling AI model.
-    Here are the available tools:
-    <tools>
+    You are an AI assistant that executes function calls, and these are the tools at your disposal:
     {{range .Functions}}
     {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
     {{end}}
-    </tools>
-    You should call the tools provided to you sequentially
-    Please use <scratchpad> XML tags to record your reasoning and planning before you call the functions as follows:
-    <scratchpad>
-    {step-by-step reasoning and plan in bullet points}
-    </scratchpad>
-    For each function call return a json object with function name and arguments within <tool_call> XML tags as follows:
-    <tool_call>
-    {"arguments": <args-dict>, "name": <function-name>}
-    </tool_call><|im_end|>
+    <|im_end|>
     {{.Input -}}
     <|im_start|>assistant
+
+download_files:
+- filename: localai-functioncall-phi-4-v0.3-q4_k_m.gguf
+  sha256: 23fee048ded2a6e2e1a7b6bbefa6cbf83068f194caa9552aecbaa00fec8a16d5
+  uri: huggingface://mudler/LocalAI-functioncall-phi-4-v0.3-Q4_K_M-GGUF/localai-functioncall-phi-4-v0.3-q4_k_m.gguf

aio/intel/vision.yaml

@@ -1,35 +1,50 @@
-backend: llama-cpp
 context_size: 4096
-mmap: false
-f16: false
+f16: true
+mmap: true
+mmproj: minicpm-v-2_6-mmproj-f16.gguf
 name: gpt-4o
-
-roles:
-  user: "USER:"
-  assistant: "ASSISTANT:"
-  system: "SYSTEM:"
-
-mmproj: llava-v1.6-7b-mmproj-f16.gguf
 parameters:
-  model: llava-v1.6-mistral-7b.Q5_K_M.gguf
-  temperature: 0.2
-  top_k: 40
-  top_p: 0.95
-  seed: -1
-
+  model: minicpm-v-2_6-Q4_K_M.gguf
+stopwords:
+- <|im_end|>
+- <dummy32000>
+- </s>
+- <|endoftext|>
 template:
   chat: |
-    A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.
+    {{.Input -}}
+    <|im_start|>assistant
+  chat_message: |
+    <|im_start|>{{ .RoleName }}
+    {{ if .FunctionCall -}}
+    Function call:
+    {{ else if eq .RoleName "tool" -}}
+    Function response:
+    {{ end -}}
+    {{ if .Content -}}
+    {{.Content }}
+    {{ end -}}
+    {{ if .FunctionCall -}}
+    {{toJson .FunctionCall}}
+    {{ end -}}<|im_end|>
+  completion: |
     {{.Input}}
-    ASSISTANT:
+  function: |
+    <|im_start|>system
+    You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
+    {{range .Functions}}
+    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
+    {{end}}
+    For each function call return a json object with function name and arguments
+    <|im_end|>
+    {{.Input -}}
+    <|im_start|>assistant
+
 
 download_files:
-- filename: llava-v1.6-mistral-7b.Q5_K_M.gguf
-  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/llava-v1.6-mistral-7b.Q5_K_M.gguf
-- filename: llava-v1.6-7b-mmproj-f16.gguf
-  uri: huggingface://cjpais/llava-1.6-mistral-7b-gguf/mmproj-model-f16.gguf
-
-usage: |
-    curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-        "model": "gpt-4-vision-preview",
-        "messages": [{"role": "user", "content": [{"type":"text", "text": "What is in the image?"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" }}], "temperature": 0.9}]}'
+- filename: minicpm-v-2_6-Q4_K_M.gguf
+  sha256: 3a4078d53b46f22989adbf998ce5a3fd090b6541f112d7e936eb4204a04100b1
+  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/ggml-model-Q4_K_M.gguf
+- filename: minicpm-v-2_6-mmproj-f16.gguf
+  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/mmproj-model-f16.gguf
+  sha256: 4485f68a0f1aa404c391e788ea88ea653c100d8e98fe572698f701e5809711fd

backend/backend.proto

@@ -165,7 +165,6 @@ message Reply {
 
 message GrammarTrigger {
   string word = 1;
-  bool at_start = 2;
 }
 
 message ModelOptions {

backend/cpp/llama/CMakeLists.txt

@@ -2,7 +2,7 @@
 ## XXX: In some versions of CMake clip wasn't being built before llama.
 ## This is an hack for now, but it should be fixed in the future.
 set(TARGET myclip)
-add_library(${TARGET} clip.cpp clip.h llava.cpp llava.h)
+add_library(${TARGET} clip.cpp clip.h clip-impl.h llava.cpp llava.h)
 install(TARGETS ${TARGET} LIBRARY)
 target_include_directories(myclip PUBLIC .)
 target_include_directories(myclip PUBLIC ../..)

backend/cpp/llama/Makefile

@@ -8,7 +8,7 @@ ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
 TARGET?=--target grpc-server
 
 # Disable Shared libs as we are linking on static gRPC and we can't mix shared and static
-CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
+CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF -DLLAMA_CURL=OFF
 
 # If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
 ifeq ($(BUILD_TYPE),cublas)
@@ -36,11 +36,18 @@ else ifeq ($(OS),Darwin)
 endif
 
 ifeq ($(BUILD_TYPE),sycl_f16)
-	CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DCMAKE_CXX_FLAGS="-fsycl" \
+		-DGGML_SYCL_F16=ON
 endif
 
 ifeq ($(BUILD_TYPE),sycl_f32)
-	CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DCMAKE_CXX_FLAGS="-fsycl"
 endif
 
 llama.cpp:
@@ -77,4 +84,4 @@ ifneq (,$(findstring sycl,$(BUILD_TYPE)))
 else
 	+cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release $(TARGET)
 endif
-	cp llama.cpp/build/bin/grpc-server .
+	cp llama.cpp/build/bin/grpc-server .

backend/cpp/llama/grpc-server.cpp

@@ -467,9 +467,10 @@ struct llama_server_context
     bool all_slots_are_idle = false;
     bool add_bos_token      = true;
     bool has_eos_token      = true;
+    bool has_gpu = false;
 
     bool grammar_lazy = false;
-    std::vector<common_grammar_trigger> grammar_trigger_words;
+    std::vector<common_grammar_trigger> grammar_triggers;
 
     int32_t n_ctx;  // total context for all clients / slots
 
@@ -508,12 +509,15 @@ struct llama_server_context
     bool load_model(const common_params &params_)
     {
         params = params_;
-        if (!params.mmproj.empty()) {
+        if (!params.mmproj.path.empty()) {
             multimodal = true;
             LOG_INFO("Multi Modal Mode Enabled", {});
-            clp_ctx = clip_model_load(params.mmproj.c_str(), /*verbosity=*/ 1);
+            clp_ctx = clip_init(params.mmproj.path.c_str(), clip_context_params {
+                /* use_gpu */ has_gpu,
+                /*verbosity=*/ GGML_LOG_LEVEL_INFO,
+            });
             if(clp_ctx == nullptr) {
-                LOG_ERR("unable to load clip model: %s", params.mmproj.c_str());
+                LOG_ERR("unable to load clip model: %s", params.mmproj.path.c_str());
                 return false;
             }
 
@@ -527,7 +531,7 @@ struct llama_server_context
         ctx = common_init.context.release();
         if (model == nullptr)
         {
-            LOG_ERR("unable to load model: %s", params.model.c_str());
+            LOG_ERR("unable to load model: %s", params.model.path.c_str());
             return false;
         }
 
@@ -709,7 +713,7 @@ struct llama_server_context
         slot->sparams.grammar           = json_value(data, "grammar",           default_sparams.grammar);
         slot->sparams.n_probs           = json_value(data, "n_probs",           default_sparams.n_probs);
         slot->sparams.min_keep          = json_value(data, "min_keep",          default_sparams.min_keep);
-        slot->sparams.grammar_trigger_words = grammar_trigger_words;
+        slot->sparams.grammar_triggers = grammar_triggers;
         slot->sparams.grammar_lazy = grammar_lazy;
 
         if (slot->n_predict > 0 && slot->params.n_predict > slot->n_predict) {
@@ -1350,7 +1354,7 @@ struct llama_server_context
         queue_results.send(res);
     }
 
-    void send_embedding(llama_client_slot &slot)
+    void send_embedding(llama_client_slot &slot, const llama_batch & batch)
     {
         task_result res;
         res.id = slot.task_id;
@@ -1372,10 +1376,38 @@ struct llama_server_context
         else
         {
             const float *data = llama_get_embeddings(ctx);
-            std::vector<float> embedding(data, data + n_embd);
+            std::vector<float> embd_res(n_embd, 0.0f);
+            std::vector<std::vector<float>> embedding;
+            for (int i = 0; i < batch.n_tokens; ++i) {
+                if (!batch.logits[i] || batch.seq_id[i][0] != slot.id) {
+                    continue;
+                }
+
+                const float * embd = llama_get_embeddings_seq(ctx, batch.seq_id[i][0]);
+                if (embd == NULL) {
+                    embd = llama_get_embeddings_ith(ctx, i);
+                }
+
+                if (embd == NULL) {
+                    LOG("failed to get embeddings");
+
+                    continue;
+                }
+
+                // normalize only when there is pooling
+                // TODO: configurable
+                if (llama_pooling_type(ctx) != LLAMA_POOLING_TYPE_NONE) {
+                    common_embd_normalize(embd, embd_res.data(), n_embd, 2);
+                    embedding.push_back(embd_res);
+                } else {
+                    embedding.push_back({ embd, embd + n_embd });
+                }
+            }
+
+            // OAI compat
             res.result_json = json
             {
-                {"embedding", embedding },
+                {"embedding", embedding[0] },
             };
         }
         queue_results.send(res);
@@ -1996,7 +2028,7 @@ struct llama_server_context
                 // prompt evaluated for embedding
                 if (slot.embedding)
                 {
-                    send_embedding(slot);
+                    send_embedding(slot, batch_view);
                     slot.release();
                     slot.i_batch = -1;
                     continue;
@@ -2090,7 +2122,11 @@ static void append_to_generated_text_from_generated_token_probs(llama_server_con
 }
 
 std::function<void(int)> shutdown_handler;
-inline void signal_handler(int signal) { shutdown_handler(signal); }
+
+inline void signal_handler(int signal) {
+    exit(1);
+}
+
 
 /////////////////////////////////
 ////////////////////////////////
@@ -2286,15 +2322,15 @@ static std::string get_all_kv_cache_types() {
 }
 
 static void params_parse(const backend::ModelOptions* request,
-                                common_params & params) {
+                                common_params & params, llama_server_context &llama) {
    
     // this is comparable to: https://github.com/ggerganov/llama.cpp/blob/d9b33fe95bd257b36c84ee5769cc048230067d6f/examples/server/server.cpp#L1809
 
-    params.model = request->modelfile();
+    params.model.path = request->modelfile();
     if (!request->mmproj().empty()) {
     // get the directory of modelfile
-      std::string model_dir = params.model.substr(0, params.model.find_last_of("/\\"));
-      params.mmproj = model_dir + "/"+ request->mmproj();
+      std::string model_dir = params.model.path.substr(0, params.model.path.find_last_of("/\\"));
+      params.mmproj.path = model_dir + "/"+ request->mmproj();
     }
     //  params.model_alias ??
     params.model_alias =  request->modelfile();
@@ -2324,6 +2360,20 @@ static void params_parse(const backend::ModelOptions* request,
         add_rpc_devices(std::string(llama_grpc_servers));
     }
     
+     // decode options. Options are in form optname:optvale, or if booleans only optname.
+    for (int i = 0; i < request->options_size(); i++) {
+        std::string opt = request->options(i);
+        char *optname = strtok(&opt[0], ":");
+        char *optval = strtok(NULL, ":");
+        if (optval == NULL) {
+            optval = "true";
+        }
+
+        if (!strcmp(optname, "gpu")) {
+            llama.has_gpu = true;
+        }
+    }
+
     // TODO: Add yarn
 
     if (!request->tensorsplit().empty()) {
@@ -2355,7 +2405,7 @@ static void params_parse(const backend::ModelOptions* request,
         scale_factor = request->lorascale();
      }
      // get the directory of modelfile
-     std::string model_dir = params.model.substr(0, params.model.find_last_of("/\\"));
+     std::string model_dir = params.model.path.substr(0, params.model.path.find_last_of("/\\"));
      params.lora_adapters.push_back({ model_dir + "/"+request->loraadapter(), scale_factor });
     }
     params.use_mlock = request->mlock();
@@ -2393,12 +2443,12 @@ static void params_parse(const backend::ModelOptions* request,
         llama.grammar_lazy = true;
         for (int i = 0; i < request->grammartriggers_size(); i++) {
             common_grammar_trigger trigger;
-            trigger.word = request->grammartriggers(i).word();
-            trigger.at_start = request->grammartriggers(i).at_start();
-            llama.grammar_trigger_words.push_back(trigger);
+	    trigger.type = COMMON_GRAMMAR_TRIGGER_TYPE_WORD;
+            trigger.value = request->grammartriggers(i).word();
+	    // trigger.at_start = request->grammartriggers(i).at_start();
+            llama.grammar_triggers.push_back(trigger);
             LOG_INFO("grammar trigger", {
-                { "word", trigger.word },
-                { "at_start", trigger.at_start }
+                { "word", trigger.value },
             });
         }
     }
@@ -2417,7 +2467,7 @@ public:
   grpc::Status LoadModel(ServerContext* context, const backend::ModelOptions* request, backend::Result* result) {
     // Implement LoadModel RPC
     common_params params;
-    params_parse(request, params);
+    params_parse(request, params, llama);
 
     llama_backend_init();
     llama_numa_init(params.numa);
@@ -2603,6 +2653,20 @@ void RunServer(const std::string& server_address) {
 int main(int argc, char** argv) {
   std::string server_address("localhost:50051");
 
+#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
+    struct sigaction sigint_action;
+    sigint_action.sa_handler = signal_handler;
+    sigemptyset (&sigint_action.sa_mask);
+    sigint_action.sa_flags = 0;
+    sigaction(SIGINT, &sigint_action, NULL);
+    sigaction(SIGTERM, &sigint_action, NULL);
+#elif defined (_WIN32)
+    auto console_ctrl_handler = +[](DWORD ctrl_type) -> BOOL {
+        return (ctrl_type == CTRL_C_EVENT) ? (signal_handler(SIGINT), true) : false;
+    };
+    SetConsoleCtrlHandler(reinterpret_cast<PHANDLER_ROUTINE>(console_ctrl_handler), true);
+#endif
+
   // Define long and short options
   struct option long_options[] = {
       {"addr", required_argument, nullptr, 'a'},

backend/cpp/llama/prepare.sh

@@ -21,6 +21,7 @@ fi
 ## XXX: In some versions of CMake clip wasn't being built before llama.
 ## This is an hack for now, but it should be fixed in the future.
 cp -rfv llama.cpp/examples/llava/clip.h llama.cpp/examples/grpc-server/clip.h
+cp -rfv llama.cpp/examples/llava/clip-impl.h llama.cpp/examples/grpc-server/clip-impl.h
 cp -rfv llama.cpp/examples/llava/llava.cpp llama.cpp/examples/grpc-server/llava.cpp
 echo '#include "llama.h"' > llama.cpp/examples/grpc-server/llava.h
 cat llama.cpp/examples/llava/llava.h >> llama.cpp/examples/grpc-server/llava.h

backend/go/image/stablediffusion-ggml/Makefile

@@ -8,6 +8,13 @@ ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
 # keep standard at C11 and C++11
 CXXFLAGS = -I. -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp/thirdparty -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp/ggml/include -I$(INCLUDE_PATH)/../../../../sources/stablediffusion-ggml.cpp -O3 -DNDEBUG -std=c++17 -fPIC
 
+GOCMD?=go
+CGO_LDFLAGS?=
+# Avoid parent make file overwriting CGO_LDFLAGS which is needed for hipblas
+CGO_LDFLAGS_SYCL=
+GO_TAGS?=
+LD_FLAGS?=
+
 # Disable Shared libs as we are linking on static gRPC and we can't mix shared and static
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
 
@@ -21,7 +28,7 @@ else ifeq ($(BUILD_TYPE),openblas)
 # If build type is clblas (openCL) we set -DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
 else ifeq ($(BUILD_TYPE),clblas)
 	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
-# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++ 
+# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++
 else ifeq ($(BUILD_TYPE),hipblas)
 	CMAKE_ARGS+=-DGGML_HIP=ON
 # If it's OSX, DO NOT embed the metal library - -DGGML_METAL_EMBED_LIBRARY=ON requires further investigation
@@ -36,16 +43,35 @@ else ifeq ($(OS),Darwin)
 	endif
 endif
 
-# ifeq ($(BUILD_TYPE),sycl_f16)
-# 	CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON -DSD_SYCL=ON -DGGML_SYCL_F16=ON
-# endif
+ifeq ($(BUILD_TYPE),sycl_f16)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DSD_SYCL=ON \
+		-DGGML_SYCL_F16=ON
+	CC=icx
+	CXX=icpx
+	CGO_LDFLAGS_SYCL += -fsycl -L${DNNLROOT}/lib -ldnnl ${MKLROOT}/lib/intel64/libmkl_sycl.a -fiopenmp -fopenmp-targets=spir64 -lOpenCL
+	CGO_LDFLAGS_SYCL += $(shell pkg-config --libs mkl-static-lp64-gomp)
+	CGO_CXXFLAGS += -fiopenmp -fopenmp-targets=spir64
+	CGO_CXXFLAGS += $(shell pkg-config --cflags mkl-static-lp64-gomp )
+endif
 
-# ifeq ($(BUILD_TYPE),sycl_f32)
-# 	CMAKE_ARGS+=-DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DSD_SYCL=ON
-# endif
+ifeq ($(BUILD_TYPE),sycl_f32)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DSD_SYCL=ON
+	CC=icx
+	CXX=icpx
+	CGO_LDFLAGS_SYCL += -fsycl -L${DNNLROOT}/lib -ldnnl ${MKLROOT}/lib/intel64/libmkl_sycl.a -fiopenmp -fopenmp-targets=spir64 -lOpenCL
+	CGO_LDFLAGS_SYCL += $(shell pkg-config --libs mkl-static-lp64-gomp)
+	CGO_CXXFLAGS += -fiopenmp -fopenmp-targets=spir64
+	CGO_CXXFLAGS += $(shell pkg-config --cflags mkl-static-lp64-gomp )
+endif
 
 # warnings
-CXXFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function
+# CXXFLAGS += -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function
 
 # Find all .a archives in ARCHIVE_DIR
 # (ggml can have different backends cpu, cuda, etc., each backend generates a .a archive)
@@ -86,11 +112,24 @@ endif
 	$(MAKE) $(COMBINED_LIB)
 
 gosd.o:
+ifneq (,$(findstring sycl,$(BUILD_TYPE)))
+	+bash -c "source $(ONEAPI_VARS); \
+	$(CXX) $(CXXFLAGS) gosd.cpp -o gosd.o -c"
+else
 	$(CXX) $(CXXFLAGS) gosd.cpp -o gosd.o -c
+endif
 
 libsd.a: gosd.o
 	cp $(INCLUDE_PATH)/build/libstable-diffusion.a ./libsd.a
 	$(AR) rcs libsd.a gosd.o
 
+stablediffusion-ggml:
+	CGO_LDFLAGS="$(CGO_LDFLAGS) $(CGO_LDFLAGS_SYCL)" C_INCLUDE_PATH="$(INCLUDE_PATH)" LIBRARY_PATH="$(LIBRARY_PATH)" \
+	CC="$(CC)" CXX="$(CXX)" CGO_CXXFLAGS="$(CGO_CXXFLAGS)" \
+	$(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o ../../../../backend-assets/grpc/stablediffusion-ggml ./
+ifneq ($(UPX),)
+	$(UPX) ../../../../backend-assets/grpc/stablediffusion-ggml
+endif
+
 clean:
-	rm -rf gosd.o libsd.a build $(COMBINED_LIB)
+	rm -rf gosd.o libsd.a build $(COMBINED_LIB)

backend/python/autogptq/requirements.txt

@@ -1,6 +1,6 @@
 accelerate
 auto-gptq==0.7.1
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 certifi
 transformers

backend/python/bark/requirements.txt

@@ -1,4 +1,4 @@
 bark==0.1.5
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 certifi

backend/python/common/template/requirements.txt

@@ -1,3 +1,3 @@
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 grpcio-tools

backend/python/coqui/requirements.txt

@@ -1,4 +1,4 @@
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 certifi
 packaging==24.1

backend/python/diffusers/backend.py

@@ -19,7 +19,7 @@ import grpc
 
 from diffusers import SanaPipeline, StableDiffusion3Pipeline, StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, \
     EulerAncestralDiscreteScheduler, FluxPipeline, FluxTransformer2DModel
-from diffusers import StableDiffusionImg2ImgPipeline, AutoPipelineForText2Image, ControlNetModel, StableVideoDiffusionPipeline
+from diffusers import StableDiffusionImg2ImgPipeline, AutoPipelineForText2Image, ControlNetModel, StableVideoDiffusionPipeline, Lumina2Text2ImgPipeline
 from diffusers.pipelines.stable_diffusion import safety_checker
 from diffusers.utils import load_image, export_to_video
 from compel import Compel, ReturnedEmbeddingsType
@@ -287,6 +287,12 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
 
                     if request.LowVRAM:
                         self.pipe.enable_model_cpu_offload()
+            elif request.PipelineType == "Lumina2Text2ImgPipeline":
+                self.pipe = Lumina2Text2ImgPipeline.from_pretrained(
+                    request.Model,
+                    torch_dtype=torch.bfloat16)
+                if request.LowVRAM:
+                    self.pipe.enable_model_cpu_offload()
             elif request.PipelineType == "SanaPipeline":
                 self.pipe = SanaPipeline.from_pretrained(
                     request.Model,

backend/python/diffusers/requirements.txt

@@ -1,5 +1,5 @@
 setuptools
-grpcio==1.70.0
+grpcio==1.71.0
 pillow
 protobuf
 certifi

backend/python/exllama2/requirements.txt

@@ -1,4 +1,4 @@
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 certifi
 wheel

backend/python/faster-whisper/requirements.txt

@@ -1,3 +1,3 @@
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 grpcio-tools

backend/python/kokoro/requirements.txt

@@ -1,4 +1,4 @@
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 phonemizer
 scipy

backend/python/rerankers/requirements.txt

@@ -1,3 +1,3 @@
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 certifi

backend/python/transformers/requirements.txt

@@ -1,4 +1,4 @@
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 certifi
 setuptools

backend/python/vllm/requirements.txt

@@ -1,4 +1,4 @@
-grpcio==1.70.0
+grpcio==1.71.0
 protobuf
 certifi
 setuptools

core/application/application.go

@@ -16,7 +16,7 @@ type Application struct {
 func newApplication(appConfig *config.ApplicationConfig) *Application {
 	return &Application{
 		backendLoader:      config.NewBackendConfigLoader(appConfig.ModelPath),
-		modelLoader:        model.NewModelLoader(appConfig.ModelPath),
+		modelLoader:        model.NewModelLoader(appConfig.ModelPath, appConfig.SingleBackend),
 		applicationConfig:  appConfig,
 		templatesEvaluator: templates.NewEvaluator(appConfig.ModelPath),
 	}

core/application/startup.go

@@ -143,7 +143,7 @@ func New(opts ...config.AppOption) (*Application, error) {
 		}()
 	}
 
-	if options.LoadToMemory != nil {
+	if options.LoadToMemory != nil && !options.SingleBackend {
 		for _, m := range options.LoadToMemory {
 			cfg, err := application.BackendLoader().LoadBackendConfigFileByNameDefaultOptions(m, options)
 			if err != nil {

core/backend/embeddings.go

@@ -17,6 +17,7 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, backendCo
 	if err != nil {
 		return nil, err
 	}
+	defer loader.Close()
 
 	var fn func() ([]float32, error)
 	switch model := inferenceModel.(type) {

core/backend/image.go

@@ -16,6 +16,7 @@ func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negat
 	if err != nil {
 		return nil, err
 	}
+	defer loader.Close()
 
 	fn := func() error {
 		_, err := inferenceModel.GenerateImage(

core/backend/llm.go

@@ -53,6 +53,7 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
 	if err != nil {
 		return nil, err
 	}
+	defer loader.Close()
 
 	var protoMessages []*proto.Message
 	// if we are using the tokenizer template, we need to convert the messages to proto messages
@@ -116,6 +117,11 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
 		}
 
 		if tokenCallback != nil {
+
+			if c.TemplateConfig.ReplyPrefix != "" {
+				tokenCallback(c.TemplateConfig.ReplyPrefix, tokenUsage)
+			}
+
 			ss := ""
 
 			var partialRune []byte
@@ -165,8 +171,13 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
 			tokenUsage.TimingTokenGeneration = reply.TimingTokenGeneration
 			tokenUsage.TimingPromptProcessing = reply.TimingPromptProcessing
 
+			response := string(reply.Message)
+			if c.TemplateConfig.ReplyPrefix != "" {
+				response = c.TemplateConfig.ReplyPrefix + response
+			}
+
 			return LLMResponse{
-				Response: string(reply.Message),
+				Response: response,
 				Usage:    tokenUsage,
 			}, err
 		}

core/backend/options.go

@@ -40,10 +40,6 @@ func ModelOptions(c config.BackendConfig, so *config.ApplicationConfig, opts ...
 	grpcOpts := grpcModelOpts(c)
 	defOpts = append(defOpts, model.WithLoadGRPCLoadModelOpts(grpcOpts))
 
