⬆️ Update ggerganov/whisper.cpp (#398)

Signed-off-by: GitHub <noreply@github.com>
Co-authored-by: mudler <mudler@users.noreply.github.com>

.dockerignore

@@ -1,2 +1,4 @@
 models
-examples/chatbot-ui/models
+examples/chatbot-ui/models
+examples/rwkv/models
+examples/**/models

.env

@@ -1,5 +1,30 @@
+## Set number of threads.
+## Note: prefer the number of physical cores. Overbooking the CPU degrades performance notably.
 # THREADS=14
+
+## Specify a different bind address (defaults to ":8080")
+# ADDRESS=127.0.0.1:8080
+
+## Default models context size
 # CONTEXT_SIZE=512
+
+## Default path for models
 MODELS_PATH=/models
+
+## Enable debug mode
 # DEBUG=true
-# BUILD_TYPE=generic
+
+## Specify a build type. Available: cublas, openblas.
+# BUILD_TYPE=openblas
+
+## Uncomment and set to false to disable rebuilding from source
+# REBUILD=false
+
+## Enable image generation with stablediffusion (requires REBUILD=true)
+# GO_TAGS=stablediffusion
+
+## Path where to store generated images
+# IMAGE_PATH=/tmp
+
+## Specify a default upload limit in MB (whisper)
+# UPLOAD_LIMIT

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,31 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: bug
+assignees: mudler
+
+---
+
+<!-- Thanks for helping us to improve LocalAI! We welcome all bug reports. Please fill out each area of the template so we can better help you. Comments like this will be hidden when you post but you can delete them if you wish. -->
+
+**LocalAI version:**
+<!-- Container Image or LocalAI tag/commit -->
+
+**Environment, CPU architecture, OS, and Version:**
+<!-- Provide the output from "uname -a", HW specs, if it's a VM  -->
+
+**Describe the bug**
+<!-- A clear and concise description of what the bug is. -->
+
+**To Reproduce**
+<!-- Steps to reproduce the behavior, including the LocalAI command used, if any -->
+
+**Expected behavior**
+<!-- A clear and concise description of what you expected to happen. -->
+
+**Logs**
+<!-- If applicable, add logs while running LocalAI in debug mode (`--debug` or `DEBUG=true`) to help explain your problem.  -->
+
+**Additional context**
+<!-- Add any other context about the problem here. -->

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,8 @@
+blank_issues_enabled: false
+contact_links:
+  - name: Community Support
+    url: https://github.com/go-skynet/LocalAI/discussions
+    about: Please ask and answer questions here.
+  - name: Discord
+    url: https://discord.gg/uJAeKSAGDy
+    about: Join our community on Discord!

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,22 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: enhancement
+assignees: mudler
+
+---
+
+<!-- Thanks for helping us to improve LocalAI! We welcome all feature requests. Please fill out each area of the template so we can better help you. Comments like this will be hidden when you post but you can delete them if you wish. -->
+
+**Is your feature request related to a problem? Please describe.**
+<!-- A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]  -->
+
+**Describe the solution you'd like**
+<!-- A clear and concise description of what you want to happen.  -->
+
+**Describe alternatives you've considered**
+<!-- A clear and concise description of any alternative solutions or features you've considered.  -->
+
+**Additional context**
+<!-- Add any other context or screenshots about the feature request here. -->

.github/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,23 @@
+**Description**
+
+This PR fixes #
+
+**Notes for Reviewers**
+
+
+**[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)**
+- [ ] Yes, I signed my commits.
+ 
+
+<!--
+Thank you for contributing to LocalAI! 
+
+Contributing Conventions:
+
+1. Include descriptive PR titles with [<component-name>] prepended.
+2. Build and test your changes before submitting a PR. 
+3. Sign your commits
+
+By following the community's contribution conventions upfront, the review process will 
+be accelerated and your PR merged more quickly.
+-->

.github/release.yml

@@ -0,0 +1,24 @@
+# .github/release.yml
+
+changelog:
+  exclude:
+    labels:
+      - ignore-for-release
+  categories:
+    - title: Breaking Changes 🛠
+      labels:
+        - Semver-Major
+        - breaking-change
+    - title: "Bug fixes :bug:"
+      labels:
+        - bug
+    - title: Exciting New Features 🎉
+      labels:
+        - Semver-Minor
+        - enhancement
+    - title: 👒 Dependencies
+      labels:
+        - dependencies
+    - title: Other Changes
+      labels:
+        - "*"

.github/stale.yml

@@ -0,0 +1,18 @@
+# Number of days of inactivity before an issue becomes stale
+daysUntilStale: 45
+# Number of