-	if so.SingleBackend {
-		defOpts = append(defOpts, model.WithSingleActiveBackend())
-	}
-
 	if so.ParallelBackendRequests {
 		defOpts = append(defOpts, model.EnableParallelRequests)
 	}
@@ -121,8 +117,7 @@ func grpcModelOpts(c config.BackendConfig) *pb.ModelOptions {
 	triggers := make([]*pb.GrammarTrigger, 0)
 	for _, t := range c.FunctionsConfig.GrammarConfig.GrammarTriggers {
 		triggers = append(triggers, &pb.GrammarTrigger{
-			Word:    t.Word,
-			AtStart: t.AtStart,
+			Word: t.Word,
 		})
 
 	}
@@ -162,33 +157,33 @@ func grpcModelOpts(c config.BackendConfig) *pb.ModelOptions {
 		DisableLogStatus:     c.DisableLogStatus,
 		DType:                c.DType,
 		// LimitMMPerPrompt vLLM
-		LimitImagePerPrompt:  int32(c.LimitMMPerPrompt.LimitImagePerPrompt),
-		LimitVideoPerPrompt:  int32(c.LimitMMPerPrompt.LimitVideoPerPrompt),
-		LimitAudioPerPrompt:  int32(c.LimitMMPerPrompt.LimitAudioPerPrompt),
-		MMProj:               c.MMProj,
-		FlashAttention:       c.FlashAttention,
-		CacheTypeKey:         c.CacheTypeK,
-		CacheTypeValue:       c.CacheTypeV,
-		NoKVOffload:          c.NoKVOffloading,
-		YarnExtFactor:        c.YarnExtFactor,
-		YarnAttnFactor:       c.YarnAttnFactor,
-		YarnBetaFast:         c.YarnBetaFast,
-		YarnBetaSlow:         c.YarnBetaSlow,
-		NGQA:                 c.NGQA,
-		RMSNormEps:           c.RMSNormEps,
-		MLock:                mmlock,
-		RopeFreqBase:         c.RopeFreqBase,
-		RopeScaling:          c.RopeScaling,
-		Type:                 c.ModelType,
-		RopeFreqScale:        c.RopeFreqScale,
-		NUMA:                 c.NUMA,
-		Embeddings:           embeddings,
-		LowVRAM:              lowVRAM,
-		NGPULayers:           int32(nGPULayers),
-		MMap:                 mmap,
-		MainGPU:              c.MainGPU,
-		Threads:              int32(*c.Threads),
-		TensorSplit:          c.TensorSplit,
+		LimitImagePerPrompt: int32(c.LimitMMPerPrompt.LimitImagePerPrompt),
+		LimitVideoPerPrompt: int32(c.LimitMMPerPrompt.LimitVideoPerPrompt),
+		LimitAudioPerPrompt: int32(c.LimitMMPerPrompt.LimitAudioPerPrompt),
+		MMProj:              c.MMProj,
+		FlashAttention:      c.FlashAttention,
+		CacheTypeKey:        c.CacheTypeK,
+		CacheTypeValue:      c.CacheTypeV,
+		NoKVOffload:         c.NoKVOffloading,
+		YarnExtFactor:       c.YarnExtFactor,
+		YarnAttnFactor:      c.YarnAttnFactor,
+		YarnBetaFast:        c.YarnBetaFast,
+		YarnBetaSlow:        c.YarnBetaSlow,
+		NGQA:                c.NGQA,
+		RMSNormEps:          c.RMSNormEps,
+		MLock:               mmlock,
+		RopeFreqBase:        c.RopeFreqBase,
+		RopeScaling:         c.RopeScaling,
+		Type:                c.ModelType,
+		RopeFreqScale:       c.RopeFreqScale,
+		NUMA:                c.NUMA,
+		Embeddings:          embeddings,
+		LowVRAM:             lowVRAM,
+		NGPULayers:          int32(nGPULayers),
+		MMap:                mmap,
+		MainGPU:             c.MainGPU,
+		Threads:             int32(*c.Threads),
+		TensorSplit:         c.TensorSplit,
 		// AutoGPTQ
 		ModelBaseName:    c.AutoGPTQ.ModelBaseName,
 		Device:           c.AutoGPTQ.Device,

core/backend/rerank.go

@@ -12,10 +12,10 @@ import (
 func Rerank(request *proto.RerankRequest, loader *model.ModelLoader, appConfig *config.ApplicationConfig, backendConfig config.BackendConfig) (*proto.RerankResult, error) {
 	opts := ModelOptions(backendConfig, appConfig)
 	rerankModel, err := loader.Load(opts...)
-
 	if err != nil {
 		return nil, err
 	}
+	defer loader.Close()
 
 	if rerankModel == nil {
 		return nil, fmt.Errorf("could not load rerank model")

core/backend/soundgeneration.go

@@ -26,10 +26,10 @@ func SoundGeneration(
 
 	opts := ModelOptions(backendConfig, appConfig)
 	soundGenModel, err := loader.Load(opts...)
-
 	if err != nil {
 		return "", nil, err
 	}
+	defer loader.Close()
 
 	if soundGenModel == nil {
 		return "", nil, fmt.Errorf("could not load sound generation model")

core/backend/token_metrics.go

@@ -20,6 +20,7 @@ func TokenMetrics(
 	if err != nil {
 		return nil, err
 	}
+	defer loader.Close()
 
 	if model == nil {
 		return nil, fmt.Errorf("could not loadmodel model")

core/backend/tokenize.go

@@ -14,10 +14,10 @@ func ModelTokenize(s string, loader *model.ModelLoader, backendConfig config.Bac
 
 	opts := ModelOptions(backendConfig, appConfig)
 	inferenceModel, err = loader.Load(opts...)
-
 	if err != nil {
 		return schema.TokenizeResponse{}, err
 	}
+	defer loader.Close()
 
 	predictOptions := gRPCPredictOpts(backendConfig, loader.ModelPath)
 	predictOptions.Prompt = s

core/backend/transcript.go

@@ -24,6 +24,7 @@ func ModelTranscription(audio, language string, translate bool, ml *model.ModelL
 	if err != nil {
 		return nil, err
 	}
+	defer ml.Close()
 
 	if transcriptionModel == nil {
 		return nil, fmt.Errorf("could not load transcription model")

core/backend/tts.go

@@ -23,10 +23,10 @@ func ModelTTS(
 ) (string, *proto.Result, error) {
 	opts := ModelOptions(backendConfig, appConfig, model.WithDefaultBackendString(model.PiperBackend))
 	ttsModel, err := loader.Load(opts...)
-
 	if err != nil {
 		return "", nil, err
 	}
+	defer loader.Close()
 
 	if ttsModel == nil {
 		return "", nil, fmt.Errorf("could not load tts model %q", backendConfig.Model)

core/backend/vad.go

@@ -19,6 +19,8 @@ func VAD(request *schema.VADRequest,
 	if err != nil {
 		return nil, err
 	}
+	defer ml.Close()
+
 	req := proto.VADRequest{
 		Audio: request.Audio,
 	}

core/cli/run.go

@@ -38,7 +38,7 @@ type RunCMD struct {
 
 	F16         bool `name:"f16" env:"LOCALAI_F16,F16" help:"Enable GPU acceleration" group:"performance"`
 	Threads     int  `env:"LOCALAI_THREADS,THREADS" short:"t" help:"Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested" group:"performance"`
-	ContextSize int  `env:"LOCALAI_CONTEXT_SIZE,CONTEXT_SIZE" default:"512" help:"Default context size for models" group:"performance"`
+	ContextSize int  `env:"LOCALAI_CONTEXT_SIZE,CONTEXT_SIZE" help:"Default context size for models" group:"performance"`
 
 	Address                            string   `env:"LOCALAI_ADDRESS,ADDRESS" default:":8080" help:"Bind address for the API server" group:"api"`
 	CORS                               bool     `env:"LOCALAI_CORS,CORS" help:"" group:"api"`

core/cli/soundgeneration.go

@@ -74,7 +74,7 @@ func (t *SoundGenerationCMD) Run(ctx *cliContext.Context) error {
 		AssetsDestination:    t.BackendAssetsPath,
 		ExternalGRPCBackends: externalBackends,
 	}
-	ml := model.NewModelLoader(opts.ModelPath)
+	ml := model.NewModelLoader(opts.ModelPath, opts.SingleBackend)
 
 	defer func() {
 		err := ml.StopAllGRPC()

core/cli/transcript.go

@@ -32,7 +32,7 @@ func (t *TranscriptCMD) Run(ctx *cliContext.Context) error {
 	}
 
 	cl := config.NewBackendConfigLoader(t.ModelsPath)
-	ml := model.NewModelLoader(opts.ModelPath)
+	ml := model.NewModelLoader(opts.ModelPath, opts.SingleBackend)
 	if err := cl.LoadBackendConfigsFromPath(t.ModelsPath); err != nil {
 		return err
 	}

core/cli/tts.go

@@ -41,7 +41,7 @@ func (t *TTSCMD) Run(ctx *cliContext.Context) error {
 		AudioDir:          outputDir,
 		AssetsDestination: t.BackendAssetsPath,
 	}
-	ml := model.NewModelLoader(opts.ModelPath)
+	ml := model.NewModelLoader(opts.ModelPath, opts.SingleBackend)
 
 	defer func() {
 		err := ml.StopAllGRPC()

core/config/backend_config.go

@@ -130,28 +130,28 @@ type LLMConfig struct {
 	TrimSpace       []string `yaml:"trimspace"`
 	TrimSuffix      []string `yaml:"trimsuffix"`
 
-	ContextSize          *int               `yaml:"context_size"`
-	NUMA                 bool               `yaml:"numa"`
-	LoraAdapter          string             `yaml:"lora_adapter"`
-	LoraBase             string             `yaml:"lora_base"`
-	LoraAdapters         []string           `yaml:"lora_adapters"`
-	LoraScales           []float32          `yaml:"lora_scales"`
-	LoraScale            float32            `yaml:"lora_scale"`
-	NoMulMatQ            bool               `yaml:"no_mulmatq"`
-	DraftModel           string             `yaml:"draft_model"`
-	NDraft               int32              `yaml:"n_draft"`
-	Quantization         string             `yaml:"quantization"`
-	LoadFormat           string             `yaml:"load_format"`
-	GPUMemoryUtilization float32            `yaml:"gpu_memory_utilization"` // vLLM
-	TrustRemoteCode      bool               `yaml:"trust_remote_code"`      // vLLM
-	EnforceEager         bool               `yaml:"enforce_eager"`          // vLLM
-	SwapSpace            int                `yaml:"swap_space"`             // vLLM
-	MaxModelLen          int                `yaml:"max_model_len"`          // vLLM
-	TensorParallelSize   int                `yaml:"tensor_parallel_size"`   // vLLM
-	DisableLogStatus     bool               `yaml:"disable_log_stats"`      // vLLM
-	DType                string             `yaml:"dtype"`                  // vLLM
-	LimitMMPerPrompt     LimitMMPerPrompt   `yaml:"limit_mm_per_prompt"`    // vLLM
-	MMProj               string             `yaml:"mmproj"`
+	ContextSize          *int             `yaml:"context_size"`
+	NUMA                 bool             `yaml:"numa"`
+	LoraAdapter          string           `yaml:"lora_adapter"`
+	LoraBase             string           `yaml:"lora_base"`
+	LoraAdapters         []string         `yaml:"lora_adapters"`
+	LoraScales           []float32        `yaml:"lora_scales"`
+	LoraScale            float32          `yaml:"lora_scale"`
+	NoMulMatQ            bool             `yaml:"no_mulmatq"`
+	DraftModel           string           `yaml:"draft_model"`
+	NDraft               int32            `yaml:"n_draft"`
+	Quantization         string           `yaml:"quantization"`
+	LoadFormat           string           `yaml:"load_format"`
+	GPUMemoryUtilization float32          `yaml:"gpu_memory_utilization"` // vLLM
+	TrustRemoteCode      bool             `yaml:"trust_remote_code"`      // vLLM
+	EnforceEager         bool             `yaml:"enforce_eager"`          // vLLM
+	SwapSpace            int              `yaml:"swap_space"`             // vLLM
+	MaxModelLen          int              `yaml:"max_model_len"`          // vLLM
+	TensorParallelSize   int              `yaml:"tensor_parallel_size"`   // vLLM
+	DisableLogStatus     bool             `yaml:"disable_log_stats"`      // vLLM
+	DType                string           `yaml:"dtype"`                  // vLLM
+	LimitMMPerPrompt     LimitMMPerPrompt `yaml:"limit_mm_per_prompt"`    // vLLM
+	MMProj               string           `yaml:"mmproj"`
 
 	FlashAttention bool   `yaml:"flash_attention"`
 	NoKVOffloading bool   `yaml:"no_kv_offloading"`
@@ -171,9 +171,9 @@ type LLMConfig struct {
 
 // LimitMMPerPrompt is a struct that holds the configuration for the limit-mm-per-prompt config in vLLM
 type LimitMMPerPrompt struct {
-	LimitImagePerPrompt   int   `yaml:"image"`
-	LimitVideoPerPrompt   int   `yaml:"video"`
-	LimitAudioPerPrompt   int   `yaml:"audio"`
+	LimitImagePerPrompt int `yaml:"image"`
+	LimitVideoPerPrompt int `yaml:"video"`
+	LimitAudioPerPrompt int `yaml:"audio"`
 }
 
 // AutoGPTQ is a struct that holds the configuration specific to the AutoGPTQ backend
@@ -213,6 +213,8 @@ type TemplateConfig struct {
 	Multimodal string `yaml:"multimodal"`
 
 	JinjaTemplate bool `yaml:"jinja_template"`
+
+	ReplyPrefix string `yaml:"reply_prefix"`
 }
 
 func (c *BackendConfig) UnmarshalYAML(value *yaml.Node) error {
@@ -387,16 +389,6 @@ func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
 		cfg.Embeddings = &falseV
 	}
 
-	// Value passed by the top level are treated as default (no implicit defaults)
-	// defaults are set by the user
-	if ctx == 0 {
-		ctx = 1024
-	}
-
-	if cfg.ContextSize == nil {
-		cfg.ContextSize = &ctx
-	}
-
 	if threads == 0 {
 		// Threads can't be 0
 		threads = 4
@@ -418,7 +410,7 @@ func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
 		cfg.Debug = &trueV
 	}
 
-	guessDefaultsFromFile(cfg, lo.modelPath)
+	guessDefaultsFromFile(cfg, lo.modelPath, ctx)
 }
 
 func (c *BackendConfig) Validate() bool {

core/config/gguf.go

@@ -0,0 +1,253 @@
+package config
+
+import (
+	"strings"
+
+	"github.com/rs/zerolog/log"
+
+	gguf "github.com/thxcode/gguf-parser-go"
+)
+
+type familyType uint8
+
+const (
+	Unknown familyType = iota
+	LLaMa3
+	CommandR
+	Phi3
+	ChatML
+	Mistral03
+	Gemma
+	DeepSeek2
+)
+
+const (
+	defaultContextSize = 1024
+)
+
+type settingsConfig struct {
+	StopWords      []string
+	TemplateConfig TemplateConfig
+	RepeatPenalty  float64
+}
+
+// default settings to adopt with a given model family
+var defaultsSettings map[familyType]settingsConfig = map[familyType]settingsConfig{
+	Gemma: {
+		RepeatPenalty: 1.0,
+		StopWords:     []string{"<|im_end|>", "<end_of_turn>", "<start_of_turn>"},
+		TemplateConfig: TemplateConfig{
+			Chat:        "{{.Input }}\n<start_of_turn>model\n",
+			ChatMessage: "<start_of_turn>{{if eq .RoleName \"assistant\" }}model{{else}}{{ .RoleName }}{{end}}\n{{ if .Content -}}\n{{.Content -}}\n{{ end -}}<end_of_turn>",
+			Completion:  "{{.Input}}",
+		},
+	},
+	DeepSeek2: {
+		StopWords: []string{"<｜end▁of▁sentence｜>"},
+		TemplateConfig: TemplateConfig{
+			ChatMessage: `{{if eq .RoleName "user" -}}User: {{.Content }}
+{{ end -}}
+{{if eq .RoleName "assistant" -}}Assistant: {{.Content}}<｜end▁of▁sentence｜>{{end}}
+{{if eq .RoleName "system" -}}{{.Content}}
+{{end -}}`,
+			Chat: "{{.Input -}}\nAssistant: ",
+		},
+	},
+	LLaMa3: {
+		StopWords: []string{"<|eot_id|>"},
+		TemplateConfig: TemplateConfig{
+			Chat:        "<|begin_of_text|>{{.Input }}\n<|start_header_id|>assistant<|end_header_id|>",
+			ChatMessage: "<|start_header_id|>{{ .RoleName }}<|end_header_id|>\n\n{{.Content }}<|eot_id|>",
+		},
+	},
+	CommandR: {
+		TemplateConfig: TemplateConfig{
+			Chat: "{{.Input -}}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>",
+			Functions: `<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>
+You are a function calling AI model, you can call the following functions:
+## Available Tools
+{{range .Functions}}
+- {"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}
+{{end}}
+When using a tool, reply with JSON, for instance {"name": "tool_name", "arguments": {"param1": "value1", "param2": "value2"}}
+<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{.Input -}}`,
+			ChatMessage: `{{if eq .RoleName "user" -}}
+<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
+{{- else if eq .RoleName "system" -}}
+<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
+{{- else if eq .RoleName "assistant" -}}
+<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
+{{- else if eq .RoleName "tool" -}}
+<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
+{{- else if .FunctionCall -}}
+<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{toJson .FunctionCall}}}<|END_OF_TURN_TOKEN|>
+{{- end -}}`,
+		},
+		StopWords: []string{"<|END_OF_TURN_TOKEN|>"},
+	},
+	Phi3: {
+		TemplateConfig: TemplateConfig{
+			Chat:        "{{.Input}}\n<|assistant|>",
+			ChatMessage: "<|{{ .RoleName }}|>\n{{.Content}}<|end|>",
+			Completion:  "{{.Input}}",
+		},
+		StopWords: []string{"<|end|>", "<|endoftext|>"},
+	},
+	ChatML: {
+		TemplateConfig: TemplateConfig{
+			Chat: "{{.Input -}}\n<|im_start|>assistant",
+			Functions: `<|im_start|>system
+You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
+{{range .Functions}}
+{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
+{{end}}
+For each function call return a json object with function name and arguments
+<|im_end|>
+{{.Input -}}
+<|im_start|>assistant`,
+			ChatMessage: `<|im_start|>{{ .RoleName }}
+{{ if .FunctionCall -}}
+Function call:
+{{ else if eq .RoleName "tool" -}}
+Function response:
+{{ end -}}
+{{ if .Content -}}
+{{.Content }}
+{{ end -}}
+{{ if .FunctionCall -}}
+{{toJson .FunctionCall}}
+{{ end -}}<|im_end|>`,
+		},
+		StopWords: []string{"<|im_end|>", "<dummy32000>", "</s>"},
+	},
+	Mistral03: {
+		TemplateConfig: TemplateConfig{
+			Chat:      "{{.Input -}}",
+			Functions: `[AVAILABLE_TOOLS] [{{range .Functions}}{"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}{{end}} ] [/AVAILABLE_TOOLS]{{.Input }}`,
+			ChatMessage: `{{if eq .RoleName "user" -}}
+[INST] {{.Content }} [/INST]
+{{- else if .FunctionCall -}}
+[TOOL_CALLS] {{toJson .FunctionCall}} [/TOOL_CALLS]
+{{- else if eq .RoleName "tool" -}}
+[TOOL_RESULTS] {{.Content}} [/TOOL_RESULTS]
+{{- else -}}
+{{ .Content -}}
+{{ end -}}`,
+		},
+		StopWords: []string{"<|im_end|>", "<dummy32000>", "</tool_call>", "<|eot_id|>", "<|end_of_text|>", "</s>", "[/TOOL_CALLS]", "[/ACTIONS]"},
+	},
+}
+
+// this maps well known template used in HF to model families defined above
+var knownTemplates = map[string]familyType{
+	`{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}`:                              ChatML,
+	`{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}`: Mistral03,
+}
+
+func guessGGUFFromFile(cfg *BackendConfig, f *gguf.GGUFFile, defaultCtx int) {
+
+	if defaultCtx == 0 && cfg.ContextSize == nil {
+		ctxSize := f.EstimateLLaMACppUsage().ContextSize
+		if ctxSize > 0 {
+			cSize := int(ctxSize)
+			cfg.ContextSize = &cSize
+		} else {
+			defaultCtx = defaultContextSize
+			cfg.ContextSize = &defaultCtx
+		}
+	}
+
+	if cfg.HasTemplate() {
+		// nothing to guess here
+		log.Debug().Any("name", cfg.Name).Msgf("guessDefaultsFromFile: %s", "template already set")
+		return
+	}
+
+	log.Debug().
+		Any("eosTokenID", f.Tokenizer().EOSTokenID).
+		Any("bosTokenID", f.Tokenizer().BOSTokenID).
+		Any("modelName", f.Model().Name).
+		Any("architecture", f.Architecture().Architecture).Msgf("Model file loaded: %s", cfg.ModelFileName())
+
+	// guess the name
+	if cfg.Name == "" {
+		cfg.Name = f.Model().Name
+	}
+
+	family := identifyFamily(f)
+
+	if family == Unknown {
+		log.Debug().Msgf("guessDefaultsFromFile: %s", "family not identified")
+		return
+	}
+
+	// identify template
+	settings, ok := defaultsSettings[family]
+	if ok {
+		cfg.TemplateConfig = settings.TemplateConfig
+		log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: guessed template %+v", cfg.TemplateConfig)
+		if len(cfg.StopWords) == 0 {
+			cfg.StopWords = settings.StopWords
+		}
+		if cfg.RepeatPenalty == 0.0 {
+			cfg.RepeatPenalty = settings.RepeatPenalty
+		}
+	} else {
+		log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: no template found for family")
+	}
+
+	if cfg.HasTemplate() {
+		return
+	}
+
+	// identify from well known templates first, otherwise use the raw jinja template
+	chatTemplate, found := f.Header.MetadataKV.Get("tokenizer.chat_template")
+	if found {
+		// try to use the jinja template
+		cfg.TemplateConfig.JinjaTemplate = true
+		cfg.TemplateConfig.ChatMessage = chatTemplate.ValueString()
+	}
+}
+
+func identifyFamily(f *gguf.GGUFFile) familyType {
+
+	// identify from well known templates first
+	chatTemplate, found := f.Header.MetadataKV.Get("tokenizer.chat_template")
+	if found && chatTemplate.ValueString() != "" {
+		if family, ok := knownTemplates[chatTemplate.ValueString()]; ok {
+			return family
+		}
+	}
+
+	// otherwise try to identify from the model properties
+	arch := f.Architecture().Architecture
+	eosTokenID := f.Tokenizer().EOSTokenID
+	bosTokenID := f.Tokenizer().BOSTokenID
+
+	isYI := arch == "llama" && bosTokenID == 1 && eosTokenID == 2
+	// WTF! Mistral0.3 and isYi have same bosTokenID and eosTokenID
+
+	llama3 := arch == "llama" && eosTokenID == 128009
+	commandR := arch == "command-r" && eosTokenID == 255001
+	qwen2 := arch == "qwen2"
+	phi3 := arch == "phi-3"
+	gemma := strings.HasPrefix(arch, "gemma") || strings.Contains(strings.ToLower(f.Model().Name), "gemma")
+	deepseek2 := arch == "deepseek2"
+
+	switch {
+	case deepseek2:
+		return DeepSeek2
+	case gemma:
+		return Gemma
+	case llama3:
+		return LLaMa3
+	case commandR:
+		return CommandR
+	case phi3:
+		return Phi3
+	case qwen2, isYI:
+		return ChatML
+	default:
+		return Unknown
+	}
+}

core/config/guesser.go

@@ -3,147 +3,12 @@ package config
 import (
 	"os"
 	"path/filepath"
-	"strings"
 
 	"github.com/rs/zerolog/log"
-
 	gguf "github.com/thxcode/gguf-parser-go"
 )
 
-type familyType uint8
-
-const (
-	Unknown familyType = iota
-	LLaMa3
-	CommandR
-	Phi3
-	ChatML
-	Mistral03
-	Gemma
-	DeepSeek2
-)
-
-type settingsConfig struct {
-	StopWords      []string
-	TemplateConfig TemplateConfig
-	RepeatPenalty  float64
-}
-
-// default settings to adopt with a given model family
-var defaultsSettings map[familyType]settingsConfig = map[familyType]settingsConfig{
-	Gemma: {
-		RepeatPenalty: 1.0,
-		StopWords:     []string{"<|im_end|>", "<end_of_turn>", "<start_of_turn>"},
-		TemplateConfig: TemplateConfig{
-			Chat:        "{{.Input }}\n<start_of_turn>model\n",
-			ChatMessage: "<start_of_turn>{{if eq .RoleName \"assistant\" }}model{{else}}{{ .RoleName }}{{end}}\n{{ if .Content -}}\n{{.Content -}}\n{{ end -}}<end_of_turn>",
-			Completion:  "{{.Input}}",
-		},
-	},
-	DeepSeek2: {
-		StopWords: []string{"<｜end▁of▁sentence｜>"},
-		TemplateConfig: TemplateConfig{
-			ChatMessage: `{{if eq .RoleName "user" -}}User: {{.Content }}
-{{ end -}}
-{{if eq .RoleName "assistant" -}}Assistant: {{.Content}}<｜end▁of▁sentence｜>{{end}}
-{{if eq .RoleName "system" -}}{{.Content}}
-{{end -}}`,
-			Chat: "{{.Input -}}\nAssistant: ",
-		},
-	},
-	LLaMa3: {
-		StopWords: []string{"<|eot_id|>"},
-		TemplateConfig: TemplateConfig{
-			Chat:        "<|begin_of_text|>{{.Input }}\n<|start_header_id|>assistant<|end_header_id|>",
-			ChatMessage: "<|start_header_id|>{{ .RoleName }}<|end_header_id|>\n\n{{.Content }}<|eot_id|>",
-		},
-	},
-	CommandR: {
-		TemplateConfig: TemplateConfig{
-			Chat: "{{.Input -}}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>",
-			Functions: `<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>
-You are a function calling AI model, you can call the following functions:
-## Available Tools
-{{range .Functions}}
-- {"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}
-{{end}}
-When using a tool, reply with JSON, for instance {"name": "tool_name", "arguments": {"param1": "value1", "param2": "value2"}}
-<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{.Input -}}`,
-			ChatMessage: `{{if eq .RoleName "user" -}}
-<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
-{{- else if eq .RoleName "system" -}}
-<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
-{{- else if eq .RoleName "assistant" -}}
-<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
-{{- else if eq .RoleName "tool" -}}
-<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{.Content}}<|END_OF_TURN_TOKEN|>
-{{- else if .FunctionCall -}}
-<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{toJson .FunctionCall}}}<|END_OF_TURN_TOKEN|>
-{{- end -}}`,
-		},
-		StopWords: []string{"<|END_OF_TURN_TOKEN|>"},
-	},
-	Phi3: {
-		TemplateConfig: TemplateConfig{
-			Chat:        "{{.Input}}\n<|assistant|>",
-			ChatMessage: "<|{{ .RoleName }}|>\n{{.Content}}<|end|>",
-			Completion:  "{{.Input}}",
-		},
-		StopWords: []string{"<|end|>", "<|endoftext|>"},
-	},
-	ChatML: {
-		TemplateConfig: TemplateConfig{
-			Chat: "{{.Input -}}\n<|im_start|>assistant",
-			Functions: `<|im_start|>system
-You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
-{{range .Functions}}
-{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
-{{end}}
-For each function call return a json object with function name and arguments
-<|im_end|>
-{{.Input -}}
-<|im_start|>assistant`,
-			ChatMessage: `<|im_start|>{{ .RoleName }}
-{{ if .FunctionCall -}}
-Function call:
-{{ else if eq .RoleName "tool" -}}
-Function response:
-{{ end -}}
-{{ if .Content -}}
-{{.Content }}
-{{ end -}}
-{{ if .FunctionCall -}}
-{{toJson .FunctionCall}}
-{{ end -}}<|im_end|>`,
-		},
-		StopWords: []string{"<|im_end|>", "<dummy32000>", "</s>"},
-	},
-	Mistral03: {
-		TemplateConfig: TemplateConfig{
-			Chat:      "{{.Input -}}",
-			Functions: `[AVAILABLE_TOOLS] [{{range .Functions}}{"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}{{end}} ] [/AVAILABLE_TOOLS]{{.Input }}`,
-			ChatMessage: `{{if eq .RoleName "user" -}}
-[INST] {{.Content }} [/INST]
-{{- else if .FunctionCall -}}
-[TOOL_CALLS] {{toJson .FunctionCall}} [/TOOL_CALLS]
-{{- else if eq .RoleName "tool" -}}
-[TOOL_RESULTS] {{.Content}} [/TOOL_RESULTS]
-{{- else -}}
-{{ .Content -}}
-{{ end -}}`,
-		},
-		StopWords: []string{"<|im_end|>", "<dummy32000>", "</tool_call>", "<|eot_id|>", "<|end_of_text|>", "</s>", "[/TOOL_CALLS]", "[/ACTIONS]"},
-	},
-}
-
-// this maps well known template used in HF to model families defined above
-var knownTemplates = map[string]familyType{
-	`{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}`:                              ChatML,
-	`{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}`: Mistral03,
-}
-
-func guessDefaultsFromFile(cfg *BackendConfig, modelPath string) {
-
+func guessDefaultsFromFile(cfg *BackendConfig, modelPath string, defaultCtx int) {
 	if os.Getenv("LOCALAI_DISABLE_GUESSING") == "true" {
 		log.Debug().Msgf("guessDefaultsFromFile: %s", "guessing disabled with LOCALAI_DISABLE_GUESSING")
 		return
@@ -154,106 +19,20 @@ func guessDefaultsFromFile(cfg *BackendConfig, modelPath string) {
 		return
 	}
 
-	if cfg.HasTemplate() {
-		// nothing to guess here
-		log.Debug().Any("name", cfg.Name).Msgf("guessDefaultsFromFile: %s", "template already set")
-		return
-	}
-
 	// We try to guess only if we don't have a template defined already
 	guessPath := filepath.Join(modelPath, cfg.ModelFileName())
+
+	// try to parse the gguf file
 	f, err := gguf.ParseGGUFFile(guessPath)
-	if err != nil {
-		// Only valid for gguf files
-		log.Debug().Str("filePath", guessPath).Msg("guessDefaultsFromFile: not a GGUF file")
+	if err == nil {
+		guessGGUFFromFile(cfg, f, defaultCtx)
 		return
 	}
 
-	log.Debug().
-		Any("eosTokenID", f.Tokenizer().EOSTokenID).
-		Any("bosTokenID", f.Tokenizer().BOSTokenID).
-		Any("modelName", f.Model().Name).
-		Any("architecture", f.Architecture().Architecture).Msgf("Model file loaded: %s", cfg.ModelFileName())
-
-	// guess the name
-	if cfg.Name == "" {
-		cfg.Name = f.Model().Name
-	}
-
-	family := identifyFamily(f)
-
-	if family == Unknown {
-		log.Debug().Msgf("guessDefaultsFromFile: %s", "family not identified")
-		return
-	}
-
-	// identify template
-	settings, ok := defaultsSettings[family]
-	if ok {
-		cfg.TemplateConfig = settings.TemplateConfig
-		log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: guessed template %+v", cfg.TemplateConfig)
-		if len(cfg.StopWords) == 0 {
-			cfg.StopWords = settings.StopWords
+	if cfg.ContextSize == nil {
+		if defaultCtx == 0 {
+			defaultCtx = defaultContextSize
 		}
-		if cfg.RepeatPenalty == 0.0 {
-			cfg.RepeatPenalty = settings.RepeatPenalty
-		}
-	} else {
-		log.Debug().Any("family", family).Msgf("guessDefaultsFromFile: no template found for family")
-	}
-
-	if cfg.HasTemplate() {
-		return
-	}
-
-	// identify from well known templates first, otherwise use the raw jinja template
-	chatTemplate, found := f.Header.MetadataKV.Get("tokenizer.chat_template")
-	if found {
-		// try to use the jinja template
-		cfg.TemplateConfig.JinjaTemplate = true
-		cfg.TemplateConfig.ChatMessage = chatTemplate.ValueString()
-	}
-}
-
-func identifyFamily(f *gguf.GGUFFile) familyType {
-
-	// identify from well known templates first
-	chatTemplate, found := f.Header.MetadataKV.Get("tokenizer.chat_template")
-	if found && chatTemplate.ValueString() != "" {
-		if family, ok := knownTemplates[chatTemplate.ValueString()]; ok {
-			return family
-		}
-	}
-
-	// otherwise try to identify from the model properties
-	arch := f.Architecture().Architecture
-	eosTokenID := f.Tokenizer().EOSTokenID
-	bosTokenID := f.Tokenizer().BOSTokenID
-
-	isYI := arch == "llama" && bosTokenID == 1 && eosTokenID == 2
-	// WTF! Mistral0.3 and isYi have same bosTokenID and eosTokenID
-
-	llama3 := arch == "llama" && eosTokenID == 128009
-	commandR := arch == "command-r" && eosTokenID == 255001
-	qwen2 := arch == "qwen2"
-	phi3 := arch == "phi-3"
-	gemma := strings.HasPrefix(arch, "gemma") || strings.Contains(strings.ToLower(f.Model().Name), "gemma")
-	deepseek2 := arch == "deepseek2"
-
-	switch {
-	case deepseek2:
-		return DeepSeek2
-	case gemma:
-		return Gemma
-	case llama3:
-		return LLaMa3
-	case commandR:
-		return CommandR
-	case phi3:
-		return Phi3
-	case qwen2, isYI:
-		return ChatML
-	default:
-		return Unknown
+		cfg.ContextSize = &defaultCtx
 	}
 }

core/http/app.go

@@ -139,6 +139,28 @@ func API(application *application.Application) (*fiber.App, error) {
 		return nil, fmt.Errorf("failed to create key auth config: %w", err)
 	}
 
+	httpFS := http.FS(embedDirStatic)
+
+	router.Use(favicon.New(favicon.Config{
+		URL:        "/favicon.svg",
+		FileSystem: httpFS,
+		File:       "static/favicon.svg",
+	}))
+
+	router.Use("/static", filesystem.New(filesystem.Config{
+		Root:       httpFS,
+		PathPrefix: "static",
+		Browse:     true,
+	}))
+
+	if application.ApplicationConfig().ImageDir != "" {
+		router.Static("/generated-images", application.ApplicationConfig().ImageDir)
+	}
+
+	if application.ApplicationConfig().AudioDir != "" {
+		router.Static("/generated-audio", application.ApplicationConfig().AudioDir)
+	}
+
 	// Auth is applied to _all_ endpoints. No exceptions. Filtering out endpoints to bypass is the role of the Filter property of the KeyAuth Configuration
 	router.Use(v2keyauth.New(*kaConfig))
 
@@ -176,20 +198,6 @@ func API(application *application.Application) (*fiber.App, error) {
 	}
 	routes.RegisterJINARoutes(router, requestExtractor, application.BackendLoader(), application.ModelLoader(), application.ApplicationConfig())
 
-	httpFS := http.FS(embedDirStatic)
-
-	router.Use(favicon.New(favicon.Config{
-		URL:        "/favicon.ico",
-		FileSystem: httpFS,
-		File:       "static/favicon.ico",
-	}))
-
-	router.Use("/static", filesystem.New(filesystem.Config{
-		Root:       httpFS,
-		PathPrefix: "static",
-		Browse:     true,
-	}))
-
 	// Define a custom 404 handler
 	// Note: keep this at the bottom!
 	router.Use(notFoundHandler)

core/http/elements/gallery.go

@@ -122,15 +122,15 @@ func modelModal(m *gallery.GalleryModel) elem.Node {
 			"id":          modalName(m),
 			"tabindex":    "-1",
 			"aria-hidden": "true",
-			"class":       "hidden overflow-y-auto overflow-x-hidden fixed top-0 right-0 left-0 z-50 justify-center items-center w-full md:inset-0 h-[calc(100%-1rem)] max-h-full",
+			"class":       "hidden fixed top-0 right-0 left-0 z-50 justify-center items-center w-full md:inset-0 h-full max-h-full bg-gray-900/50",
 		},
 		elem.Div(
 			attrs.Props{
-				"class": "relative p-4 w-full max-w-2xl max-h-full",
+				"class": "relative p-4 w-full max-w-2xl h-[90vh] mx-auto mt-[5vh]",
 			},
 			elem.Div(
 				attrs.Props{
-					"class": "relative p-4 w-full max-w-2xl max-h-full bg-white rounded-lg shadow dark:bg-gray-700",
+					"class": "relative bg-white rounded-lg shadow dark:bg-gray-700 h-full flex flex-col",
 				},
 				// header
 				elem.Div(
@@ -164,14 +164,13 @@ func modelModal(m *gallery.GalleryModel) elem.Node {
 				// body
 				elem.Div(
 					attrs.Props{
-						"class": "p-4 md:p-5 space-y-4",
+						"class": "p-4 md:p-5 space-y-4 overflow-y-auto flex-1 min-h-0",
 					},
 					elem.Div(
 						attrs.Props{
 							"class": "flex justify-center items-center",
 						},
 						elem.Img(attrs.Props{
-							//	"class": "rounded-t-lg object-fit object-center h-96",
 							"class":   "lazy rounded-t-lg max-h-48 max-w-96 object-cover mt-3 entered loaded",
 							"src":     m.Icon,
 							"loading": "lazy",
@@ -232,7 +231,6 @@ func modelModal(m *gallery.GalleryModel) elem.Node {
 			),
 		),
 	)
-
 }
 
 func modelDescription(m *gallery.GalleryModel) elem.Node {

core/http/elements/p2p.go

@@ -2,6 +2,7 @@ package elements
 
 import (
 	"fmt"
+	"time"
 
 	"github.com/chasefleming/elem-go"
 	"github.com/chasefleming/elem-go/attrs"
@@ -18,19 +19,6 @@ func renderElements(n []elem.Node) string {
 }
 
 func P2PNodeStats(nodes []p2p.NodeData) string {
-	/*
-	   <div class="bg-gray-800 p-6 rounded-lg shadow-lg text-left">
-	                       <p class="text-xl font-semibold text-gray-200">Total Workers Detected: {{ len .Nodes }}</p>
-	                       {{ $online := 0 }}
-	                       {{ range .Nodes }}
-	                           {{ if .IsOnline }}
-	                               {{ $online = add $online 1 }}
-	                           {{ end }}
-	                       {{ end }}
-	                       <p class="text-xl font-semibold text-gray-200">Total Online Workers: {{$online}}</p>
-	                   </div>
-	*/
-
 	online := 0
 	for _, n := range nodes {
 		if n.IsOnline() {
@@ -38,27 +26,21 @@ func P2PNodeStats(nodes []p2p.NodeData) string {
 		}
 	}
 
-	class := "text-green-500"
+	class := "text-blue-400"
 	if online == 0 {
-		class = "text-red-500"
+		class = "text-red-400"
 	}
-	/*
-	   <i class="fas fa-circle animate-pulse text-green-500 ml-2 mr-1"></i>
-	*/
-	circle := elem.I(attrs.Props{
-		"class": "fas fa-circle animate-pulse " + class + " ml-2 mr-1",
-	})
+
 	nodesElements := []elem.Node{
 		elem.Span(
 			attrs.Props{
-				"class": class,
+				"class": class + " font-bold text-xl",
 			},
-			circle,
 			elem.Text(fmt.Sprintf("%d", online)),
 		),
 		elem.Span(
 			attrs.Props{
-				"class": "text-gray-200",
+				"class": "text-gray-300 text-xl",
 			},
 			elem.Text(fmt.Sprintf("/%d", len(nodes))),
 		),
@@ -68,77 +50,73 @@ func P2PNodeStats(nodes []p2p.NodeData) string {
 }
 
 func P2PNodeBoxes(nodes []p2p.NodeData) string {
-	/*
-			<div class="bg-gray-800 p-4 rounded-lg shadow-lg text-left">
-			<div class="flex items-center mb-2">
-				<i class="fas fa-desktop text-gray-400 mr-2"></i>
-				<span class="text-gray-200 font-semibold">{{.ID}}</span>
-			</div>
-			<p class="text-sm text-gray-400 mt-2 flex items-center">
-				Status:
-				<i class="fas fa-circle {{ if .IsOnline }}text-green-500{{ else }}text-red-500{{ end }} ml-2 mr-1"></i>
-				<span class="{{ if .IsOnline }}text-green-400{{ else }}text-red-400{{ end }}">
-					{{ if .IsOnline }}Online{{ else }}Offline{{ end }}
-				</span>
-			</p>
-		</div>
-	*/
-
 	nodesElements := []elem.Node{}
 
 	for _, n := range nodes {
+		nodeID := bluemonday.StrictPolicy().Sanitize(n.ID)
+
+		// Define status-specific classes
+		statusIconClass := "text-green-400"
+		statusText := "Online"
+		statusTextClass := "text-green-400"
+
+		if !n.IsOnline() {
+			statusIconClass = "text-red-400"
+			statusText = "Offline"
+			statusTextClass = "text-red-400"
+		}
 
 		nodesElements = append(nodesElements,
 			elem.Div(
 				attrs.Props{
-					"class": "bg-gray-700 p-6 rounded-lg shadow-lg text-left",
+					"class": "bg-gray-800/80 border border-gray-700/50 rounded-xl p-4 shadow-lg transition-all duration-300 hover:shadow-blue-900/20 hover:border-blue-700/50",
 				},
-				elem.P(
+				// Node ID and status indicator in top row
+				elem.Div(
 					attrs.Props{
-						"class": "text-sm text-gray-400 mt-2 flex",
+						"class": "flex items-center justify-between mb-3",
 					},
-					elem.I(
+					// Node ID with icon
+					elem.Div(
 						attrs.Props{
-							"class": "fas fa-desktop text-gray-400 mr-2",
+							"class": "flex items-center",
 						},
-					),
-					elem.Text("Name: "),
-					elem.Span(
-						attrs.Props{
-							"class": "text-gray-200 font-semibold ml-2 mr-1",
-						},
-						elem.Text(bluemonday.StrictPolicy().Sanitize(n.ID)),
-					),
-					elem.Text("Status: "),
-					elem.If(
-						n.IsOnline(),
 						elem.I(
 							attrs.Props{
-								"class": "fas fa-circle animate-pulse text-green-500 ml-2 mr-1",
+								"class": "fas fa-server text-blue-400 mr-2",
 							},
 						),
-						elem.I(
-							attrs.Props{
-								"class": "fas fa-circle animate-pulse text-red-500 ml-2 mr-1",
-							},
-						),
-					),
-					elem.If(
-						n.IsOnline(),
-						elem.Span(
-							attrs.Props{
-								"class": "text-green-400",
-							},
-
-							elem.Text("Online"),
-						),
 						elem.Span(
 							attrs.Props{
-								"class": "text-red-400",
+								"class": "text-white font-medium",
 							},
-							elem.Text("Offline"),
+							elem.Text(nodeID),
 						),
 					),
+					// Status indicator
+					elem.Div(
+						attrs.Props{
+							"class": "flex items-center",
+						},
+						elem.I(
+							attrs.Props{
+								"class": "fas fa-circle animate-pulse " + statusIconClass + " mr-1.5",
+							},
+						),
+						elem.Span(
+							attrs.Props{
+								"class": statusTextClass,
+							},
+							elem.Text(statusText),
+						),
+					),
+				),
+				// Bottom section with timestamp
+				elem.Div(
+					attrs.Props{
+						"class": "text-xs text-gray-400 pt-1 border-t border-gray-700/30",
+					},
+					elem.Text("Last updated: "+time.Now().UTC().Format("2006-01-02 15:04:05")),
 				),
 			))
 	}

core/http/endpoints/localai/stores.go

@@ -21,6 +21,7 @@ func StoresSetEndpoint(sl *model.ModelLoader, appConfig *config.ApplicationConfi
 		if err != nil {
 			return err
 		}
+		defer sl.Close()
 
 		vals := make([][]byte, len(input.Values))
 		for i, v := range input.Values {
@@ -48,6 +49,7 @@ func StoresDeleteEndpoint(sl *model.ModelLoader, appConfig *config.ApplicationCo
 		if err != nil {
 			return err
 		}
+		defer sl.Close()
 
 		if err := store.DeleteCols(c.Context(), sb, input.Keys); err != nil {
 			return err
@@ -69,6 +71,7 @@ func StoresGetEndpoint(sl *model.ModelLoader, appConfig *config.ApplicationConfi
 		if err != nil {
 			return err
 		}
+		defer sl.Close()
 
 		keys, vals, err := store.GetCols(c.Context(), sb, input.Keys)
 		if err != nil {
@@ -100,6 +103,7 @@ func StoresFindEndpoint(sl *model.ModelLoader, appConfig *config.ApplicationConf
 		if err != nil {
 			return err
 		}
+		defer sl.Close()
 
 		keys, vals, similarities, err := store.Find(c.Context(), sb, input.Key, input.Topk)
 		if err != nil {

core/http/endpoints/openai/assistant_test.go

@@ -40,7 +40,7 @@ func TestAssistantEndpoints(t *testing.T) {
 	cl := &config.BackendConfigLoader{}
 	//configsDir := "/tmp/localai/configs"
 	modelPath := "/tmp/localai/model"
-	var ml = model.NewModelLoader(modelPath)
+	var ml = model.NewModelLoader(modelPath, false)
 
 	appConfig := &config.ApplicationConfig{
 		ConfigsDir:    configsDir,

core/http/explorer.go

@@ -29,9 +29,9 @@ func Explorer(db *explorer.Database) *fiber.App {
 	httpFS := http.FS(embedDirStatic)
 
 	app.Use(favicon.New(favicon.Config{
-		URL:        "/favicon.ico",
+		URL:        "/favicon.svg",
 		FileSystem: httpFS,
-		File:       "static/favicon.ico",
+		File:       "static/favicon.svg",
 	}))
 
 	app.Use("/static", filesystem.New(filesystem.Config{

core/http/routes/localai.go

@@ -50,11 +50,10 @@ func RegisterLocalAIRoutes(router *fiber.App,
 	router.Post("/v1/vad", vadChain...)
 
 	// Stores
-	sl := model.NewModelLoader("")
-	router.Post("/stores/set", localai.StoresSetEndpoint(sl, appConfig))
-	router.Post("/stores/delete", localai.StoresDeleteEndpoint(sl, appConfig))
-	router.Post("/stores/get", localai.StoresGetEndpoint(sl, appConfig))
-	router.Post("/stores/find", localai.StoresFindEndpoint(sl, appConfig))
+	router.Post("/stores/set", localai.StoresSetEndpoint(ml, appConfig))
+	router.Post("/stores/delete", localai.StoresDeleteEndpoint(ml, appConfig))
+	router.Post("/stores/get", localai.StoresGetEndpoint(ml, appConfig))
+	router.Post("/stores/find", localai.StoresFindEndpoint(ml, appConfig))
 
 	if !appConfig.DisableMetrics {
 		router.Get("/metrics", localai.LocalAIMetricsEndpoint())

core/http/routes/openai.go

@@ -112,14 +112,6 @@ func RegisterOpenAIRoutes(app *fiber.App,
 		re.SetOpenAIRequest,
 		openai.ImageEndpoint(application.BackendLoader(), application.ModelLoader(), application.ApplicationConfig()))
 
-	if application.ApplicationConfig().ImageDir != "" {
-		app.Static("/generated-images", application.ApplicationConfig().ImageDir)
-	}
-
-	if application.ApplicationConfig().AudioDir != "" {
-		app.Static("/generated-audio", application.ApplicationConfig().AudioDir)
-	}
-
 	// List models
 	app.Get("/v1/models", openai.ListModelsEndpoint(application.BackendLoader(), application.ModelLoader(), application.ApplicationConfig()))
 	app.Get("/models", openai.ListModelsEndpoint(application.BackendLoader(), application.ModelLoader(), application.ApplicationConfig()))

core/http/routes/ui.go

@@ -173,7 +173,6 @@ func RegisterUIRoutes(app *fiber.App,
 			}
 
 			if page != "" {
-				log.Debug().Msgf("page : %+v\n", page)
 				// return a subset of the models
 				pageNum, err := strconv.Atoi(page)
 				if err != nil {
@@ -193,7 +192,6 @@ func RegisterUIRoutes(app *fiber.App,
 
 				models = models.Paginate(pageNum, itemsNum)
 
-				log.Debug().Msgf("number of models : %+v\n", len(models))
 				prevPage := pageNum - 1
 				nextPage := pageNum + 1
 				if prevPage < 1 {
@@ -552,7 +550,7 @@ func RegisterUIRoutes(app *fiber.App,
 		title := "LocalAI - Generate audio"
 
 		for _, b := range backendConfigs {
-			if b.HasUsecases(config.FLAG_CHAT) {
+			if b.HasUsecases(config.FLAG_TTS) {
 				modelThatCanBeUsed = b.Name
 				title = "LocalAI - Generate audio with " + modelThatCanBeUsed
 				break

core/http/static/chat.js

@@ -42,12 +42,6 @@ function toggleLoader(show) {
   }
 }
 
-function submitKey(event) {
-    event.preventDefault();
-    localStorage.setItem("key", document.getElementById("apiKey").value);
-    document.getElementById("apiKey").blur();
-}
-
 function submitSystemPrompt(event) {
   event.preventDefault();
   localStorage.setItem("system_prompt", document.getElementById("systemPrompt").value);
@@ -62,10 +56,9 @@ function submitPrompt(event) {
   const input = document.getElementById("input").value;
   Alpine.store("chat").add("user", input, image);
   document.getElementById("input").value = "";
-  const key = localStorage.getItem("key");
   const systemPrompt = localStorage.getItem("system_prompt");
   Alpine.nextTick(() => { document.getElementById('messages').scrollIntoView(false); });
-  promptGPT(systemPrompt, key, input);
+  promptGPT(systemPrompt, input);
 }
 
 function readInputImage() {
@@ -82,7 +75,7 @@ function readInputImage() {
 }
 
 
-  async function promptGPT(systemPrompt, key, input) {
+  async function promptGPT(systemPrompt, input) {
     const model = document.getElementById("chat-model").value;
     // Set class "loader" to the element with "loader" id
     //document.getElementById("loader").classList.add("loader");
@@ -160,7 +153,6 @@ function readInputImage() {
     const response = await fetch("v1/chat/completions", {
       method: "POST",
       headers: {
-        Authorization: `Bearer ${key}`,
         "Content-Type": "application/json",
       },
       body: JSON.stringify({
@@ -266,20 +258,12 @@ function readInputImage() {
     document.getElementById("input").focus();
   }
 
-  document.getElementById("key").addEventListener("submit", submitKey);
   document.getElementById("system_prompt").addEventListener("submit", submitSystemPrompt);
 
   document.getElementById("prompt").addEventListener("submit", submitPrompt);
   document.getElementById("input").focus();
   document.getElementById("input_image").addEventListener("change", readInputImage);
 
-  storeKey = localStorage.getItem("key");
-  if (storeKey) {
-    document.getElementById("apiKey").value = storeKey;
-  } else {
-    document.getElementById("apiKey").value = null;
-  }
-
   storesystemPrompt = localStorage.getItem("system_prompt");
   if (storesystemPrompt) {
     document.getElementById("systemPrompt").value = storesystemPrompt;

core/http/static/image.js

@@ -1,48 +1,11 @@
-/*
-
-https://github.com/david-haerer/chatapi
-
-MIT License
-
-Copyright (c) 2023 David Härer
-Copyright (c) 2024 Ettore Di Giacinto
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
-*/
-function submitKey(event) {
-    event.preventDefault();
-    localStorage.setItem("key", document.getElementById("apiKey").value);
-    document.getElementById("apiKey").blur();
-  }
-  
-
 function genImage(event) {
   event.preventDefault();
   const input = document.getElementById("input").value;
-  const key = localStorage.getItem("key");
-
-  promptDallE(key, input);
 
+  promptDallE(input);
 }
   
-async function promptDallE(key, input) {
+async function promptDallE(input) {
   document.getElementById("loader").style.display = "block";
   document.getElementById("input").value = "";
   document.getElementById("input").disabled = true;
@@ -51,7 +14,6 @@ async function promptDallE(key, input) {
   const response = await fetch("v1/images/generations", {
     method: "POST",
     headers: {
-      Authorization: `Bearer ${key}`,
       "Content-Type": "application/json",
     },
     body: JSON.stringify({
@@ -84,13 +46,6 @@ async function promptDallE(key, input) {
   document.getElementById("input").focus();
 }
 
-document.getElementById("key").addEventListener("submit", submitKey);
 document.getElementById("input").focus();
 document.getElementById("genimage").addEventListener("submit", genImage);
 document.getElementById("loader").style.display = "none";
-
-const storeKey = localStorage.getItem("key");
-if (storeKey) {
-  document.getElementById("apiKey").value = storeKey;
-}
-

core/http/static/talk.js

@@ -9,10 +9,6 @@ let isRecording = false;
 let conversationHistory = [];
 let resetTimer;
 
-function getApiKey() {
-    return document.getElementById('apiKey').value;
-}
-
 function getModel() {
     return document.getElementById('modelSelect').value;
 }
@@ -99,34 +95,13 @@ function stopRecording() {
     };
 }
 
-function submitKey(event) {
-    event.preventDefault();
-    localStorage.setItem("key", document.getElementById("apiKey").value);
-    document.getElementById("apiKey").blur();
-}
-
-document.getElementById("key").addEventListener("submit", submitKey);
-
-
-storeKey = localStorage.getItem("key");
-if (storeKey) {
-  document.getElementById("apiKey").value = storeKey;
-} else {
-  document.getElementById("apiKey").value = null;
-}
-
-
 async function sendAudioToWhisper(audioBlob) {
     const formData = new FormData();
     formData.append('file', audioBlob);
     formData.append('model', getWhisperModel());
-    API_KEY = localStorage.getItem("key");
 
     const response = await fetch('v1/audio/transcriptions', {
         method: 'POST',
-        headers: {
-            'Authorization': `Bearer ${API_KEY}`
-        },
         body: formData
     });
 
@@ -137,14 +112,9 @@ async function sendAudioToWhisper(audioBlob) {
 
 async function sendTextToChatGPT(text) {
     conversationHistory.push({ role: "user", content: text });
-    API_KEY = localStorage.getItem("key");
 
     const response = await fetch('v1/chat/completions', {
         method: 'POST',
-        headers: {
-            'Authorization': `Bearer ${API_KEY}`,
-            'Content-Type': 'application/json'
-        },
         body: JSON.stringify({
             model: getModel(),
             messages: conversationHistory
@@ -161,13 +131,10 @@ async function sendTextToChatGPT(text) {
 }
 
 async function getTextToSpeechAudio(text) {
-    API_KEY = localStorage.getItem("key");
-
     const response = await fetch('v1/audio/speech', {
         
         method: 'POST',
         headers: {
-            'Authorization': `Bearer ${API_KEY}`,
             'Content-Type': 'application/json'
         },
         body: JSON.stringify({ 

core/http/static/tts.js

@@ -1,64 +1,204 @@
-function submitKey(event) {
-    event.preventDefault();
-    localStorage.setItem("key", document.getElementById("apiKey").value);
-    document.getElementById("apiKey").blur();
-  }
-  
+// Initialize Alpine store for API key management
+document.addEventListener('alpine:init', () => {
+  Alpine.store('chat', {  });
+});
 
 function genAudio(event) {
   event.preventDefault();
   const input = document.getElementById("input").value;
-  const key = localStorage.getItem("key");
 
-  tts(key, input);
-}
-  
-async function tts(key, input) {
-  document.getElementById("loader").style.display = "block";
-  document.getElementById("input").value = "";
-  document.getElementById("input").disabled = true;
-
-  const model = document.getElementById("tts-model").value;
-  const response = await fetch("tts", {
-    method: "POST",
-    headers: {
-      Authorization: `Bearer ${key}`,
-      "Content-Type": "application/json",
-    },
-    body: JSON.stringify({
-      model: model,
-      input: input,
-    }),
-  });
-  if (!response.ok) {
-    const jsonData = await response.json(); // Now safely parse JSON
-    var div = document.getElementById('result');
-    div.innerHTML = '<p style="color:red;">Error: ' +jsonData.error.message + '</p>';
+  if (!input.trim()) {
+    showNotification('error', 'Please enter text to convert to speech');
     return;
   }
 
-  var div = document.getElementById('result');  // Get the div by its ID
-  var link=document.createElement('a');
-  link.className = "m-2 float-right inline-block rounded bg-primary px-6 pb-2.5 mb-3 pt-2.5 text-xs font-medium uppercase leading-normal text-white shadow-primary-3 transition duration-150 ease-in-out hover:bg-primary-accent-300 hover:shadow-primary-2 focus:bg-primary-accent-300 focus:shadow-primary-2 focus:outline-none focus:ring-0 active:bg-primary-600 active:shadow-primary-2 dark:shadow-black/30 dark:hover:shadow-dark-strong dark:focus:shadow-dark-strong dark:active:shadow-dark-strong";
-  link.innerHTML = "<i class='fa-solid fa-download'></i> Download result";
-  const blob = await response.blob();
-  link.href=window.URL.createObjectURL(blob);
+  tts(input);
+}
 
-  div.innerHTML = '';                             // Clear the existing content of the div
-  div.appendChild(link);                           // Add the new img element to the div
-  console.log(link)
-  document.getElementById("loader").style.display = "none";
-  document.getElementById("input").disabled = false;
+function showNotification(type, message) {
+  // Remove any existing notification
+  const existingNotification = document.getElementById('notification');
+  if (existingNotification) {
+    existingNotification.remove();
+  }
+  
+  // Create new notification
+  const notification = document.createElement('div');
+  notification.id = 'notification';
+  notification.classList.add(
+    'fixed', 'top-24', 'right-4', 'z-50', 'p-4', 'rounded-lg', 'shadow-lg',
+    'transform', 'transition-all', 'duration-300', 'ease-in-out', 'translate-y-0',
+    'flex', 'items-center', 'gap-2'
+  );
+  
+  // Style based on notification type
+  if (type === 'error') {
+    notification.classList.add('bg-red-900/90', 'border', 'border-red-700', 'text-red-200');
+    notification.innerHTML = '<i class="fas fa-circle-exclamation text-red-400 mr-2"></i>' + message;
+  } else if (type === 'warning') {
+    notification.classList.add('bg-yellow-900/90', 'border', 'border-yellow-700', 'text-yellow-200');
+    notification.innerHTML = '<i class="fas fa-triangle-exclamation text-yellow-400 mr-2"></i>' + message;
+  } else if (type === 'success') {
+    notification.classList.add('bg-green-900/90', 'border', 'border-green-700', 'text-green-200');
+    notification.innerHTML = '<i class="fas fa-circle-check text-green-400 mr-2"></i>' + message;
+  } else {
+    notification.classList.add('bg-blue-900/90', 'border', 'border-blue-700', 'text-blue-200');
+    notification.innerHTML = '<i class="fas fa-circle-info text-blue-400 mr-2"></i>' + message;
+  }
+  
+  // Add close button
+  const closeBtn = document.createElement('button');
+  closeBtn.innerHTML = '<i class="fas fa-xmark"></i>';
+  closeBtn.classList.add('ml-auto', 'text-gray-400', 'hover:text-white', 'transition-colors');
+  closeBtn.onclick = () => {
+    notification.classList.add('opacity-0', 'translate-y-[-20px]');
+    setTimeout(() => notification.remove(), 300);
+  };
+  notification.appendChild(closeBtn);
+  
+  // Add to DOM
+  document.body.appendChild(notification);
+  
+  // Animate in
+  setTimeout(() => {
+    notification.classList.add('opacity-0', 'translate-y-[-20px]');
+    notification.offsetHeight; // Force reflow
+    notification.classList.remove('opacity-0', 'translate-y-[-20px]');
+  }, 10);
+  
+  // Auto dismiss after 5 seconds
+  setTimeout(() => {
+    if (document.getElementById('notification')) {
+      notification.classList.add('opacity-0', 'translate-y-[-20px]');
+      setTimeout(() => notification.remove(), 300);
+    }
+  }, 5000);
+}
+
+async function tts(input) {
+  // Show loader and prepare UI
+  const loader = document.getElementById("loader");
+  const inputField = document.getElementById("input");
+  const resultDiv = document.getElementById("result");
+  
+  loader.style.display = "block";
+  inputField.value = "";
+  inputField.disabled = true;
+  resultDiv.innerHTML = '<div class="text-center text-gray-400 italic">Processing your request...</div>';
+
+  // Get the model and make API request
+  const model = document.getElementById("tts-model").value;
+  try {
+    const response = await fetch("tts", {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        model: model,
+        input: input,
+      }),
+    });
+    
+    if (!response.ok) {
+      const jsonData = await response.json();
+      resultDiv.innerHTML = `
+        <div class="bg-red-900/30 border border-red-700/50 rounded-lg p-4 text-center">
+          <i class="fas fa-circle-exclamation text-red-400 text-2xl mb-2"></i>
+          <p class="text-red-300 font-medium">${jsonData.error.message || 'An error occurred'}</p>
+        </div>
+      `;
+      showNotification('error', 'Failed to generate audio');
+      return;
+    }
+
+    // Handle successful response
+    const blob = await response.blob();
+    const audioUrl = window.URL.createObjectURL(blob);
+    
+    // Create audio player
+    const audioPlayer = document.createElement('div');
+    audioPlayer.className = 'flex flex-col items-center space-y-4 w-full';
+    
+    // Create audio element with styled controls
+    const audio = document.createElement('audio');
+    audio.controls = true;
+    audio.src = audioUrl;
+    audio.className = 'w-full my-4';
+    audioPlayer.appendChild(audio);
+    
+    // Create action buttons container
+    const actionButtons = document.createElement('div');
+    actionButtons.className = 'flex flex-wrap justify-center gap-3';
+    
+    // Download button
+    const downloadLink = document.createElement('a');
+    downloadLink.href = audioUrl;
+    downloadLink.download = `tts-${model}-${new Date().toISOString().slice(0, 10)}.mp3`;
+    downloadLink.className = 'group flex items-center bg-blue-600 hover:bg-blue-700 text-white py-2 px-4 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg';
+    downloadLink.innerHTML = `
+      <i class="fas fa-download mr-2"></i>
+      <span>Download</span>
+      <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+    `;
+    actionButtons.appendChild(downloadLink);
+    
+    // Replay button
+    const replayButton = document.createElement('button');
+    replayButton.className = 'group flex items-center bg-purple-600 hover:bg-purple-700 text-white py-2 px-4 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg';
+    replayButton.innerHTML = `
+      <i class="fas fa-rotate-right mr-2"></i>
+      <span>Replay</span>
+    `;
+    replayButton.onclick = () => audio.play();
+    actionButtons.appendChild(replayButton);
+    
+    // Add text display
+    const textDisplay = document.createElement('div');
+    textDisplay.className = 'mt-4 p-4 bg-gray-800/50 border border-gray-700/50 rounded-lg text-gray-300 text-center italic';
+    textDisplay.textContent = `"${input}"`;
+    
+    // Add all elements to result div
+    audioPlayer.appendChild(actionButtons);
+    resultDiv.innerHTML = '';
+    resultDiv.appendChild(audioPlayer);
+    resultDiv.appendChild(textDisplay);
+    
+    // Play audio automatically
+    audio.play();
+    
+    // Show success notification
+    showNotification('success', 'Audio generated successfully');
+    
+  } catch (error) {
+    console.error('Error generating audio:', error);
+    resultDiv.innerHTML = `
+      <div class="bg-red-900/30 border border-red-700/50 rounded-lg p-4 text-center">
+        <i class="fas fa-circle-exclamation text-red-400 text-2xl mb-2"></i>
+        <p class="text-red-300 font-medium">Network error: Failed to connect to the server</p>
+      </div>
+    `;
+    showNotification('error', 'Network error occurred');
+  } finally {
+    // Reset UI state
+    loader.style.display = "none";
+    inputField.disabled = false;
+    inputField.focus();
+  }
+}
+
+// Set up event listeners when DOM is loaded
+document.addEventListener('DOMContentLoaded', () => {
   document.getElementById("input").focus();
-}
-
-document.getElementById("key").addEventListener("submit", submitKey);
-document.getElementById("input").focus();
-document.getElementById("tts").addEventListener("submit", genAudio);
-document.getElementById("loader").style.display = "none";
-
-const storeKey = localStorage.getItem("key");
-if (storeKey) {
-  document.getElementById("apiKey").value = storeKey;
-}
-
+  document.getElementById("tts").addEventListener("submit", genAudio);
+  document.getElementById("loader").style.display = "none";
+ 
+  // Add basic keyboard shortcuts
+  document.addEventListener('keydown', (e) => {
+    // Submit on Ctrl+Enter
+    if (e.key === 'Enter' && e.ctrlKey && document.activeElement.id === 'input') {
+      e.preventDefault();
+      document.getElementById("tts").dispatchEvent(new Event('submit'));
+    }
+  });
+});

core/http/views/404.html

@@ -1,28 +1,51 @@
 <!DOCTYPE html>
 <html lang="en">
-
 {{template "views/partials/head" .}}
 
-<body class="bg-black text-white">
+<body class="bg-gradient-to-br from-gray-900 to-gray-950 text-gray-200">
 <div class="flex flex-col min-h-screen">
-   
+
     {{template "views/partials/navbar" .}}
-    
-    <div class="container mx-auto px-4 flex-grow">
-        <div class="header text-center py-12">
-            <h1 class="text-5xl font-bold">Welcome to your LocalAI instance!</h1>
-            <div class="mt-6">
-         <!--       <a href="./" aria-label="HomePage" alt="HomePage">
-                    <img class="mx-auto w-1/4 h-auto" src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo">            
-                </a>
-            -->
+
+    <div class="container mx-auto px-4 py-8 flex-grow">
+        <!-- Error Section -->
+        <div class="bg-gradient-to-r from-blue-900/30 to-indigo-900/30 rounded-2xl shadow-xl p-8 mb-10">
+            <div class="max-w-4xl mx-auto text-center">
+                <div class="mb-6 text-6xl text-blue-400">
+                    <i class="fas fa-exclamation-circle"></i>
+                </div>
+                <h1 class="text-4xl md:text-5xl font-bold text-white mb-4">
+                    <span class="bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">
+                        404 - Page Not Found
+                    </span>
+                </h1>
+                <p class="text-xl text-gray-300 mb-6">The page you're looking for doesn't exist or has been moved</p>
+                <div class="flex flex-wrap justify-center gap-4">
+                    <a href="./" 
+                       class="group flex items-center bg-blue-600 hover:bg-blue-700 text-white py-2 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg">
+                        <i class="fas fa-home mr-2"></i>
+                        <span>Return Home</span>
+                        <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+                    </a>
+                    <a href="browse" 
+                       class="group flex items-center bg-indigo-600 hover:bg-indigo-700 text-white py-2 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg">
+                        <i class="fas fa-images mr-2"></i>
+                        <span>Browse Gallery</span>
+                        <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+                    </a>
+                </div>
             </div>
-            <p class="mt-4 text-lg">The FOSS alternative to OpenAI, Claude, ...</p>
-            <a href="https://localai.io" target="_blank" class="mt-4 inline-block bg-blue-500 text-white py-2 px-4 rounded transition duration-300 ease-in-out hover:bg-blue-700"><i class="fas fa-book-reader pr-2"></i>Documentation</a>
         </div>
 
-        <div class="models mt-12">
-            <h2 class="text-center text-3xl font-semibold">Nothing found!</h2>
+        <!-- Additional Information -->
+        <div class="bg-gray-800/50 border border-gray-700/50 rounded-xl p-8 shadow-md backdrop-blur-sm">
+            <div class="text-center max-w-3xl mx-auto">
+                <div class="inline-flex items-center justify-center w-16 h-16 rounded-full bg-yellow-500/20 mb-4">
+                    <i class="text-yellow-400 text-2xl fa-solid fa-triangle-exclamation"></i>
+                </div>
+                <h2 class="text-2xl md:text-3xl font-semibold text-gray-100 mb-4">Looking for resources?</h2>
+                <p class="text-lg text-gray-300 mb-6">Visit our <a class="text-blue-400 hover:text-blue-300 underline underline-offset-2" href="browse">🖼️ Gallery</a> or check the <a href="https://localai.io/basics/getting_started/" class="text-blue-400 hover:text-blue-300 underline underline-offset-2"> <i class="fa-solid fa-book"></i> Getting started documentation</a></p>
+            </div>
         </div>
     </div>
 
@@ -30,4 +53,4 @@
 </div>
 
 </body>
-</html>
+</html>

core/http/views/chat.html

@@ -31,7 +31,7 @@ SOFTWARE.
   <script defer src="static/chat.js"></script>
   {{ $allGalleryConfigs:=.GalleryConfig }}
   {{ $model:=.Model}}
-  <body class="bg-slate-900 text-gray-100 flex flex-col h-screen" x-data="{ key: $store.chat.key, sidebarOpen: true }">
+  <body class="bg-slate-900 text-gray-100 flex flex-col h-screen" x-data="{ sidebarOpen: true }">
     {{template "views/partials/navbar" .}}
 
     <!-- Main container with sidebar toggle -->
@@ -150,36 +150,9 @@ SOFTWARE.
             </div>
 
             <!-- Settings tab -->
-            <div x-show="activeTab === 'settings'" x-data="{ showKeyForm: false, showPromptForm: false }" class="space-y-3">
+            <div x-show="activeTab === 'settings'" x-data="{ showPromptForm: false }" class="space-y-3">           
               <button 
-                @click="showKeyForm = !showKeyForm; showPromptForm = false" 
-                class="w-full flex items-center justify-between px-3 py-2 text-sm rounded text-white bg-gray-700 hover:bg-gray-600 transition-colors"
-              >
-                <span><i class="fa-solid fa-key mr-2"></i> API Key</span>
-                <i :class="showKeyForm ? 'fa-chevron-up' : 'fa-chevron-down'" class="fa-solid"></i>
-              </button>
-              
-              <div x-show="showKeyForm" class="p-3 bg-gray-700 rounded">
-                <form id="key" class="flex flex-col space-y-2">
-                  <input
-                    type="password"
-                    id="apiKey"
-                    name="apiKey"
-                    class="bg-gray-800 text-white border border-gray-600 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-50 rounded-md shadow-sm p-2 appearance-none"
-                    placeholder="OpenAI API Key"
-                    x-model.lazy="key"
-                  />
-                  <button
-                    type="submit"
-                    class="px-3 py-2 text-sm rounded text-white bg-blue-600 hover:bg-blue-700 transition-colors"
-                  >
-                    Save API Key
-                  </button>
-                </form>
-              </div>
-
-              <button 
-                @click="showPromptForm = !showPromptForm; showKeyForm = false" 
+                @click="showPromptForm = !showPromptForm" 
                 class="w-full flex items-center justify-between px-3 py-2 text-sm rounded text-white bg-gray-700 hover:bg-gray-600 transition-colors"
               >
                 <span><i class="fa-solid fa-message mr-2"></i> System Prompt</span>

core/http/views/explorer.html

@@ -1,380 +1,224 @@
 <!DOCTYPE html>
 <html lang="en">
-
 {{template "views/partials/head" .}}
 
-<style>
-    body {
-        background-color: #1a202c;
-        color: #e2e8f0;
-        font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-    }
-    .token {
-        word-break: break-all;
-    }
-    .container {
-        max-width: 800px;
-        margin: 0 auto;
-        padding: 20px;
-        position: relative;
-    }
-    .network-card {
-        background-color: #2d3748;
-        padding: 20px;
-        border-radius: 8px;
-        margin-bottom: 20px;
-        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
-        transition: transform 0.3s ease, box-shadow 0.3s ease;
-    }
-    .network-card:hover {
-        transform: translateY(-5px);
-        box-shadow: 0 6px 10px rgba(0, 0, 0, 0.15);
-    }
-    .network-title {
-        font-size: 24px;
-        font-weight: bold;
-        margin-bottom: 10px;
-        color: #63b3ed;
-    }
-    .network-token {
-        font-size: 14px;
-        font-style: italic;
-        color: #cbd5e0;
-        margin-bottom: 10px;
-        word-break: break-word; /* Breaks words to prevent overflow */
-        overflow-wrap: break-word; /* Ensures long strings break */
-        white-space: pre-wrap; /* Preserves whitespace for breaking */
-    }
-    .cluster {
-        margin-top: 10px;
-        background-color: #4a5568;
-        padding: 10px;
-        border-radius: 6px;
-        transition: background-color 0.3s ease;
-    }
-    .cluster:hover {
-        background-color: #5a6b78;
-    }
-    .cluster-title {
-        font-size: 18px;
-        font-weight: bold;
-        color: #e2e8f0;
-    }
-    .form-container {
-        background-color: #2d3748;
-        padding: 20px;
-        border-radius: 8px;
-        margin-bottom: 20px;
-        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
-    }
-    .form-control {
-        margin-bottom: 15px;
-    }
-    label {
-        display: block;
-        margin-bottom: 5px;
-        font-weight: bold;
-    }
-    input[type="text"],
-    textarea {
-        width: 100%;
-        padding: 10px;
-        border-radius: 4px;
-        border: 1px solid #4a5568;
-        background-color: #3a4250;
-        color: #e2e8f0;
-        transition: border-color 0.3s ease, background-color 0.3s ease;
-    }
-    input[type="text"]:focus,
-    textarea:focus {
-        border-color: #63b3ed;
-        background-color: #4a5568;
-    }
-    button {
-        background-color: #3182ce;
-        color: #e2e8f0;
-        padding: 10px 20px;
-        border: none;
-        border-radius: 4px;
-        cursor: pointer;
-        transition: background-color 0.3s ease;
-    }
-    .error {
-        color: #e53e3e;
-        margin-top: 5px;
-    }
-    .success {
-        color: #38a169;
-        margin-top: 5px;
-    }
-    /* Spinner Styles */
-    .spinner {
-        display: inline-block;
-        width: 50px;
-        height: 50px;
-        border: 5px solid rgba(255, 255, 255, 0.2);
-        border-radius: 50%;
-        border-top-color: #3182ce;
-        animation: spin 1s linear infinite;
-        margin: 0 auto;
-    }
+<body class="bg-gradient-to-br from-gray-900 to-gray-950 text-gray-200">
+<div class="flex flex-col min-h-screen">
 
-    @keyframes spin {
-        to { transform: rotate(360deg); }
-    }
-
-    /* Center the loading text and spinner */
-    .loading-container {
-        text-align: center;
-        padding: 50px;
-    }
-    .warning-box {
-            border-radius: 5px;
-    }
-    .warning-box i {
-        margin-right: 10px;
-    }
-    .token-box {
-            background-color: #4a5568;
-            padding: 10px;
-            border-radius: 4px;
-            margin-top: 10px;
-            position: relative;
-            cursor: pointer;
-        }
-        .token-box:hover {
-            background-color: #5a6b7e;
-        }
-        .token-text {
-            overflow-wrap: break-word;
-            font-family: monospace;
-        }
-        .copy-icon {
-            position: absolute;
-            top: 10px;
-            right: 10px;
-            color: #e2e8f0;
-        }
-</style>
-
-<body class="bg-gray-900 text-gray-200">
-    <div class="flex flex-col min-h-screen" x-data="networkClusters()" x-init="init()">
-        {{template "views/partials/navbar_explorer" .}}
-        <div class="animation-container">
-            <canvas id="networkCanvas"></canvas>
-            <div class="text-overlay">
-                <header class="text-center py-12">
-                    <h1 class="text-5xl font-bold text-gray-100">
-                        <i class="fa-solid fa-circle-nodes mr-2"></i> Network Clusters Explorer   
-        
-                    </h1>
-                    <p class="mt-4 text-lg">
-                        View the clusters and workers available in each network.
-                        <a href="https://localai.io/features/distribute/" target="_blank">
-                            <i class="fas fa-circle-info pr-2"></i>
-                        </a>
-                    </p>
-        
-                </header>
+    <!-- Simple navigation for login page -->
+    <nav class="bg-gray-900/80 border-b border-gray-800/60 backdrop-blur-sm">
+        <div class="container mx-auto px-4 py-4 flex justify-between items-center">
+            <div class="flex items-center">
+                <i class="fas fa-network-wired text-blue-400 text-2xl mr-3"></i>
+                <h1 class="text-xl font-bold text-white">LocalAI</h1>
             </div>
         </div>
+    </nav>
 
-        <div class="container mx-auto px-4 flex-grow">
-        <!-- Warning Box -->
-        <div class="warning-box bg-yellow-100 text-gray-800 mb-20 pt-5 pb-5 pr-5 pl-5 text-lg">
-            <i class="fa-solid fa-triangle-exclamation"></i><i class="fa-solid fa-flask"></i>
-            The explorer is a global, community-driven tool to share network tokens and view available clusters in the globe.
-            Anyone can use the tokens to offload computation and use the clusters available or share resources.
-            This is provided without any warranty. Use it at your own risk. We are not responsible for any potential harm or misuse. Sharing tokens globally allows anyone from the internet to use your instances. 
-            Although the community will address bugs, this is experimental software and may be insecure to deploy on your hardware unless you take all necessary precautions.
-        </div>
-            <div class="flow-root">
-            <!-- Toggle button for showing/hiding the form -->
-            <button class="bg-red-600 hover:bg-blue-600 float-right mb-2 flex items-center px-4 py-2 rounded" @click="toggleForm()">
-                <!-- Conditional icon display -->
-                <i :class="showForm ? 'fa-solid fa-times' : 'fa-solid fa-plus'" class="mr-2"></i>
-                <span x-text="showForm ? 'Close' : 'Add New Network'"></span>
-            </button>
-        </div>
-            <!-- Form for adding a new network -->
-            <div class="form-container" x-show="showForm" @click.outside="showForm = false">
-                <h2 class="text-3xl font-bold mb-4"><i class="fa-solid fa-plus"></i> Add New Network</h2>
-                <div class="form-control">
-                    <label for="name">Network Name</label>
-                    <input type="text" id="name" x-model="newNetwork.name" placeholder="Enter network name" />
+    <div class="container mx-auto px-4 py-8 flex-grow flex items-center justify-center">
+        <!-- Auth Card -->
+        <div class="max-w-md w-full bg-gray-800/90 border border-gray-700/50 rounded-xl overflow-hidden shadow-xl">
+            <div class="animation-container">
+                <div class="text-overlay">
+                    <i class="fas fa-circle-nodes text-5xl text-blue-400 mb-2"></i>
                 </div>
-                <div class="form-control">
-                    <label for="description">Description</label>
-                    <textarea id="description" x-model="newNetwork.description" placeholder="Enter description"></textarea>
-                </div>
-                <div class="form-control">
-                    <label for="token">Token</label>
-                    <textarea id="token" x-model="newNetwork.token" placeholder="Enter token"></textarea>
-                </div>
-                <button @click="addNetwork"><i class="fa-solid fa-plus"></i> Add Network</button>
-                <template x-if="errorMessage">
-                    <p class="error" x-text="errorMessage"></p>
-                </template>
-                <template x-if="successMessage">
-                    <p class="success" x-text="successMessage"></p>
-                </template>
             </div>
-
-            <!-- Loading Spinner -->
-            <template x-if="networks.length === 0 && !loadingComplete">
-                <div class="loading-container">
-                    <div class="spinner"></div>
-                    <p class="text-center mt-4">Loading networks...</p>
+            
+            <div class="p-8">
+                <div class="text-center mb-6">
+                    <h2 class="text-2xl font-bold text-white">
+                        <span class="bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">
+                            Authorization Required
+                        </span>
+                    </h2>
+                    <p class="text-gray-400 mt-2">Please enter your access token to continue</p>
                 </div>
-            </template>
-
-            <template x-if="networks.length === 0 && loadingComplete">
-                <div class="loading-container">
-                    <p class="text-center mt-4">No networks available with online workers</p>
-                </div>
-            </template>
-
-            <!-- Display Networks -->
-            <template x-for="network in networks" :key="network.name">
-                <div class="network-card">
-                    <i class="fa-solid fa-circle-nodes mr-2"></i><span class="network-title font-bold mb-4 mt-1" x-text="network.name"></span>
-                    <div class="token-box" @click="copyToken(network.token)">
-                        <p class="text-lg font-bold mb-4 mt-1">
-                            <i class="fa-solid fa-copy copy-icon"></i>
-                            <i class="fa-solid fa-key mr-2"></i>Token (click to copy): 
-                        </p>
-                        <span class="token-text" x-text="network.token"></span>
-                    </div>
-
-                    <div class="cluster">
-                        <p class="text-lg font-bold mb-4 mt-1"><i class="fa-solid fa-book mr-2"></i> Description</p>
-                        <p x-text="network.description"></p>
-                    </div>
-                    <h2 class="text-3xl font-bold mb-4 mt-4">Available Clusters in this network</h2>
-                    <template x-for="cluster in network.Clusters" :key="cluster.NetworkID + cluster.Type">
-                        <div class="cluster">
-                            <div class="cluster-title"></div>
-                            <span class="inline-block bg-orange-500 text-white py-1 px-3 rounded-full text-xs"  x-text="'Cluster Type: ' + cluster.Type">
-                            </span>
-
-                            <span class="inline-block bg-orange-500 text-white py-1 px-3 rounded-full text-xs" x-show="cluster.NetworkID" x-text="'Network ID: ' + (cluster.NetworkID || 'N/A')">
-                            </span>
-                            <span class="inline-block bg-blue-500 text-white py-1 px-3 rounded-full text-xs"  x-text="'Number of Workers: ' + cluster.Workers.length">
-                            </span>
-                            <!-- Give commands and instructions to join the network -->
-                            <span class="inline-block token-box text-white py-1 px-3 text-xs" x-show="cluster.Type == 'federated'" >
-                                <p class="text-lg font-bold mb-4 mt-1">
-                                    <i class="fa-solid fa-copy copy-icon float-right"></i>
-                                    Command to connect (click to copy): 
-                                </p>
-                                <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words"  @click="copyToken($el.textContent)" >
-                                    docker run -d --restart=always -e ADDRESS=":80" -e LOCALAI_P2P_NETWORK_ID=<span class="token" x-text="cluster.NetworkID"></span> -e LOCALAI_P2P_LOGLEVEL=debug --name local-ai -e TOKEN="<span class="token" x-text="network.token"></span>" --net host -ti localai/localai:master-ffmpeg-core federated --debug
-                                </code>
-                                or via CLI:
-                                <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words"  @click="copyToken($el.textContent)" >
-                                   ADDRESS=":80" LOCALAI_P2P_NETWORK_ID=<span class="token" x-text="cluster.NetworkID"></span> LOCALAI_P2P_LOGLEVEL=debug TOKEN="<span class="token" x-text="network.token"></span>" local-ai federated --debug
-                                </code>
-                            </span>
+                
+                <form id="login-form" class="space-y-6" onsubmit="login(); return false;">
+                    <div>
+                        <label for="token" class="block text-sm font-medium text-gray-300 mb-2">Access Token</label>
+                        <div class="relative">
+                            <div class="absolute inset-y-0 left-0 pl-3 flex items-center pointer-events-none">
+                                <i class="fas fa-key text-gray-500"></i>
+                            </div>
+                            <input 
+                                type="password" 
+                                id="token" 
+                                name="token" 
+                                placeholder="Enter your token" 
+                                class="bg-gray-700/50 border border-gray-600 text-white placeholder-gray-400 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full pl-10 p-2.5"
+                                required
+                            />
                         </div>
-                    </template>
+                    </div>
+                    
+                    <div>
+                        <button 
+                            type="submit" 
+                            class="group w-full flex items-center justify-center bg-gradient-to-r from-blue-600 to-indigo-600 hover:from-blue-700 hover:to-indigo-700 text-white py-3 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-[1.02] hover:shadow-lg font-medium"
+                        >
+                            <i class="fas fa-sign-in-alt mr-2"></i>
+                            <span>Login</span>
+                            <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+                        </button>
+                    </div>
+                </form>
+                
+                <div class="mt-8 pt-6 border-t border-gray-700/50 text-center text-sm text-gray-400">
+                    <div class="flex items-center justify-center mb-2">
+                        <i class="fas fa-shield-alt mr-2 text-blue-400"></i>
+                        <span>Secure connection</span>
+                    </div>
+                    <p>Current time (UTC): <span id="current-time">{{.CurrentDate}}</span></p>
                 </div>
-            </template>
+            </div>
         </div>
-        <script>
-            function networkClusters() {
-                return {
-                    networks: [],
-                    newNetwork: {
-                        name: '',
-                        description: '',
-                        token: ''
-                    },
-                    errorMessage: '',
-                    successMessage: '',
-                    showForm: false, // Form visibility state
-                    loadingComplete: false, // To track if loading is complete
-                    toggleForm() {
-                        this.showForm = !this.showForm;
-                        console.log('Toggling form:', this.showForm);
-                    },
-                    fetchNetworks() {
-                        console.log('Fetching networks...');
-                        fetch('/networks')
-                            .then(response => response.json())
-                            .then(data => {
-                                console.log('Data fetched successfully:', data);
-                                this.networks = data;
-                                this.loadingComplete = true; // Set loading complete
-                            })
-                            .catch(error => {
-                                console.error('Error fetching networks:', error);
-                                this.loadingComplete = true; // Ensure spinner is hidden if error occurs
-                            });
-                    },
+    </div>
 
-                    addNetwork() {
-                        this.errorMessage = '';
-                        this.successMessage = '';
-                        console.log('Adding new network:', this.newNetwork);
+    {{template "views/partials/footer" .}}
+</div>
 
-                        // Validate input
-                        if (!this.newNetwork.name || !this.newNetwork.description || !this.newNetwork.token) {
-                            this.errorMessage = 'All fields are required.';
-                            return;
+<script>
+    function login() {
+        const token = document.getElementById('token').value;
+        if (!token.trim()) {
+            // Show error with fading effect
+            const form = document.getElementById('login-form');
+            const errorMsg = document.createElement('div');
+            errorMsg.className = 'p-3 mt-4 bg-red-900/50 text-red-200 rounded-lg border border-red-700/50 text-sm flex items-center';
+            errorMsg.innerHTML = '<i class="fas fa-exclamation-circle mr-2"></i> Please enter a valid token';
+            
+            // Remove any existing error message
+            const existingError = form.querySelector('.bg-red-900/50');
+            if (existingError) form.removeChild(existingError);
+            
+            // Add new error message with animation
+            form.appendChild(errorMsg);
+            setTimeout(() => {
+                errorMsg.style.opacity = '0';
+                errorMsg.style.transition = 'opacity 0.5s ease';
+                setTimeout(() => errorMsg.remove(), 500);
+            }, 3000);
+            return;
+        }
+        
+        var date = new Date();
+        date.setTime(date.getTime() + (24*60*60*1000));
+        document.cookie = `token=${token}; expires=${date.toGMTString()}; path=/`;
+
+        // Show loading state
+        const button = document.querySelector('button[type="submit"]');
+        const originalContent = button.innerHTML;
+        button.disabled = true;
+        button.innerHTML = '<i class="fas fa-spinner fa-spin mr-2"></i> Authenticating...';
+        button.classList.add('bg-gray-600');
+        
+        // Reload after short delay to show loading state
+        setTimeout(() => {
+            window.location.reload();
+        }, 800);
+    }
+    
+    // Update current time
+    function updateCurrentTime() {
+        const timeElement = document.getElementById('current-time');
+        if (timeElement) {
+            const now = new Date();
+            const year = now.getUTCFullYear();
+            const month = String(now.getUTCMonth() + 1).padStart(2, '0');
+            const day = String(now.getUTCDate()).padStart(2, '0');
+            const hours = String(now.getUTCHours()).padStart(2, '0');
+            const minutes = String(now.getUTCMinutes()).padStart(2, '0');
+            const seconds = String(now.getUTCSeconds()).padStart(2, '0');
+            timeElement.textContent = `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`;
+        }
+    }
+    
+    // Initialize current time and update it every second
+    updateCurrentTime();
+    setInterval(updateCurrentTime, 1000);
+    
+    // Add subtle particle animation to the background
+    document.addEventListener('DOMContentLoaded', function() {
+        const animContainer = document.querySelector('.animation-container');
+        if (animContainer) {
+            const canvas = document.createElement('canvas');
+            animContainer.appendChild(canvas);
+            
+            const ctx = canvas.getContext('2d');
+            canvas.width = animContainer.offsetWidth;
+            canvas.height = animContainer.offsetHeight;
+            
+            // Create particles
+            const particles = [];
+            const particleCount = 30;
+            
+            for (let i = 0; i < particleCount; i++) {
+                particles.push({
+                    x: Math.random() * canvas.width,
+                    y: Math.random() * canvas.height,
+                    radius: Math.random() * 3 + 1,
+                    color: `rgba(${Math.random() * 50 + 50}, ${Math.random() * 100 + 100}, ${Math.random() * 155 + 100}, ${Math.random() * 0.4 + 0.1})`,
+                    speedX: Math.random() * 0.5 - 0.25,
+                    speedY: Math.random() * 0.5 - 0.25
+                });
+            }
+            
+            // Animation loop
+            function animate() {
+                requestAnimationFrame(animate);
+                ctx.clearRect(0, 0, canvas.width, canvas.height);
+                
+                particles.forEach(particle => {
+                    particle.x += particle.speedX;
+                    particle.y += particle.speedY;
+                    
+                    // Bounce off edges
+                    if (particle.x < 0 || particle.x > canvas.width) {
+                        particle.speedX = -particle.speedX;
+                    }
+                    
+                    if (particle.y < 0 || particle.y > canvas.height) {
+                        particle.speedY = -particle.speedY;
+                    }
+                    
+                    // Draw particle
+                    ctx.beginPath();
+                    ctx.arc(particle.x, particle.y, particle.radius, 0, Math.PI * 2);
+                    ctx.fillStyle = particle.color;
+                    ctx.fill();
+                });
+                
+                // Connect nearby particles with lines
+                for (let i = 0; i < particles.length; i++) {
+                    for (let j = i + 1; j < particles.length; j++) {
+                        const dx = particles[i].x - particles[j].x;
+                        const dy = particles[i].y - particles[j].y;
+                        const distance = Math.sqrt(dx * dx + dy * dy);
+                        
+                        if (distance < 100) {
+                            ctx.beginPath();
+                            ctx.moveTo(particles[i].x, particles[i].y);
+                            ctx.lineTo(particles[j].x, particles[j].y);
+                            ctx.strokeStyle = `rgba(100, 150, 255, ${0.1 * (1 - distance / 100)})`;
+                            ctx.lineWidth = 1;
+                            ctx.stroke();
                         }
-
-                        fetch('/network/add', {
-                            method: 'POST',
-                            headers: {
-                                'Content-Type': 'application/json'
-                            },
-                            body: JSON.stringify(this.newNetwork)
-                        })
-                            .then(response => {
-                                if (!response.ok) {
-                                    return response.json().then(err => { throw err; });
-                                }
-                                return response.json();
-                            })
-                            .then(data => {
-                                console.log('Network added successfully:', data);
-                                this.successMessage = 'Network added successfully!';
-                                this.fetchNetworks(); // Refresh the networks list
-                                this.newNetwork = { name: '', description: '', token: '' }; // Clear form
-                            })
-                            .catch(error => {
-                                console.error('Error adding network:', error);
-                                this.errorMessage = 'Failed to add network. Please try again.'
-                                if (error.error) {
-                                    this.errorMessage += " Error : " + error.error;
-                                }
-                            });
-                    },
-                    copyToken(token) {
-                        navigator.clipboard.writeText(token)
-                        .then(() => {
-                            console.log('Text copied to clipboard:', token);
-                            alert('Text copied to clipboard!');
-                        })
-                        .catch(err => {
-                            console.error('Failed to copy token:', err);
-                        });
-                    },
-                    init() {
-                        console.log('Initializing Alpine component...');
-                        this.fetchNetworks();
-                        setInterval(() => {
-                            this.fetchNetworks();
-                        }, 5000); // Refresh every 5 seconds
                     }
                 }
             }
-        </script>
-        <script src="static/p2panimation.js"></script>
-
-        {{template "views/partials/footer" .}}
-    </div>
+            
+            // Start animation
+            animate();
+            
+            // Resize handling
+            window.addEventListener('resize', () => {
+                canvas.width = animContainer.offsetWidth;
+                canvas.height = animContainer.offsetHeight;
+            });
+        }
+    });
+</script>
 
 </body>
-
-</html>
+</html>

core/http/views/login.html

@@ -1,25 +1,216 @@
 <!DOCTYPE html>
 <html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Open Authenticated Website</title>
-    <base href="{{.BaseURL}}" />
-    <link rel="icon" type="image/x-icon" href="favicon.ico" />
-</head>
-<body>
-    <h1>Authorization is required</h1>
-    <input type="text" id="token" placeholder="Token" />
-    <button onclick="login()">Login</button>
-    <script>
-        function login() {
-            const token = document.getElementById('token').value;
-            var date = new Date();
-            date.setTime(date.getTime() + (24*60*60*1000));
-            document.cookie = `token=${token}; expires=${date.toGMTString()}`;
+{{template "views/partials/head" .}}
 
-            window.location.reload();
+<body class="bg-gradient-to-br from-gray-900 to-gray-950 text-gray-200">
+<div class="flex flex-col min-h-screen">
+
+    {{template "views/partials/navbar" .}}
+
+    <div class="container mx-auto px-4 py-8 flex-grow flex items-center justify-center">
+        <!-- Auth Card -->
+        <div class="max-w-md w-full bg-gray-800/90 border border-gray-700/50 rounded-xl overflow-hidden shadow-xl">
+            <div class="animation-container">
+                <div class="text-overlay">
+                    <img src="static/logo.png" alt="LocalAI Logo" class="h-32">
+                </div>
+            </div>
+            
+            <div class="p-8">
+                <div class="text-center mb-6">
+                    <h2 class="text-2xl font-bold text-white">
+                        <span class="bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">
+                            Authorization Required
+                        </span>
+                    </h2>
+                    <p class="text-gray-400 mt-2">Please enter your access token to continue</p>
+                </div>
+                
+                <form id="login-form" class="space-y-6" onsubmit="login(); return false;">
+                    <div>
+                        <label for="token" class="block text-sm font-medium text-gray-300 mb-2">Access Token</label>
+                        <div class="relative">
+                            <div class="absolute inset-y-0 left-0 pl-3 flex items-center pointer-events-none">
+                                <i class="fas fa-key text-gray-500"></i>
+                            </div>
+                            <input 
+                                type="password" 
+                                id="token" 
+                                name="token" 
+                                placeholder="Enter your token" 
+                                class="bg-gray-700/50 border border-gray-600 text-white placeholder-gray-400 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full pl-10 p-2.5"
+                                required
+                            />
+                        </div>
+                    </div>
+                    
+                    <div>
+                        <button 
+                            type="submit" 
+                            class="group w-full flex items-center justify-center bg-gradient-to-r from-blue-600 to-indigo-600 hover:from-blue-700 hover:to-indigo-700 text-white py-3 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-[1.02] hover:shadow-lg font-medium"
+                        >
+                            <i class="fas fa-sign-in-alt mr-2"></i>
+                            <span>Login</span>
+                            <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+                        </button>
+                    </div>
+                </form>
+                
+                <div class="mt-8 pt-6 border-t border-gray-700/50 text-center text-sm text-gray-400">
+                    <div class="flex items-center justify-center mb-2">
+                        <i class="fas fa-shield-alt mr-2 text-blue-400"></i>
+                        <span>Instance is token protected</span>
+                    </div>
+                    <p>Current time (UTC): <span id="current-time">{{.CurrentDate}}</span></p>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    {{template "views/partials/footer" .}}
+</div>
+
+<script>
+    function login() {
+        const token = document.getElementById('token').value;
+        if (!token.trim()) {
+            // Show error with fading effect
+            const form = document.getElementById('login-form');
+            const errorMsg = document.createElement('div');
+            errorMsg.className = 'p-3 mt-4 bg-red-900/50 text-red-200 rounded-lg border border-red-700/50 text-sm flex items-center';
+            errorMsg.innerHTML = '<i class="fas fa-exclamation-circle mr-2"></i> Please enter a valid token';
+            
+            // Remove any existing error message
+            const existingError = form.querySelector('.bg-red-900/50');
+            if (existingError) form.removeChild(existingError);
+            
+            // Add new error message with animation
+            form.appendChild(errorMsg);
+            setTimeout(() => {
+                errorMsg.style.opacity = '0';
+                errorMsg.style.transition = 'opacity 0.5s ease';
+                setTimeout(() => errorMsg.remove(), 500);
+            }, 3000);
+            return;
         }
-    </script>
+        
+        var date = new Date();
+        date.setTime(date.getTime() + (24*60*60*1000));
+        document.cookie = `token=${token}; expires=${date.toGMTString()}; path=/`;
+
+        // Show loading state
+        const button = document.querySelector('button[type="submit"]');
+        const originalContent = button.innerHTML;
+        button.disabled = true;
+        button.innerHTML = '<i class="fas fa-spinner fa-spin mr-2"></i> Authenticating...';
+        button.classList.add('bg-gray-600');
+        
+        // Reload after short delay to show loading state
+        setTimeout(() => {
+            window.location.reload();
+        }, 800);
+    }
+    
+    // Update current time
+    function updateCurrentTime() {
+        const timeElement = document.getElementById('current-time');
+        if (timeElement) {
+            const now = new Date();
+            const year = now.getUTCFullYear();
+            const month = String(now.getUTCMonth() + 1).padStart(2, '0');
+            const day = String(now.getUTCDate()).padStart(2, '0');
+            const hours = String(now.getUTCHours()).padStart(2, '0');
+            const minutes = String(now.getUTCMinutes()).padStart(2, '0');
+            const seconds = String(now.getUTCSeconds()).padStart(2, '0');
+            timeElement.textContent = `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`;
+        }
+    }
+    
+    // Initialize current time and update it every second
+    updateCurrentTime();
+    setInterval(updateCurrentTime, 1000);
+    
+    // Add subtle particle animation to the background
+    document.addEventListener('DOMContentLoaded', function() {
+        const animContainer = document.querySelector('.animation-container');
+        if (animContainer) {
+            const canvas = document.createElement('canvas');
+            animContainer.appendChild(canvas);
+            
+            const ctx = canvas.getContext('2d');
+            canvas.width = animContainer.offsetWidth;
+            canvas.height = animContainer.offsetHeight;
+            
+            // Create particles
+            const particles = [];
+            const particleCount = 30;
+            
+            for (let i = 0; i < particleCount; i++) {
+                particles.push({
+                    x: Math.random() * canvas.width,
+                    y: Math.random() * canvas.height,
+                    radius: Math.random() * 3 + 1,
+                    color: `rgba(${Math.random() * 50 + 50}, ${Math.random() * 100 + 100}, ${Math.random() * 155 + 100}, ${Math.random() * 0.4 + 0.1})`,
+                    speedX: Math.random() * 0.5 - 0.25,
+                    speedY: Math.random() * 0.5 - 0.25
+                });
+            }
+            
+            // Animation loop
+            function animate() {
+                requestAnimationFrame(animate);
+                ctx.clearRect(0, 0, canvas.width, canvas.height);
+                
+                particles.forEach(particle => {
+                    particle.x += particle.speedX;
+                    particle.y += particle.speedY;
+                    
+                    // Bounce off edges
+                    if (particle.x < 0 || particle.x > canvas.width) {
+                        particle.speedX = -particle.speedX;
+                    }
+                    
+                    if (particle.y < 0 || particle.y > canvas.height) {
+                        particle.speedY = -particle.speedY;
+                    }
+                    
+                    // Draw particle
+                    ctx.beginPath();
+                    ctx.arc(particle.x, particle.y, particle.radius, 0, Math.PI * 2);
+                    ctx.fillStyle = particle.color;
+                    ctx.fill();
+                });
+                
+                // Connect nearby particles with lines
+                for (let i = 0; i < particles.length; i++) {
+                    for (let j = i + 1; j < particles.length; j++) {
+                        const dx = particles[i].x - particles[j].x;
+                        const dy = particles[i].y - particles[j].y;
+                        const distance = Math.sqrt(dx * dx + dy * dy);
+                        
+                        if (distance < 100) {
+                            ctx.beginPath();
+                            ctx.moveTo(particles[i].x, particles[i].y);
+                            ctx.lineTo(particles[j].x, particles[j].y);
+                            ctx.strokeStyle = `rgba(100, 150, 255, ${0.1 * (1 - distance / 100)})`;
+                            ctx.lineWidth = 1;
+                            ctx.stroke();
+                        }
+                    }
+                }
+            }
+            
+            // Start animation
+            animate();
+            
+            // Resize handling
+            window.addEventListener('resize', () => {
+                canvas.width = animContainer.offsetWidth;
+                canvas.height = animContainer.offsetHeight;
+            });
+        }
+    });
+</script>
+
 </body>
-</html>
+</html>

core/http/views/models.html

@@ -27,6 +27,8 @@
             </div>
         </div>
         
+        {{template "views/partials/inprogress" .}}
+
         <!-- Search and Filter Section -->
         <div class="bg-gray-800/70 rounded-xl p-6 mb-8 shadow-lg border border-gray-700/50">
             <!-- Search Input -->

core/http/views/p2p.html

@@ -1,172 +1,245 @@
 <!DOCTYPE html>
 <html lang="en">
 {{template "views/partials/head" .}}
-<body class="bg-gray-900 text-gray-200">
+
+<body class="bg-gradient-to-br from-gray-900 to-gray-950 text-gray-200">
 <div class="flex flex-col min-h-screen" x-data="{}">
 
     {{template "views/partials/navbar" .}}
-    <div class="container mx-auto px-4 flex-grow">
-        <div class="workers mt-12 text-center">
-            <div class="animation-container">
+    
+    <div class="container mx-auto px-4 py-8 flex-grow">
+        <div class="workers mt-8">
+            <!-- Hero Section with Network Animation -->
+            <div class="animation-container mb-8">
                 <canvas id="networkCanvas"></canvas>
                 <div class="text-overlay">
-                    <header class="text-center py-12">
-                        <h1 class="text-5xl font-bold text-gray-100">
-                            <i class="fa-solid fa-circle-nodes mr-2"></i> Distributed inference with P2P 
-                        </h1>
-                        <p class="mt-4 text-lg">
-                            Distribute computation by sharing and loadbalancing instances or  sharding model weights.
-                            <a href="https://localai.io/features/distribute/" target="_blank">
-                                <i class="fas fa-circle-info pr-2"></i>
-                            </a>
-                        </p>
-            
-                    </header>
+                    <h1 class="text-4xl md:text-5xl font-bold text-white mb-4">
+                        <span class="bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">
+                            <i class="fa-solid fa-circle-nodes mr-2"></i> Distributed inference with P2P
+                        </span>
+                    </h1>
+                    <p class="text-xl text-gray-300">
+                        Distribute computation by sharing and loadbalancing instances or sharding model weights
+                        <a href="https://localai.io/features/distribute/" target="_blank" class="text-blue-400 hover:text-blue-300 transition-colors">
+                            <i class="fas fa-circle-info ml-2"></i>
+                        </a>
+                    </p>
                 </div>
-            </div>      
-            <h5 class="mb-4 text-justify">LocalAI uses P2P technologies to enable distribution of work between peers. It is possible to share an instance with Federation and/or split the weights of a model across peers (only available with llama.cpp models). You can now share computational resources between your devices or your friends!</h5>
-
-            <div class="bg-gray-800 p-6 rounded-lg shadow-lg mb-12 text-left">
-                <p class="text-lg font-bold mb-4 mt-1">
-                    Network token
-                    <i class="fa-solid fa-copy copy-icon float-right"></i>
+            </div>
+            
+            <div class="bg-gradient-to-r from-blue-900/30 to-indigo-900/30 rounded-2xl shadow-xl p-6 mb-10">
+                <p class="text-lg mb-4 text-gray-300">
+                    LocalAI uses P2P technologies to enable distribution of work between peers. It is possible to share an instance with Federation and/or split the weights of a model across peers (only available with llama.cpp models). You can now share computational resources between your devices or your friends!
+                </p>
+            </div>
+
+            <!-- Network Token Card -->
+            <div class="bg-gradient-to-r from-gray-800/90 to-gray-800/80 border border-gray-700/50 rounded-xl overflow-hidden shadow-xl mb-10 p-6 transition-all duration-300 hover:shadow-lg hover:shadow-blue-900/20 hover:border-blue-700/50">
+                <div class="flex items-center mb-4">
+                    <i class="fas fa-key text-yellow-400 text-xl mr-3"></i>
+                    <h3 class="text-xl font-bold text-white">Network Token</h3>
+                    <button onclick="copyClipboard('{{.P2PToken}}')" class="ml-auto bg-gray-700 hover:bg-gray-600 text-gray-300 p-2 rounded-lg transition-colors duration-200">
+                        <i class="fa-solid fa-copy"></i>
+                    </button>
+                </div>
+                <code class="block bg-gray-900/80 text-yellow-300 p-4 rounded-lg break-words mb-4 border border-gray-700/50" @click="copyClipboard($el.textContent)">{{.P2PToken}}</code>
+                <p class="text-gray-300">
+                    The network token can be used to either share the instance or join a federation or a worker network. Below you will find examples on how to start a new instance or a worker with this token.
                 </p>
-                <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words" @click="copyClipboard($el.textContent)">{{.P2PToken}}</code><br>
-                The network token can be used to either share the instance or join a federation or a worker network. Below you will find a few examples on how to start a new instance or a worker with the token and you will be able to see the available workers and federated nodes.
             </div>
         
             <!-- Warning box if p2p token is empty and p2p is enabled -->
             {{ if and .IsP2PEnabled (eq .P2PToken "") }}
-            <div class="bg-red-500 p-4 rounded-lg shadow-lg mb-12 text-left">
-                <p class="text-xl font-semibold text-white"> <i class="fa-solid fa-exclamation-triangle"></i> Warning: P2P mode is disabled or no token was specified</p>
-                <p class="mb-4">You have to enable P2P mode by starting LocalAI with <code>--p2p</code>. Please restart the server with <code>--p2p</code> to generate a new token automatically that can be used to automatically discover other nodes. If you already have a token specify it with <code>export TOKEN=".."</code> <a href="https://localai.io/features/distribute/" target="_blank">
-                    Check out the documentation for more information.
-                </a> </p>
+            <div class="bg-gradient-to-r from-red-800/70 to-red-700/70 border border-red-600/50 p-6 rounded-xl shadow-lg mb-10 text-left">
+                <div class="flex items-center mb-2">
+                    <i class="fa-solid fa-exclamation-triangle text-red-300 text-2xl mr-3"></i>
+                    <h3 class="text-xl font-bold text-white">Warning: P2P mode is disabled or no token was specified</h3>
+                </div>
+                <p class="mb-4 text-red-200">
+                    You have to enable P2P mode by starting LocalAI with <code class="bg-red-900/50 px-2 py-0.5 rounded">--p2p</code>. Please restart the server with <code class="bg-red-900/50 px-2 py-0.5 rounded">--p2p</code> to generate a new token automatically that can be used to discover other nodes. If you already have a token, specify it with <code class="bg-red-900/50 px-2 py-0.5 rounded">export TOKEN=".."</code>
+                    <a href="https://localai.io/features/distribute/" target="_blank" class="text-red-300 hover:text-red-200 underline underline-offset-2">
+                       Check out the documentation for more information.
+                    </a>
+                </p>
             </div>
             {{ else }}
 
             <!-- Federation Box -->
-            <div class="bg-gray-800 p-6 rounded-lg shadow-lg mb-12 text-left">
+            <div class="bg-gradient-to-r from-gray-800/90 to-gray-800/80 border border-gray-700/50 rounded-xl overflow-hidden shadow-xl mb-10 transition-all duration-300 hover:shadow-lg hover:shadow-blue-900/20">
+                <div class="p-6 border-b border-gray-700/50">
+                    <div class="flex items-center mb-3">
+                        <i class="text-blue-400 fa-solid fa-circle-nodes text-2xl mr-3 fa-spin-pulse"></i>
+                        <h2 class="text-2xl font-bold text-white">Federated Nodes: 
+                            <span class="text-blue-400" hx-get="p2p/ui/workers-federation-stats" hx-trigger="every 1s"></span>
+                        </h2>
+                    </div>
+                    <p class="text-gray-300 mb-4">
+                        You can start LocalAI in federated mode to share your instance, or start the federated server to balance requests between nodes of the federation.
+                    </p>
 
-                <p class="text-xl font-semibold text-gray-200"> <i class="text-gray-200 fa-solid fa-circle-nodes"></i> Federated Nodes: <span hx-get="p2p/ui/workers-federation-stats" hx-trigger="every 1s"></span> </p>
-                <p class="mb-4">You can start LocalAI in federated mode to share your instance, or start the federated server to balance requests between nodes of the federation.</p>
-
-                <div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-4 mb-12">
-                    <div hx-get="p2p/ui/workers-federation" hx-trigger="every 1s"></div>
+                    <div class="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 gap-4 mb-8">
+                        <div hx-get="p2p/ui/workers-federation" hx-trigger="every 1s"></div>
+                    </div>
                 </div>
 
-                <hr class="border-gray-700 mb-12">
+                <div class="p-6">
+                    <h3 class="text-2xl font-bold text-white mb-6">
+                        <i class="fa-solid fa-book text-blue-400 mr-2"></i> Start a federated instance
+                    </h3>
 
-                <h3 class="text-2xl font-semibold text-gray-100 mb-6"><i class="fa-solid fa-book"></i> Start a federated instance</h3>
+                    <!-- Tabs navigation -->
+                    <ul class="mb-5 flex list-none flex-row flex-wrap ps-0 border border-gray-700/50 rounded-lg overflow-hidden" role="tablist" data-twe-nav-ref>
+                        <li role="presentation" class="flex-auto text-center">
+                            <a href="#tabs-federated-cli" class="tablink block border-0 bg-gray-800 px-7 py-4 text-sm font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-blue-500 data-[twe-nav-active]:text-blue-400 data-[twe-nav-active]:bg-gray-700 active transition-all duration-200" data-twe-toggle="pill" data-twe-target="#tabs-federated-cli" data-twe-nav-active role="tab" aria-controls="tabs-federated-cli" aria-selected="true">
+                                <i class="fa-solid fa-terminal mr-2"></i> CLI
+                            </a>
+                        </li>
+                        <li role="presentation" class="flex-auto text-center">
+                            <a href="#tabs-federated-docker" class="tablink block border-0 bg-gray-800 px-7 py-4 text-sm font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-blue-500 data-[twe-nav-active]:text-blue-400 data-[twe-nav-active]:bg-gray-700 transition-all duration-200" data-twe-toggle="pill" data-twe-target="#tabs-federated-docker" role="tab" aria-controls="tabs-federated-docker" aria-selected="false">
+                                <i class="fa-solid fa-box-open mr-2"></i> Container images
+                            </a>
+                        </li>
+                    </ul>
 
-                <!-- Tabs navigation -->
-                <ul class="mb-5 flex list-none flex-row flex-wrap ps-0" role="tablist" data-twe-nav-ref>
-                    <li role="presentation" class="flex-auto text-center">
-                        <a href="#tabs-federated-cli" class="tablink my-2 block border-0 bg-gray-800 px-7 pb-3.5 pt-4 text-xs font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-yellow-500 data-[twe-nav-active]:text-yellow-500 data-[twe-nav-active]:bg-gray-700 active" data-twe-toggle="pill" data-twe-target="#tabs-federated-cli" data-twe-nav-active role="tab" aria-controls="tabs-federated-cli" aria-selected="true"><i class="fa-solid fa-terminal"></i> CLI</a>
-                    </li>
-                    <li role="presentation" class="flex-auto text-center">
-                        <a href="#tabs-federated-docker" class="tablink my-2 block border-0 bg-gray-800 px-7 pb-3.5 pt-4 text-xs font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-yellow-500 data-[twe-nav-active]:text-yellow-500 data-[twe-nav-active]:bg-gray-700" data-twe-toggle="pill" data-twe-target="#tabs-federated-docker" role="tab" aria-controls="tabs-federated-docker" aria-selected="false"><i class="fa-solid fa-box-open"></i> Container images</a>
-                    </li>
-                </ul>
+                    <!-- Tabs content -->
+                    <div class="mb-6">                    
+                        <div class="tabcontent hidden opacity-100 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-federated-cli" role="tabpanel" aria-labelledby="tabs-federated-cli" data-twe-tab-active>
+                            <div class="bg-gray-900/50 rounded-xl border border-gray-700/50 p-6">
+                                <div class="flex items-center justify-between mb-4">
+                                    <h4 class="text-lg font-bold text-white">
+                                        Start a new instance to share:
+                                    </h4>
+                                    <button onclick="copyClipboard('export TOKEN=\'{{.P2PToken}}\'\nlocal-ai run --federated --p2p')" class="bg-gray-700 hover:bg-gray-600 text-gray-300 p-2 rounded-lg transition-colors duration-200">
+                                        <i class="fa-solid fa-copy"></i>
+                                    </button>
+                                </div>
+                                <code class="block bg-gray-800 text-yellow-300 p-4 rounded-lg break-words mb-4 border border-gray-700/50">
+# Start a new instance to share with --federated and a TOKEN<br>
+export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
+local-ai run --federated --p2p</code>
 
-                <!-- Tabs content -->
-                <div class="mb-6">                    
-                    <div class="tabcontent hidden opacity-100 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-federated-cli" role="tabpanel" aria-labelledby="tabs-federated-cli" data-twe-tab-active>
+                                <p class="text-gray-400 text-sm mt-2">Note: If you don't have a token do not specify it and use the generated one that you can find in this page.</p>
+                                
+                                <div class="flex items-center justify-between mb-4 mt-8">
+                                    <h4 class="text-lg font-bold text-white">
+                                        Start a new federated load balancer:
+                                    </h4>
+                                    <button onclick="copyClipboard('export TOKEN=\'{{.P2PToken}}\'\nlocal-ai federated')" class="bg-gray-700 hover:bg-gray-600 text-gray-300 p-2 rounded-lg transition-colors duration-200">
+                                        <i class="fa-solid fa-copy"></i>
+                                    </button>
+                                </div>
+                                <code class="block bg-gray-800 text-yellow-300 p-4 rounded-lg break-words mb-4 border border-gray-700/50">
+export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
+local-ai federated</code>
 
-                        <p class="text-lg font-bold mb-4 mt-1">
-                            To start a new instance to share:
-                            <i class="fa-solid fa-copy copy-icon float-right"></i>
-                        </p>
-                        <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words" @click="copyClipboard($el.textContent)">
-                            # Start a new instance to share with --federated and a TOKEN<br>
-                            export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
-                            local-ai run --federated --p2p
-                        </code>
+                                <p class="text-gray-400 text-sm mt-2">Note: Token is needed when starting the federated server.</p>
 
-                        <p class="mt-2">Note: If you don't have a token do not specify it and use the generated one that you can find in this page.</p>
-                        <p class="text-lg font-bold mb-4 mt-1">
-                            To start a new federated load balancer:
-                            <i class="fa-solid fa-copy copy-icon float-right"></i>
-                        </p>
-                        <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words" @click="copyClipboard($el.textContent)">
-                            export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
-                            local-ai federated
-                        </code>
+                                <p class="text-gray-300 mt-4">For all the options available, please refer to the <a href="https://localai.io/features/distribute/#starting-workers" target="_blank" class="text-blue-400 hover:text-blue-300 transition-colors">documentation</a>.</p>
+                            </div>
+                        </div>
+                        <div class="tabcontent hidden opacity-0 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-federated-docker" role="tabpanel" aria-labelledby="tabs-federated-docker">
+                            <div class="bg-gray-900/50 rounded-xl border border-gray-700/50 p-6">
+                                <div class="flex items-center justify-between mb-4">
+                                    <h4 class="text-lg font-bold text-white">
+                                        Start a new federated instance:
+                                    </h4>
+                                    <button onclick="copyClipboard('docker run -ti --net host -e TOKEN=\'{{.P2PToken}}\' --name local-ai -p 8080:8080 localai/localai:latest-cpu run --federated --p2p')" class="bg-gray-700 hover:bg-gray-600 text-gray-300 p-2 rounded-lg transition-colors duration-200">
+                                        <i class="fa-solid fa-copy"></i>
+                                    </button>
+                                </div>
+                                <code class="block bg-gray-800 text-yellow-300 p-4 rounded-lg break-words mb-4 border border-gray-700/50">
+docker run -ti --net host -e TOKEN="<span class="token">{{.P2PToken}}</span>" --name local-ai -p 8080:8080 localai/localai:latest-cpu run --federated --p2p</code>
 
-                        <p class="mt-2">Note: Token is needed when starting the federated server.</p>
+                                <div class="flex items-center justify-between mb-4 mt-8">
+                                    <h4 class="text-lg font-bold text-white">
+                                        Start a new federated server with Docker (port to 9090):
+                                    </h4>
+                                    <button onclick="copyClipboard('docker run -ti --net host -e TOKEN=\'{{.P2PToken}}\' --name local-ai -p 9090:8080 localai/localai:latest-cpu federated')" class="bg-gray-700 hover:bg-gray-600 text-gray-300 p-2 rounded-lg transition-colors duration-200">
+                                        <i class="fa-solid fa-copy"></i>
+                                    </button>
+                                </div>
+                                <code class="block bg-gray-800 text-yellow-300 p-4 rounded-lg break-words mb-4 border border-gray-700/50">
+docker run -ti --net host -e TOKEN="<span class="token">{{.P2PToken}}</span>" --name local-ai -p 9090:8080 localai/localai:latest-cpu federated</code>
 
-                        <p class="mt-2">For all the options available, please refer to the <a href="https://localai.io/features/distribute/#starting-workers" target="_blank" class="text-yellow-300 hover:text-yellow-400">documentation</a>.</p>
-                    </div>
-                    <div class="tabcontent hidden opacity-0 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-federated-docker" role="tabpanel" aria-labelledby="tabs-federated-docker">
-                        <p class="text-lg font-bold mb-4 mt-1">
-                            To start a new federated instance:
-                            <i class="fa-solid fa-copy copy-icon float-right"></i>
-                        </p>
-                        <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words" @click="copyClipboard($el.textContent)">
-                            docker run -ti --net host -e TOKEN="<span class="token">{{.P2PToken}}</span>" --name local-ai -p 8080:8080 localai/localai:latest-cpu run --federated --p2p
-                        </code>
-
-                        <p class="text-lg font-bold mb-4 mt-1">
-                            To start a new federated server with Docker (port to 9090):
-                            <i class="fa-solid fa-copy copy-icon float-right"></i>
-                        </p>
-                        <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words" @click="copyClipboard($el.textContent)">
-                            docker run -ti --net host -e TOKEN="<span class="token">{{.P2PToken}}</span>" --name local-ai -p 9090:8080 localai/localai:latest-cpu federated
-                        </code>
-
-                        <p class="mt-2">For all the options available and see what image to use, please refer to the <a href="https://localai.io/basics/container/" target="_blank" class="text-yellow-300 hover:text-yellow-400">Container images documentation</a> and <a href="https://localai.io/advanced/#cli-parameters" target="_blank" class="text-yellow-300 hover:text-yellow-400">CLI parameters documentation</a>.</p>
+                                <p class="text-gray-300 mt-4">For all the options available and see what image to use, please refer to the <a href="https://localai.io/basics/container/" target="_blank" class="text-blue-400 hover:text-blue-300 transition-colors">Container images documentation</a> and <a href="https://localai.io/advanced/#cli-parameters" target="_blank" class="text-blue-400 hover:text-blue-300 transition-colors">CLI parameters documentation</a>.</p>
+                            </div>
+                        </div>
                     </div>
                 </div>
             </div>
 
             <!-- Llama.cpp Box -->
-
-            <div class="bg-gray-800 p-6 rounded-lg shadow-lg mb-12 text-left">
-
-                <p class="text-xl font-semibold text-gray-200"> <i class="text-gray-200 fa-solid fa-circle-nodes"></i> Workers (llama.cpp): <span hx-get="p2p/ui/workers-stats" hx-trigger="every 1s"></span> </p>
-                <p class="mb-4">You can start llama.cpp workers to distribute weights between the workers and offload part of the computation. To start a new worker, you can use the CLI or Docker.</p>
-
-                <div class="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 gap-4 mb-12">
-                    <div hx-get="p2p/ui/workers" hx-trigger="every 1s"></div>
-                </div>
-                <hr class="border-gray-700 mb-12">
-
-                <h3 class="text-2xl font-semibold text-gray-100 mb-6"><i class="fa-solid fa-book"></i> Start a new llama.cpp P2P worker</h3>
-                
-                <!-- Tabs navigation -->
-                <ul class="mb-5 flex list-none flex-row flex-wrap ps-0" role="tablist" data-twe-nav-ref>
-                    <li role="presentation" class="flex-auto text-center">
-                        <a href="#tabs-cli" class="tablink my-2 block border-0 bg-gray-800 px-7 pb-3.5 pt-4 text-xs font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-yellow-500 data-[twe-nav-active]:text-yellow-500 data-[twe-nav-active]:bg-gray-700 active" data-twe-toggle="pill" data-twe-target="#tabs-cli" data-twe-nav-active role="tab" aria-controls="tabs-cli" aria-selected="true"><i class="fa-solid fa-terminal"></i> CLI</a>
-                    </li>
-                    <li role="presentation" class="flex-auto text-center">
-                        <a href="#tabs-docker" class="tablink my-2 block border-0 bg-gray-800 px-7 pb-3.5 pt-4 text-xs font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-yellow-500 data-[twe-nav-active]:text-yellow-500 data-[twe-nav-active]:bg-gray-700" data-twe-toggle="pill" data-twe-target="#tabs-docker" role="tab" aria-controls="tabs-docker" aria-selected="false"><i class="fa-solid fa-box-open"></i> Container images</a>
-                    </li>
-                </ul>
-
-                <!-- Tabs content -->
-                <div class="mb-6">
-                    <div class="tabcontent hidden opacity-100 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-cli" role="tabpanel" aria-labelledby="tabs-cli" data-twe-tab-active>
-                        <p class="text-lg font-bold mb-4 mt-1">
-                            To start a new worker, run the following command:
-                            <i class="fa-solid fa-copy copy-icon float-right"></i>
-                        </p>
-                        <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words" @click="copyClipboard($el.textContent)">
-                            export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
-                            local-ai worker p2p-llama-cpp-rpc
-                        </code>
-
-                        <p class="mt-2">For all the options available, please refer to the <a href="https://localai.io/features/distribute/#starting-workers" target="_blank" class="text-yellow-300 hover:text-yellow-400">documentation</a>.</p>
+            <div class="bg-gradient-to-r from-gray-800/90 to-gray-800/80 border border-gray-700/50 rounded-xl overflow-hidden shadow-xl mb-10 transition-all duration-300 hover:shadow-lg hover:shadow-blue-900/20">
+                <div class="p-6 border-b border-gray-700/50">
+                    <div class="flex items-center mb-3">
+                        <i class="text-indigo-400 fa-solid fa-circle-nodes text-2xl mr-3 fa-spin-pulse"></i>
+                        <h2 class="text-2xl font-bold text-white">Workers (llama.cpp): 
+                            <span class="text-indigo-400" hx-get="p2p/ui/workers-stats" hx-trigger="every 1s"></span>
+                        </h2>
                     </div>
-                    <div class="tabcontent hidden opacity-0 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-docker" role="tabpanel" aria-labelledby="tabs-docker">
-                        <p class="text-lg font-bold mb-4 mt-1">
-                            To start a new worker with docker, run the following command:
-                            <i class="fa-solid fa-copy copy-icon float-right"></i>
-                        </p>
-                        <code class="block bg-gray-700 text-yellow-300 p-4 rounded-lg break-words"  @click="copyClipboard($el.textContent)">
-                            docker run -ti --net host -e TOKEN="<span class="token">{{.P2PToken}}</span>" --name local-ai -p 8080:8080 localai/localai:latest-cpu worker p2p-llama-cpp-rpc
-                        </code>
+                    <p class="text-gray-300 mb-4">
+                        You can start llama.cpp workers to distribute weights between the workers and offload part of the computation. To start a new worker, you can use the CLI or Docker.
+                    </p>
 
-                        <p class="mt-2">For all the options available and see what image to use, please refer to the <a href="https://localai.io/basics/container/" target="_blank" class="text-yellow-300 hover:text-yellow-400">Container images documentation</a> and <a href="https://localai.io/advanced/#cli-parameters" target="_blank" class="text-yellow-300 hover:text-yellow-400">CLI parameters documentation</a>.</p>
+                    <div class="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 gap-4 mb-8">
+                        <div hx-get="p2p/ui/workers" hx-trigger="every 1s"></div>
+                    </div>
+                </div>
+
+                <div class="p-6">
+                    <h3 class="text-2xl font-bold text-white mb-6">
+                        <i class="fa-solid fa-book text-indigo-400 mr-2"></i> Start a new llama.cpp P2P worker
+                    </h3>
+                    
+                    <!-- Tabs navigation -->
+                    <ul class="mb-5 flex list-none flex-row flex-wrap ps-0 border border-gray-700/50 rounded-lg overflow-hidden" role="tablist" data-twe-nav-ref>
+                        <li role="presentation" class="flex-auto text-center">
+                            <a href="#tabs-cli" class="tablink block border-0 bg-gray-800 px-7 py-4 text-sm font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-indigo-500 data-[twe-nav-active]:text-indigo-400 data-[twe-nav-active]:bg-gray-700 active transition-all duration-200" data-twe-toggle="pill" data-twe-target="#tabs-cli" data-twe-nav-active role="tab" aria-controls="tabs-cli" aria-selected="true">
+                                <i class="fa-solid fa-terminal mr-2"></i> CLI
+                            </a>
+                        </li>
+                        <li role="presentation" class="flex-auto text-center">
+                            <a href="#tabs-docker" class="tablink block border-0 bg-gray-800 px-7 py-4 text-sm font-medium uppercase leading-tight text-white hover:bg-gray-700 focus:bg-gray-700 data-[twe-nav-active]:border-indigo-500 data-[twe-nav-active]:text-indigo-400 data-[twe-nav-active]:bg-gray-700 transition-all duration-200" data-twe-toggle="pill" data-twe-target="#tabs-docker" role="tab" aria-controls="tabs-docker" aria-selected="false">
+                                <i class="fa-solid fa-box-open mr-2"></i> Container images
+                            </a>
+                        </li>
+                    </ul>
+
+                    <!-- Tabs content -->
+                    <div class="mb-6">
+                        <div class="tabcontent hidden opacity-100 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-cli" role="tabpanel" aria-labelledby="tabs-cli" data-twe-tab-active>
+                            <div class="bg-gray-900/50 rounded-xl border border-gray-700/50 p-6">
+                                <div class="flex items-center justify-between mb-4">
+                                    <h4 class="text-lg font-bold text-white">
+                                        Start a new worker:
+                                    </h4>
+                                    <button onclick="copyClipboard('export TOKEN=\'{{.P2PToken}}\'\nlocal-ai worker p2p-llama-cpp-rpc')" class="bg-gray-700 hover:bg-gray-600 text-gray-300 p-2 rounded-lg transition-colors duration-200">
+                                        <i class="fa-solid fa-copy"></i>
+                                    </button>
+                                </div>
+                                <code class="block bg-gray-800 text-yellow-300 p-4 rounded-lg break-words mb-4 border border-gray-700/50">
+export TOKEN="<span class="token">{{.P2PToken}}</span>"<br>
+local-ai worker p2p-llama-cpp-rpc</code>
+
+                                <p class="text-gray-300 mt-4">For all the options available, please refer to the <a href="https://localai.io/features/distribute/#starting-workers" target="_blank" class="text-indigo-400 hover:text-indigo-300 transition-colors">documentation</a>.</p>
+                            </div>
+                        </div>
+                        <div class="tabcontent hidden opacity-0 transition-opacity duration-150 ease-linear data-[twe-tab-active]:block p-4" id="tabs-docker" role="tabpanel" aria-labelledby="tabs-docker">
+                            <div class="bg-gray-900/50 rounded-xl border border-gray-700/50 p-6">
+                                <div class="flex items-center justify-between mb-4">
+                                    <h4 class="text-lg font-bold text-white">
+                                        Start a new worker with Docker:
+                                    </h4>
+                                    <button onclick="copyClipboard('docker run -ti --net host -e TOKEN=\'{{.P2PToken}}\' --name local-ai -p 8080:8080 localai/localai:latest-cpu worker p2p-llama-cpp-rpc')" class="bg-gray-700 hover:bg-gray-600 text-gray-300 p-2 rounded-lg transition-colors duration-200">
+                                        <i class="fa-solid fa-copy"></i>
+                                    </button>
+                                </div>
+                                <code class="block bg-gray-800 text-yellow-300 p-4 rounded-lg break-words mb-4 border border-gray-700/50">
+docker run -ti --net host -e TOKEN="<span class="token">{{.P2PToken}}</span>" --name local-ai -p 8080:8080 localai/localai:latest-cpu worker p2p-llama-cpp-rpc</code>
+
+                                <p class="text-gray-300 mt-4">For all the options available and see what image to use, please refer to the <a href="https://localai.io/basics/container/" target="_blank" class="text-indigo-400 hover:text-indigo-300 transition-colors">Container images documentation</a> and <a href="https://localai.io/advanced/#cli-parameters" target="_blank" class="text-indigo-400 hover:text-indigo-300 transition-colors">CLI parameters documentation</a>.</p>
+                            </div>
+                        </div>
                     </div>
                 </div>
             </div>
@@ -178,6 +251,7 @@
     {{template "views/partials/footer" .}}
 </div>
 <script src="static/p2panimation.js"></script>
+
 <style>
     .token {
         word-break: break-all;
@@ -187,7 +261,19 @@
         flex-direction: column;
         justify-content: space-between;
     }
+    .fa-circle-nodes {
+        animation: pulseGlow 2s ease-in-out infinite;
+    }
+    @keyframes pulseGlow {
+        0%, 100% { filter: drop-shadow(0 0 2px rgba(96, 165, 250, 0.3)); }
+        50% { filter: drop-shadow(0 0 8px rgba(96, 165, 250, 0.7)); }
+    }
+    .copy-icon:hover, button:hover .fa-copy {
+        color: #60a5fa;
+        transform: scale(1.1);
+        transition: all 0.2s ease;
+    }
 </style>
 
 </body>
-</html>
+</html>

core/http/views/partials/footer.html

@@ -1,5 +1,43 @@
-<footer class="text-center py-8">
-    LocalAI Version {{.Version}}<br>
-    <a href='https://github.com/mudler/LocalAI' class="text-blue-400 hover:text-blue-600" target="_blank">LocalAI</a> © 2023-2025 <a href='https://mudler.pm' class="text-blue-400 hover:text-blue-600" target="_blank">Ettore Di Giacinto</a>
-</footer>
-<script src="static/assets/tw-elements.js"></script>
+<footer class="bg-gradient-to-r from-gray-900 to-gray-950 border-t border-gray-800/50 py-8 mt-auto">
+    <div class="container mx-auto px-4">
+      <div class="flex flex-col items-center justify-center space-y-4">
+        <!-- Logo & Version -->
+        <div class="flex items-center space-x-2">
+          {{ if .Version }}
+          <span class="text-sm md:text-base font-medium text-gray-400">LocalAI Version <span class="text-blue-400">{{.Version}}</span></span>
+          {{ end }}
+        </div>
+  
+        <!-- Links -->
+        <div class="flex flex-wrap justify-center gap-x-6 gap-y-3">
+          <a href="https://github.com/mudler/LocalAI" 
+             class="group flex items-center text-gray-300 hover:text-blue-400 transition duration-300 ease-in-out"
+             target="_blank">
+            <i class="fab fa-github mr-2 text-lg"></i>
+            <span>GitHub</span>
+            <i class="fas fa-external-link-alt text-xs ml-1.5 opacity-0 group-hover:opacity-100 transition-opacity duration-300"></i>
+          </a>
+          <a href="https://localai.io" 
+             class="group flex items-center text-gray-300 hover:text-blue-400 transition duration-300 ease-in-out"
+             target="_blank">
+            <i class="fas fa-book mr-2 text-lg"></i>
+            <span>Documentation</span>
+            <i class="fas fa-external-link-alt text-xs ml-1.5 opacity-0 group-hover:opacity-100 transition-opacity duration-300"></i>
+          </a>
+          <a href="https://mudler.pm" 
+             class="group flex items-center text-gray-300 hover:text-blue-400 transition duration-300 ease-in-out"
+             target="_blank">
+            <i class="fas fa-user mr-2 text-lg"></i>
+            <span>Author</span>
+            <i class="fas fa-external-link-alt text-xs ml-1.5 opacity-0 group-hover:opacity-100 transition-opacity duration-300"></i>
+          </a>
+        </div>
+  
+        <!-- Copyright Notice -->
+        <div class="mt-4 text-sm text-gray-500">
+          <span>© 2023-2025 <a href="https://mudler.pm" class="text-blue-400 hover:text-blue-300 transition duration-300" target="_blank">Ettore Di Giacinto</a></span>
+        </div>
+      </div>
+    </div>
+    <script src="static/assets/tw-elements.js"></script>
+  </footer>

core/http/views/partials/head.html

@@ -3,7 +3,7 @@
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   <title>{{.Title}}</title>
   <base href="{{.BaseURL}}" />
-  <link rel="icon" type="image/x-icon" href="favicon.ico" />
+  <link rel="shortcut icon" href="static/favicon.svg" type="image/svg">
   <link rel="stylesheet" href="static/assets/highlightjs.css" />
   <script defer src="static/assets/highlightjs.js"></script>
   <script defer src="static/assets/alpine.js"></script>
@@ -95,6 +95,29 @@
       90% { transform: rotate(2deg); }
       100% { transform: rotate(0deg); }
     }
+
+/* Add this to your existing CSS */
+.active-node {
+  position: relative;
+  overflow: hidden;
+}
+
+.active-node::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: -100%;
+  width: 100%;
+  height: 2px;
+  background: linear-gradient(90deg, transparent, rgba(96, 165, 250, 0.8), transparent);
+  animation: nodeGlow 3s ease-in-out infinite;
+}
+
+@keyframes nodeGlow {
+  0% { left: -100%; }
+  50% { left: 100%; }
+  100% { left: 100%; }
+}
   </style>
 
   <!-- Initialize Flowbite on HTMX content load -->

core/http/views/partials/navbar.html

@@ -1,55 +1,105 @@
-<nav class="bg-gray-800 shadow-lg">
-    <div class="container mx-auto px-4 py-4">
+<nav class="bg-gradient-to-r from-gray-900 to-gray-950 shadow-lg border-b border-gray-800/50">
+    <div class="container mx-auto px-4 py-3">
         <div class="flex items-center justify-between">
             <div class="flex items-center">
-                <!-- Logo Image: Replace 'logo_url_here' with your actual logo URL -->
-                <a href="./" class="text-white text-xl font-bold"><img src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo" class="h-10 mr-3 border-2 border-gray-300 shadow rounded"></a>
-                <a href="./" class="text-white text-xl font-bold">LocalAI</a>
+                <!-- Logo Image -->
+                <a href="./" class="flex items-center group">
+                    <img src="static/logo_horizontal.png" 
+                         alt="LocalAI Logo" 
+                         class="h-14 mr-3 brightness-110 transition-all duration-300 group-hover:brightness-125">
+                </a>
             </div>
+            
             <!-- Menu button for small screens -->
             <div class="lg:hidden">
-                <button id="menu-toggle" class="text-gray-400 hover:text-white focus:outline-none">
+                <button id="menu-toggle" class="text-gray-300 hover:text-blue-400 focus:outline-none p-2 rounded-lg transition duration-300 ease-in-out hover:bg-gray-800/70">
                     <i class="fas fa-bars fa-lg"></i>
                 </button>
             </div>
+            
             <!-- Navigation links -->
-            <div class="hidden lg:flex lg:items-center lg:justify-end lg:flex-1 lg:w-0">
-                <a href="./" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-home pr-2"></i>Home</a>
-                <a href="https://localai.io" class="text-gray-400 hover:text-white px-3 py-2 rounded" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
-                <a href="browse/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-brain pr-2"></i> Models</a>
-                <a href="chat/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fa-solid fa-comments pr-2"></i> Chat</a>
-                <a href="text2image/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-image pr-2"></i> Generate images</a>
-                <a href="tts/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fa-solid fa-music pr-2"></i> TTS </a>
-                <a href="talk/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fa-solid fa-phone pr-2"></i> Talk </a>
+            <div class="hidden lg:flex lg:items-center lg:justify-end lg:space-x-1">
+                <a href="./" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fas fa-home text-blue-400 mr-2"></i>Home
+                </a>
+                <a href="browse/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fas fa-brain text-blue-400 mr-2"></i>Models
+                </a>
+                <a href="chat/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fa-solid fa-comments text-blue-400 mr-2"></i>Chat
+                </a>
+                <a href="text2image/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fas fa-image text-blue-400 mr-2"></i>Generate images
+                </a>
+                <a href="tts/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fa-solid fa-music text-blue-400 mr-2"></i>TTS
+                </a>
+                <a href="talk/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fa-solid fa-phone text-blue-400 mr-2"></i>Talk
+                </a>
                 {{ if .IsP2PEnabled }}
-                <a href="p2p/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fa-solid fa-circle-nodes"></i> Swarm </a>
+                <a href="p2p/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fa-solid fa-circle-nodes text-blue-400 mr-2"></i>Swarm
+                </a>
                 {{ end }}
-                <a href="swagger/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-code pr-2"></i> API</a>
+                <a href="swagger/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fas fa-code text-blue-400 mr-2"></i>API
+                </a>
             </div>
         </div>
+        
         <!-- Collapsible menu for small screens -->
         <div class="hidden lg:hidden" id="mobile-menu">
-            <div class="pt-4 pb-3 border-t border-gray-700">
-                <a href="./" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-home pr-2"></i>Home</a>
-                <a href="https://localai.io" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
-                <a href="browse/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-brain pr-2"></i> Models</a>
-                <a href="chat/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fa-solid fa-comments pr-2"></i> Chat</a>
-                <a href="text2image/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-image pr-2"></i> Generate images</a>
-                <a href="tts/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fa-solid fa-music pr-2"></i> TTS </a>
-                <a href="talk/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fa-solid fa-phone pr-2"></i> Talk </a>
+            <div class="pt-3 pb-2 space-y-1 border-t border-gray-800/50 mt-2">
+                <a href="./" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fas fa-home text-blue-400 mr-3 w-5 text-center"></i>Home
+                </a>
+                <a href="browse/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fas fa-brain text-blue-400 mr-3 w-5 text-center"></i>Models
+                </a>
+                <a href="chat/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fa-solid fa-comments text-blue-400 mr-3 w-5 text-center"></i>Chat
+                </a>
+                <a href="text2image/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fas fa-image text-blue-400 mr-3 w-5 text-center"></i>Generate images
+                </a>
+                <a href="tts/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fa-solid fa-music text-blue-400 mr-3 w-5 text-center"></i>TTS
+                </a>
+                <a href="talk/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fa-solid fa-phone text-blue-400 mr-3 w-5 text-center"></i>Talk
+                </a>
                 {{ if .IsP2PEnabled }}
-                <a href="p2p/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fa-solid fa-circle-nodes"></i> Swarm </a>
+                <a href="p2p/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fa-solid fa-circle-nodes text-blue-400 mr-3 w-5 text-center"></i>Swarm
+                </a>
                 {{ end }}
-                <a href="swagger/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-code pr-2"></i> API</a>
+                <a href="swagger/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fas fa-code text-blue-400 mr-3 w-5 text-center"></i>API
+                </a>
             </div>
         </div>
     </div>
 </nav>
 
 <script>
-    // JavaScript to toggle the mobile menu
+    // JavaScript to toggle the mobile menu with animation
     document.getElementById('menu-toggle').addEventListener('click', function () {
         var mobileMenu = document.getElementById('mobile-menu');
-        mobileMenu.classList.toggle('hidden');
+        if (mobileMenu.classList.contains('hidden')) {
+            mobileMenu.classList.remove('hidden');
+            // Use setTimeout to create a mild animation effect
+            setTimeout(function() {
+                mobileMenu.classList.add('opacity-100');
+                mobileMenu.classList.remove('opacity-0');
+            }, 10);
+        } else {
+            mobileMenu.classList.add('opacity-0');
+            mobileMenu.classList.remove('opacity-100');
+            // Wait for transition to finish before hiding
+            setTimeout(function() {
+                mobileMenu.classList.add('hidden');
+            }, 300);
+        }
     });
-</script>
+</script>

core/http/views/partials/navbar_explorer.html

@@ -1,39 +1,74 @@
-<nav class="bg-gray-800 shadow-lg">
-    <div class="container mx-auto px-4 py-4">
+<nav class="bg-gradient-to-r from-gray-900 to-gray-950 shadow-lg border-b border-gray-800/50">
+    <div class="container mx-auto px-4 py-3">
         <div class="flex items-center justify-between">
             <div class="flex items-center">
-                <!-- Logo Image: Replace 'logo_url_here' with your actual logo URL -->
-                <a href="./" class="text-white text-xl font-bold"><img src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo" class="h-10 mr-3 border-2 border-gray-300 shadow rounded"></a>
-                <a href="./" class="text-white text-xl font-bold">LocalAI</a>
+                <!-- Logo Image -->
+                <a href="./" class="flex items-center group">
+                    <img src="static/logo_horizontal.png" 
+                         alt="LocalAI Logo" 
+                         class="h-10 mr-3 rounded-lg border border-blue-600/30 shadow-md transition-all duration-300 group-hover:shadow-blue-500/20 group-hover:border-blue-500/50">
+                </a>
             </div>
+            
             <!-- Menu button for small screens -->
             <div class="lg:hidden">
-                <button id="menu-toggle" class="text-gray-400 hover:text-white focus:outline-none">
+                <button id="menu-toggle" class="text-gray-300 hover:text-blue-400 focus:outline-none p-2 rounded-lg transition duration-300 ease-in-out hover:bg-gray-800/70">
                     <i class="fas fa-bars fa-lg"></i>
                 </button>
             </div>
+            
             <!-- Navigation links -->
-            <div class="hidden lg:flex lg:items-center lg:justify-end lg:flex-1 lg:w-0">
-                <a href="./" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-home pr-2"></i>Home</a>
-                <a href="https://localai.io" class="text-gray-400 hover:text-white px-3 py-2 rounded" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
-                <a href="https://models.localai.io/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-brain pr-2"></i> Models</a>
+            <div class="hidden lg:flex lg:items-center lg:justify-end lg:space-x-1">
+                <a href="./" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fas fa-home text-blue-400 mr-2"></i>Home
+                </a>
+                <a href="https://localai.io" target="_blank" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center group">
+                    <i class="fas fa-book-reader text-blue-400 mr-2"></i>Documentation
+                    <i class="fas fa-external-link-alt text-xs ml-1 opacity-70 group-hover:opacity-100 transition-opacity"></i>
+                </a>
+                <a href="https://models.localai.io/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
+                    <i class="fas fa-brain text-blue-400 mr-2"></i>Models
+                </a>
             </div>
         </div>
+        
         <!-- Collapsible menu for small screens -->
         <div class="hidden lg:hidden" id="mobile-menu">
-            <div class="pt-4 pb-3 border-t border-gray-700">
-                <a href="./" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-home pr-2"></i>Home</a>
-                <a href="https://localai.io" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
-                <a href="https://models.localai.io/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-brain pr-2"></i> Models</a>
+            <div class="pt-3 pb-2 space-y-1 border-t border-gray-800/50 mt-2">
+                <a href="./" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fas fa-home text-blue-400 mr-3 w-5 text-center"></i>Home
+                </a>
+                <a href="https://localai.io" target="_blank" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fas fa-book-reader text-blue-400 mr-3 w-5 text-center"></i>Documentation
+                    <i class="fas fa-external-link-alt text-xs ml-1 opacity-70"></i>
+                </a>
+                <a href="https://models.localai.io/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
+                    <i class="fas fa-brain text-blue-400 mr-3 w-5 text-center"></i>Models
+                </a>
             </div>
         </div>
     </div>
 </nav>
 
 <script>
-    // JavaScript to toggle the mobile menu
+    // JavaScript to toggle the mobile menu with animation
     document.getElementById('menu-toggle').addEventListener('click', function () {
         var mobileMenu = document.getElementById('mobile-menu');
-        mobileMenu.classList.toggle('hidden');
+        if (mobileMenu.classList.contains('hidden')) {
+            mobileMenu.classList.remove('hidden');
+            // Use setTimeout to create a mild animation effect
+            setTimeout(function() {
+                mobileMenu.classList.add('opacity-100');
+                mobileMenu.classList.remove('opacity-0');
+            }, 10);
+        } else {
+            mobileMenu.classList.add('opacity-0');
+            mobileMenu.classList.remove('opacity-100');
+            // Wait for transition to finish before hiding
+            setTimeout(function() {
+                mobileMenu.classList.add('hidden');
+            }, 300);
+        }
     });
-</script>
+    
+</script>

core/http/views/talk.html

@@ -1,112 +1,124 @@
-<!doctype html>
+<!DOCTYPE html>
 <html lang="en">
   {{template "views/partials/head" .}}
   <script defer src="static/talk.js"></script>
-  <style>
-    body {
-        overflow: hidden; 
-    }
-  </style>
-  <body class="bg-gray-900 text-gray-200" x-data="{ key: $store.chat.key }">
+  <body class="bg-gradient-to-br from-gray-900 to-gray-950 text-gray-200" x-data="{ key: $store.chat.key }">
     <div class="flex flex-col min-h-screen">
 
-    {{template "views/partials/navbar" .}}
-    <div class="chat-container mt-2 mr-2 ml-2 mb-2 bg-gray-800 shadow-lg rounded-lg " >
-     <!-- Chat Header -->
-      <div class="border-b border-gray-700 p-4"  x-data="{ component: 'menu' }">
+      {{template "views/partials/navbar" .}}
 
-        <div class="flex items-center justify-center">
-
-          <div x-show="component === 'menu'" id="menu">
-        
-            <button @click="component = 'key'" title="Update API key"
-            class="m-2 float-right inline-block rounded bg-primary px-6 pb-2.5 mb-3 pt-2.5 text-xs font-medium uppercase leading-normal text-white shadow-primary-3 transition duration-150 ease-in-out hover:bg-primary-accent-300 hover:shadow-primary-2 focus:bg-primary-accent-300 focus:shadow-primary-2 focus:outline-none focus:ring-0 active:bg-primary-600 active:shadow-primary-2 dark:shadow-black/30 dark:hover:shadow-dark-strong dark:focus:shadow-dark-strong dark:active:shadow-dark-strong"
-            >Set API Key🔑</button>
-            
+      <div class="container mx-auto px-4 py-8 flex-grow">
+        <!-- Hero Section -->
+        <div class="bg-gradient-to-r from-blue-900/30 to-indigo-900/30 rounded-2xl shadow-xl p-8 mb-10">
+          <div class="max-w-4xl mx-auto text-center">
+            <h1 class="text-4xl md:text-5xl font-bold text-white mb-4">
+              <span class="bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">
+                <i class="fas fa-comments mr-2"></i>Talk Interface
+              </span>
+            </h1>
+            <p class="text-xl text-gray-300 mb-6">Speak with your AI models using voice interaction</p>
           </div>
+        </div>
+
+        <!-- Talk Interface -->
+        <div class="max-w-3xl mx-auto">
+          <div class="bg-gray-800/90 border border-gray-700/50 rounded-xl overflow-hidden transition-all duration-300 shadow-lg shadow-blue-900/20">
+            <!-- Talk Interface Body -->
+            <div class="p-6">
+              <!-- Recording Status -->
+              <div id="recording" class="bg-red-900/20 border border-red-700/50 rounded-lg p-4 mb-4 flex items-center space-x-3" style="display: none;">
+                <i class="fa-solid fa-microphone text-2xl text-red-400 animate-pulse"></i>
+                <span class="text-red-200 font-medium">Recording... press "Stop recording" to stop</span>
+              </div>
+              
+              <!-- Loader -->
+              <div id="loader" class="my-4 flex justify-center" style="display: none;">
+                <div class="animate-spin rounded-full h-10 w-10 border-t-2 border-b-2 border-blue-500"></div>
+              </div>
+              
+              <!-- Status Text -->
+              <div id="statustext" class="my-4 p-3 bg-gray-700/50 border border-gray-600/50 rounded-lg text-gray-200" style="min-height: 3rem;">Press the record button to start recording.</div>
+              
+              <!-- Note -->
+              <div class="bg-blue-900/20 border border-blue-700/50 rounded-lg p-4 mb-6">
+                <div class="flex items-start">
+                  <i class="fas fa-info-circle text-blue-400 mt-1 mr-3 flex-shrink-0"></i>
+                  <p class="text-gray-300">
+                    <strong class="text-blue-300">Note:</strong> You need an LLM, an audio-transcription (whisper), and a TTS model installed for this to work. Select the appropriate models below and click 'Talk' to start recording. The recording will continue until you click 'Stop recording'. Make sure your microphone is set up and enabled.
+                  </p>
+                </div>
+              </div>
+              
+              <!-- Model Selectors -->
+              <div class="grid grid-cols-1 md:grid-cols-3 gap-6 mb-6">
+                <!-- LLM Model -->
+                <div class="space-y-2">
+                  <label for="modelSelect" class="flex items-center text-gray-200 font-medium">
+                    <i class="fas fa-brain text-blue-400 mr-2"></i>LLM Model
+                  </label>
+                  <select id="modelSelect" 
+                    class="w-full bg-gray-800 text-white border border-gray-700 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-30 rounded-lg shadow-sm p-2.5 appearance-none">
+                    <option value="" disabled class="text-gray-400">Select a model</option>
+                    {{ range .ModelsConfig }}
+                    <option value="{{.}}" class="bg-gray-700 text-white">{{.}}</option>
+                    {{ end }}
+                  </select>
+                </div>
+                
+                <!-- Whisper Model -->
+                <div class="space-y-2">
+                  <label for="whisperModelSelect" class="flex items-center text-gray-200 font-medium">
+                    <i class="fas fa-ear-listen text-purple-400 mr-2"></i>Whisper Model
+                  </label>
+                  <select id="whisperModelSelect" 
+                    class="w-full bg-gray-800 text-white border border-gray-700 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-30 rounded-lg shadow-sm p-2.5 appearance-none">
+                    <option value="" disabled class="text-gray-400">Select a model</option>
+                    {{ range .ModelsConfig }}
+                    <option value="{{.}}" class="bg-gray-700 text-white">{{.}}</option>
+                    {{ end }}
+                  </select>
+                </div>
+                
+                <!-- TTS Model -->
+                <div class="space-y-2">
+                  <label for="ttsModelSelect" class="flex items-center text-gray-200 font-medium">
+                    <i class="fas fa-volume-high text-green-400 mr-2"></i>TTS Model
+                  </label>
+                  <select id="ttsModelSelect" 
+                    class="w-full bg-gray-800 text-white border border-gray-700 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-30 rounded-lg shadow-sm p-2.5 appearance-none">
+                    <option value="" disabled class="text-gray-400">Select a model</option>
+                    {{ range .ModelsConfig }}
+                    <option value="{{.}}" class="bg-gray-700 text-white">{{.}}</option>
+                    {{ end }}
+                  </select>
+                </div>
+              </div>
+              
+              <!-- Buttons -->
+              <div class="flex items-center justify-between mt-8">
+                <button id="recordButton" 
+                  class="group flex items-center bg-red-600 hover:bg-red-700 text-white py-2 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg">
+                  <i class="fas fa-microphone mr-2"></i>
+                  <span>Talk</span>
+                  <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+                </button>
+                
+                <a id="resetButton" 
+                  class="flex items-center text-blue-400 hover:text-blue-300 transition duration-200" 
+                  href="#">
+                  <i class="fas fa-rotate-right mr-2"></i>
+                  <span>Reset conversation</span>
+                </a>
+              </div>
+              
+              <!-- Audio Playback -->
+              <audio id="audioPlayback" controls hidden></audio>
+            </div>
+          </div>
+        </div>
+      </div>
       
-        <form x-show="component === 'key'" id="key">
-          <input
-            type="password"
-            id="apiKey"
-            name="apiKey"
-            class="bg-gray-800 text-white border border-gray-600 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-50 rounded-md shadow-sm p-2 appearance-none"
-            placeholder="API Key"
-            x-model.lazy="key"
-          />
-          <button @click="component = 'menu'" type="submit" title="Save API key">
-            <i class="fa-solid fa-arrow-right"></i>
-          </button>
-        </form>
-        </div>
-      </div>
-
-    <div class="flex items-center justify-center">
-    <div class="w-full p-4  max-w-md border-t border-gray-700 ">
-      <div class="bg-gray-700 shadow-md rounded px-8 pt-6 pb-8 mb-4">
-      <div id="recording" class="" style="display: none;">
-        <i class="fa-solid fa-microphone animate-pulse text-red-700"></i>
-        <span class="text-white-700 text-sm font-bold mb-2">Recording... press "Stop recording" to stop</span>
-      </div>
-      <div id="loader" class="my-2 loader" style="display: none;"></div>
-      <div id="statustext" class="my-2 p-2 block text-white-700 text-sm font-bold mb-2" ></div>
-      <!-- Note for recording box -->
-      <div class="text-sm mb-4 text-white-500">
-        <strong>Note:</strong> You need an LLM a audio-transcription(whisper) and a tts model installed in order for this to work. Select the appropariate model from the toolbox and then click the 'Talk' button to start recording. The recording will continue until you click 'Stop recording'. Make sure your microphone is set up and enabled.
-      </div>
-      <div class="mb-4" >
-        <label for="modelSelect" class="block text-white-700 text-sm font-bold mb-2">LLM Model:</label>
-        <select id="modelSelect"
-        class="bg-gray-800 text-white border border-gray-600 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-50 rounded-md shadow-sm p-2 appearance-none"
-        >
-          <option value="" disabled class="text-gray-400" >Select a model</option>
-
-          {{ range .ModelsConfig }}
-          <option value="{{.}}"  class="bg-gray-700 text-white">{{.}}</option>
-          {{ end }}
-        </select>
-      </div>
-
-      <div class="mb-4" >
-        <label for="whisperModelSelect" class="block text-white-700 text-sm font-bold mb-2">Whisper Model:</label>
-          <select id="whisperModelSelect"
-          class="bg-gray-800 text-white border border-gray-600 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-50 rounded-md shadow-sm p-2 appearance-none"
-
-          >
-            <option value="" disabled class="text-gray-400" >Select a model</option>
-
-            {{ range .ModelsConfig }}
-            <option value="{{.}}"  class="bg-gray-700 text-white">{{.}}</option>
-            {{ end }}
-          </select>
-      </div>
-  
-  
-      <div class="mb-4" >
-        <label for="ttsModelSelect" class="block text-white-700 text-sm font-bold mb-2">TTS Model:</label>
-        <select id="ttsModelSelect"
-        class="bg-gray-800 text-white border border-gray-600 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-50 rounded-md shadow-sm p-2 appearance-none"
-        >
-          <option value="" disabled class="text-gray-400" >Select a model</option>
-          {{ range .ModelsConfig }}
-          <option value="{{.}}"  class="bg-gray-700 text-white">{{.}}</option>
-          {{ end }}
-        </select>
-      </div>
-
-
-      <button id="recordButton"
-        class="bg-red-500 hover:bg-red-700 text-white font-bold py-2 px-4 rounded focus:outline-none focus:shadow-outline"
-      ><i class="fa-solid fa-microphone pr-2"></i>Talk</button>
-      <a id="resetButton"
-      class="inline-block align-baseline font-bold text-sm text-blue-500 hover:text-gray-200"
-      href="#"
-      >Reset conversation</a>
-      <audio id="audioPlayback" controls hidden></audio>
-
-        </div>
-      </div>
-      </div>
+      {{template "views/partials/footer" .}}
     </div>
   </body>
-</html>
+</html>

core/http/views/text2image.html

@@ -3,104 +3,118 @@
 {{template "views/partials/head" .}}
 <script defer src="static/image.js"></script>
 
-<body class="bg-gray-900 text-gray-200">
+<body class="bg-gradient-to-br from-gray-900 to-gray-950 text-gray-200">
 <div class="flex flex-col min-h-screen">
    
     {{template "views/partials/navbar" .}}
-    <div class="container mx-auto px-4 py-8 flex-grow " x-data="{ component: 'menu' }">
+    <div class="container mx-auto px-4 py-8 flex-grow" x-data="{ component: 'menu' }">
     
-
-          <!-- Hero Header -->
-          <div class="bg-gradient-to-r from-indigo-900/30 to-purple-900/30 rounded-2xl shadow-xl p-6 mb-8">
+        <!-- Hero Section -->
+        <div class="bg-gradient-to-r from-blue-900/30 to-indigo-900/30 rounded-2xl shadow-xl p-8 mb-6">
             <div class="max-w-4xl mx-auto text-center">
-                <h1 class="text-3xl md:text-4xl font-bold text-white mb-3">
-                    <span class="bg-clip-text text-transparent bg-gradient-to-r from-indigo-400 to-purple-400">
-                        Image generation {{ if .Model }} with {{.Model}} {{ end }}
+                <h1 class="text-4xl md:text-5xl font-bold text-white mb-4">
+                    <span class="bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">
+                        Image Generation {{ if .Model }} with {{.Model}} {{ end }}
                     </span>
                 </h1>
+                <p class="text-xl text-gray-300 mb-6">Create stunning images from text descriptions</p>
                 <div class="flex flex-wrap justify-center gap-4">
-                  <a href="https://localai.io/features/image-generation/" target="_blank" 
-                     class="group flex items-center bg-blue-600 hover:bg-blue-700 text-white py-2 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg">
-                      <i class="fas fa-book-reader mr-2"></i>
-                      <span>Documentation</span>
-                      <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
-                  </a>
-              </div>
+                    <a href="https://localai.io/features/image-generation/" target="_blank" 
+                       class="group flex items-center bg-blue-600 hover:bg-blue-700 text-white py-2 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg">
+                        <i class="fas fa-book-reader mr-2"></i>
+                        <span>Documentation</span>
+                        <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+                    </a>
+                    <a href="browse" 
+                       class="group flex items-center bg-indigo-600 hover:bg-indigo-700 text-white py-2 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg">
+                        <i class="fas fa-images mr-2"></i>
+                        <span>Gallery</span>
+                        <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+                    </a>
+                </div>
             </div>
         </div>
       
-            
-        <div class="mt-12">
-           <div class="text-center font-semibold text-gray-100">
-              <div class="flex items-center justify-between">
-
-              <div x-show="component === 'menu'" id="menu">
-                <button @click="component = 'key'" title="Update API key"
-                class="m-2 float-right inline-block rounded bg-primary px-6 pb-2.5 mb-3 pt-2.5 text-xs font-medium uppercase leading-normal text-white shadow-primary-3 transition duration-150 ease-in-out hover:bg-primary-accent-300 hover:shadow-primary-2 focus:bg-primary-accent-300 focus:shadow-primary-2 focus:outline-none focus:ring-0 active:bg-primary-600 active:shadow-primary-2 dark:shadow-black/30 dark:hover:shadow-dark-strong dark:focus:shadow-dark-strong dark:active:shadow-dark-strong"
-                >Set API Key🔑</button>
-              </div>
-              <form x-show="component === 'key'" id="key">
-                <input
-                  type="password"
-                  id="apiKey"
-                  name="apiKey"
-                  placeholder="OpenAI API Key"
-                  x-model.lazy="key"
-                />
-                <button @click="component = 'menu'" type="submit" title="Save API key">
-                  🔒
-                </button>
-              </form>
-
-              <select x-data="{ link : '' }" x-model="link" x-init="$watch('link', value => window.location = link)" 
-                class="bg-gray-800 text-white border border-gray-600 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-50 rounded-md shadow-sm p-2 appearance-none"
-                >	
-                <!-- Options -->
-                <option value="" disabled class="text-gray-400" >Select a model</option>
-                {{ $model:=.Model}}
-                {{ range .ModelsConfig }}
-                  {{ $cfg := . }}
-                  {{ range .KnownUsecaseStrings }}
-                    {{ if eq . "FLAG_IMAGE" }}
-                        <option value="text2image/{{$cfg.Name}}" {{ if eq $cfg.Name $model }} selected {{end}} class="bg-gray-700 text-white">{{$cfg.Name}}</option>
-                    {{ end }}
-                  {{ end }}
-                {{ end }}
-                {{ range .ModelsWithoutConfig }}
-                    <option value="text2image/{{.}}" {{ if eq . $model }} selected {{ end }} class="bg-gray-700 text-white">{{.}}</option>
-                {{end}}
-              </select>
-              
-              </div>
+        <!-- Model Selection - Positioned between hero and generation form -->
+        <div class="bg-gray-800/90 border border-gray-700/50 rounded-xl p-5 mb-6 shadow-lg">
+            <div class="flex items-center">
+                <div class="text-lg font-medium text-blue-400 mr-4">
+                    <i class="fas fa-palette mr-2"></i>Select Model:
+                </div>
+                <div class="flex-grow">
+                    <select x-data="{ link : '' }" x-model="link" x-init="$watch('link', value => window.location = link)" 
+                        id="model-select"
+                        class="bg-gray-900 text-white border border-gray-700 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-50 rounded-lg shadow-sm p-2.5 pr-10 appearance-none w-full max-w-md transition-colors duration-200"
+                    >	
+                        <option value="" disabled class="text-gray-400">Select a model</option>
+                        {{ $model:=.Model}}
+                        {{ range .ModelsConfig }}
+                          {{ $cfg := . }}
+                          {{ range .KnownUsecaseStrings }}
+                            {{ if eq . "FLAG_IMAGE" }}
+                                <option value="text2image/{{$cfg.Name}}" {{ if eq $cfg.Name $model }} selected {{end}} class="bg-gray-800 text-white">{{$cfg.Name}}</option>
+                            {{ end }}
+                          {{ end }}
+                        {{ end }}
+                        {{ range .ModelsWithoutConfig }}
+                            <option value="text2image/{{.}}" {{ if eq . $model }} selected {{ end }} class="bg-gray-800 text-white">{{.}}</option>
+                        {{end}}
+                    </select>
+                </div>
             </div>
-
-            <div class="mt-12 relative">
-              <input id="image-model" type="hidden" value="{{.Model}}">
-              <form id="genimage" action="text2image/{{.Model}}" method="get">
-                <input
-                  type="text"
-                  id="input"
-                  name="input"
-                  placeholder="Prompt…"
-                  autocomplete="off"
-                  class="form-control block w-full pl-10 px-4 py-3 text-base font-normal text-gray-300 bg-gray-900/80 bg-clip-padding border border-gray-700/70 rounded-lg transition ease-in-out focus:text-gray-200 focus:bg-gray-900 focus:border-blue-500 focus:ring-1 focus:ring-blue-500/50 focus:outline-none"
-                  required
-                />
-                <span id="loader" class="my-2 loader absolute right-3 top-2"  >
-                  <svg class="animate-spin h-5 w-5 text-blue-500" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
-                      <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle>
-                      <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
-                  </svg>
-                </span>
-              </form>
-              <div class="container max-w-screen-lg mx-auto mt-4 pb-10 flex justify-center">
-                <div id="result" class="mx-auto"></div>
-              </div>
+        </div>
+            
+        <!-- Image Generation Form -->
+        <div class="bg-gray-800/90 border border-gray-700/50 rounded-xl p-6 shadow-lg backdrop-blur-sm">
+            <h2 class="text-2xl font-bold text-white mb-6">Generate an Image</h2>
+            
+            <div class="relative">
+                <input id="image-model" type="hidden" value="{{.Model}}">
+                <form id="genimage" action="text2image/{{.Model}}" method="get" class="mb-8">
+                    <div class="relative">
+                        <div class="absolute inset-y-0 left-0 flex items-center pl-4">
+                            <i class="fas fa-magic text-blue-400"></i>
+                        </div>
+                        <input
+                            type="text"
+                            id="input"
+                            name="input"
+                            placeholder="Describe the image you want to generate..."
+                            autocomplete="off"
+                            class="form-control block w-full pl-12 pr-12 py-4 text-lg font-normal text-gray-300 bg-gray-900/80 bg-clip-padding border border-gray-700/70 rounded-lg transition ease-in-out focus:text-gray-200 focus:bg-gray-900 focus:border-blue-500 focus:ring-1 focus:ring-blue-500/50 focus:outline-none"
+                            required
+                        />
+                        <span id="loader" class="my-2 loader absolute right-4 top-4 hidden">
+                            <svg class="animate-spin h-6 w-6 text-blue-500" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
+                                <circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle>
+                                <path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
+                            </svg>
+                        </span>
+                    </div>
+                </form>
+                
+                <!-- Image Results Container -->
+                <div class="mt-6 border-t border-gray-700/50 pt-6">
+                    <h3 class="text-xl font-semibold text-gray-200 mb-4">Generated Image</h3>
+                    <div class="container mx-auto flex justify-center">
+                        <div id="result" class="mx-auto bg-gray-900/50 border border-gray-700/50 rounded-xl p-4 min-h-[300px] w-full flex items-center justify-center">
+                            <p class="text-gray-400 italic">Your generated image will appear here</p>
+                        </div>
+                    </div>
+                </div>
             </div>
         </div>
     </div>
 
     {{template "views/partials/footer" .}}
 </div>
+
+<script>
+    // Show loader when form is submitted
+    document.getElementById('genimage').addEventListener('submit', function() {
+        document.getElementById('loader').classList.remove('hidden');
+    });
+</script>
+
 </body>
-</html>
+</html>

core/http/views/tts.html

@@ -3,83 +3,107 @@
 {{template "views/partials/head" .}}
 <script defer src="static/tts.js"></script>
 
-<body class="bg-gray-900 text-gray-200">
+<body class="bg-gradient-to-br from-gray-900 to-gray-950 text-gray-200">
 <div class="flex flex-col min-h-screen">
    
     {{template "views/partials/navbar" .}}
-    <div class="container mx-auto px-4 flex-grow " x-data="{ component: 'menu' }">
-          <div class="mt-12">
-            <div class="flex items-center justify-center text-center pb-2">
-              <span class="text-3xl font-semibold text-gray-100">
-                <i class="fa-solid fa-music"></i> Text to speech/audio {{ if .Model }} (using {{.Model}}) {{ end }}
-              <a href="https://localai.io/features/text-to-audio/" target="_blank" >
-                <i class="fas fa-circle-info pr-2"></i>
-              </a>
-              </span>
-      
+    <div class="container mx-auto px-4 py-8 flex-grow">
+        <!-- Hero Section -->
+        <div class="bg-gradient-to-r from-purple-900/30 to-indigo-900/30 rounded-2xl shadow-xl p-8 mb-10">
+            <div class="max-w-4xl mx-auto text-center">
+                <h1 class="text-4xl md:text-5xl font-bold text-white mb-4">
+                    <span class="bg-clip-text text-transparent bg-gradient-to-r from-purple-400 to-indigo-400">
+                        <i class="fas fa-volume-high mr-2"></i>Text to Speech {{ if .Model }} with {{.Model}} {{ end }}
+                    </span>
+                </h1>
+                <p class="text-xl text-gray-300 mb-6">Convert your text into natural-sounding speech</p>
+                <div class="flex flex-wrap justify-center gap-4">
+                    <a href="https://localai.io/features/text-to-audio/" target="_blank" 
+                        class="group flex items-center bg-blue-600 hover:bg-blue-700 text-white py-2 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-105 hover:shadow-lg">
+                        <i class="fas fa-book-reader mr-2"></i>
+                        <span>Documentation</span>
+                        <i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
+                    </a>
+                </div>
             </div>
-            <div class="text-center font-semibold text-gray-100">
-              <div class="flex items-center justify-between">
+        </div>
 
-              <div x-show="component === 'menu'" id="menu">
-                <button @click="component = 'key'" title="Update API key"
-                class="m-2 float-right inline-block rounded bg-primary px-6 pb-2.5 mb-3 pt-2.5 text-xs font-medium uppercase leading-normal text-white shadow-primary-3 transition duration-150 ease-in-out hover:bg-primary-accent-300 hover:shadow-primary-2 focus:bg-primary-accent-300 focus:shadow-primary-2 focus:outline-none focus:ring-0 active:bg-primary-600 active:shadow-primary-2 dark:shadow-black/30 dark:hover:shadow-dark-strong dark:focus:shadow-dark-strong dark:active:shadow-dark-strong"
-                >Set API Key🔑</button>
-              </div>
-              <form x-show="component === 'key'" id="key">
-                <input
-                  type="password"
-                  id="apiKey"
-                  name="apiKey"
-                  placeholder="OpenAI API Key"
-                  x-model.lazy="key"
-                />
-                <button @click="component = 'menu'" type="submit" title="Save API key">
-                  🔒
-                </button>
-              </form>
+        <!-- TTS Interface -->
+        <div class="max-w-3xl mx-auto">
+            <div class="bg-gray-800/90 border border-gray-700/50 rounded-xl overflow-hidden transition-all duration-300 shadow-lg shadow-blue-900/20">
+                <!-- Header with Model Selection -->
+                <div class="border-b border-gray-700 p-5">
+                    <div class="flex flex-col sm:flex-row items-center justify-between gap-4">
+                        <!-- Model Selection -->
+                        <div class="flex items-center">
+                            <label for="model-select" class="mr-3 text-gray-300 font-medium">
+                                <i class="fas fa-microphone-lines text-purple-400 mr-2"></i>Model:
+                            </label>
+                            <select 
+                                id="model-select"
+                                x-data="{ link : '' }" 
+                                x-model="link" 
+                                x-init="$watch('link', value => window.location = link)" 
+                                class="bg-gray-800 text-white border border-gray-700 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-30 rounded-lg shadow-sm p-2.5 appearance-none"
+                            >	
+                                <option value="" disabled class="text-gray-400">Select a model</option>
+                                {{ $model:=.Model}}
+                                {{ range .ModelsConfig }}
+                                    {{ $cfg := . }}
+                                    {{ range .KnownUsecaseStrings }}
+                                        {{ if eq . "FLAG_TTS" }}
+                                            <option value="tts/{{$cfg.Name}}" {{ if eq $cfg.Name $model }} selected {{end}} class="bg-gray-700 text-white">{{$cfg.Name}}</option>
+                                        {{ end }}
+                                    {{ end }}
+                                {{ end }}
+                                {{ range .ModelsWithoutConfig }}
+                                    <option value="tts/{{.}}" {{ if eq . $model }} selected {{ end }} class="bg-gray-700 text-white">{{.}}</option>
+                                {{end}}
+                            </select>
+                        </div>
+                    </div>
+                </div>
 
-              <select x-data="{ link : '' }" x-model="link" x-init="$watch('link', value => window.location = link)" 
-                class="bg-gray-800 text-white border border-gray-600 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-50 rounded-md shadow-sm p-2 appearance-none"
-                >	
-                <!-- Options -->
-                <option value="" disabled class="text-gray-400" >Select a model</option>
-                {{ $model:=.Model}}
-                {{ range .ModelsConfig }}
-                  {{ $cfg := . }}
-                  {{ range .KnownUsecaseStrings }}
-                    {{ if eq . "FLAG_TTS" }}
-                        <option value="tts/{{$cfg.Name}}" {{ if eq $cfg.Name $model }} selected {{end}} class="bg-gray-700 text-white">{{$cfg.Name}}</option>
-                    {{ end }}
-                  {{ end }}
-                {{ end }}
-                {{ range .ModelsWithoutConfig }}
-                  <option value="tts/{{.}}" {{ if eq . $model }} selected {{ end }} class="bg-gray-700 text-white">{{.}}</option>
-                {{end}}
-              </select>
-              
-              </div>
-            </div>
+                <!-- Input Area -->
+                <div class="p-6">
+                    <div class="bg-blue-900/20 border border-blue-700/50 rounded-lg p-4 mb-6">
+                        <div class="flex items-start">
+                            <i class="fas fa-info-circle text-blue-400 mt-1 mr-3 flex-shrink-0"></i>
+                            <p class="text-gray-300">
+                                Enter your text below and submit to generate speech with the selected TTS model.
+                                The generated audio will appear below the input field.
+                            </p>
+                        </div>
+                    </div>
 
-            <div class="mt-12">
-              <input id="tts-model" type="hidden" value="{{.Model}}">
-              <form id="tts" action="tts/{{.Model}}" method="get">
-                <input
-                  type="text"
-                  id="input"
-                  name="input"
-                  placeholder="Prompt…"
-                  autocomplete="off"
-                  class="p-2 border rounded w-full bg-gray-600 text-white placeholder-gray-300"
-                  required
-                />
-              </form>
-              <div class="container max-w-screen-lg mx-auto mt-4 pb-10 flex justify-center">
-                <div id="loader" class="my-2 loader"  ></div>
-              </div>
-              <div class="container max-w-screen-lg mx-auto mt-4 pb-10 flex justify-center">
-                <div id="result" class="mx-auto"></div>
-              </div>
+                    <input id="tts-model" type="hidden" value="{{.Model}}">
+                    <form id="tts" action="tts/{{.Model}}" method="get" class="mb-6">
+                        <div class="relative">
+                            <input
+                                type="text"
+                                id="input"
+                                name="input"
+                                placeholder="Enter text to convert to speech..."
+                                autocomplete="off"
+                                class="w-full bg-gray-800 text-white border border-gray-700 focus:border-blue-500 focus:ring focus:ring-blue-500 focus:ring-opacity-30 rounded-lg shadow-sm p-4 pl-4 pr-12"
+                                required
+                            />
+                            <button type="submit" class="absolute right-3 top-1/2 transform -translate-y-1/2 text-blue-400 hover:text-blue-300 transition">
+                                <i class="fas fa-paper-plane"></i>
+                            </button>
+                        </div>
+                    </form>
+
+                    <!-- Loading indicator -->
+                    <div class="flex justify-center my-6">
+                        <div id="loader" class="animate-spin rounded-full h-10 w-10 border-t-2 border-b-2 border-purple-500" style="display: none;"></div>
+                    </div>
+
+                    <!-- Results Area -->
+                    <div class="bg-gray-700/50 border border-gray-600/50 rounded-lg p-4 min-h-[100px] flex items-center justify-center">
+                        <div id="result" class="w-full"></div>
+                    </div>
+                </div>
             </div>
         </div>
     </div>
@@ -87,4 +111,4 @@
     {{template "views/partials/footer" .}}
 </div>
 </body>
-</html>
+</html>

core/p2p/p2p.go

@@ -311,7 +311,6 @@ func ensureService(ctx context.Context, n *node.Node, nd *NodeData, sserv string
 				NodeData:   *nd,
 				CancelFunc: ndService.CancelFunc,
 			}
-			zlog.Debug().Msgf("Node %s is still online", nd.ID)
 		}
 	}
 }

docs/assets/jsconfig.json

@@ -3,7 +3,7 @@
   "baseUrl": ".",
   "paths": {
    "*": [
-    "../../../../.cache/hugo_cache/modules/filecache/modules/pkg/mod/github.com/gohugoio/hugo-mod-jslibs-dist/popperjs/v2@v2.21100.20000/package/dist/cjs/popper.js/*",
+    "../../../../.cache/hugo_cache/modules/filecache/modules/pkg/mod/github.com/gohugoio/hugo-mod-jslibs-dist/popperjs/v2@v2.21100.20000/package/dist/cjs/*",
     "../../../../.cache/hugo_cache/modules/filecache/modules/pkg/mod/github.com/twbs/bootstrap@v5.3.2+incompatible/js/*"
    ]
   }

docs/config.toml

@@ -48,9 +48,9 @@ defaultContentLanguage = 'en'
 
     [params.docs] # Parameters for the /docs 'template'
 
-        logo = "https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd"
-        logo_text = "LocalAI"
-        title           = "LocalAI documentation"           # default html title for documentation pages/sections
+        logo = "https://raw.githubusercontent.com/mudler/LocalAI/refs/heads/master/core/http/static/logo.png"
+        logo_text = ""
+        title           = "LocalAI"           # default html title for documentation pages/sections
 
         pathName        = "docs"                            # path name for documentation site | default "docs"
 
@@ -108,6 +108,7 @@ defaultContentLanguage = 'en'
         # indexName = "" # Index Name to perform search on (or set env variable HUGO_PARAM_DOCSEARCH_indexName)
 
     [params.analytics] # Parameters for Analytics (Google, Plausible)
+        # google = "G-XXXXXXXXXX" # Replace with your Google Analytics ID
         # plausibleURL    = "/docs/s" # (or set via env variable HUGO_PARAM_ANALYTICS_plausibleURL)
         # plausibleAPI    = "/docs/s" # optional - (or set via env variable HUGO_PARAM_ANALYTICS_plausibleAPI)
         # plausibleDomain = ""      # (or set via env variable HUGO_PARAM_ANALYTICS_plausibleDomain)
@@ -151,7 +152,7 @@ defaultContentLanguage = 'en'
 
 [languages]
   [languages.en]
-    title = "LocalAI documentation"
+    title = "LocalAI"
     languageName = "English"
     weight = 10
 #  [languages.fr]

docs/content/docs/features/distributed_inferencing.md

@@ -13,6 +13,8 @@ LocalAI supports two modes of distributed inferencing via p2p:
 - **Federated Mode**: Requests are shared between the cluster and routed to a single worker node in the network based on the load balancer's decision.
 - **Worker Mode** (aka "model sharding" or "splitting weights"): Requests are processed by all the workers which contributes to the final inference result (by sharing the model weights).
 
+A list of global instances shared by the community is available at [explorer.localai.io](https://explorer.localai.io).
+
 ## Usage
 
 Starting LocalAI with `--p2p` generates a shared token for connecting multiple instances: and that's all you need to create AI clusters, eliminating the need for intricate network setups.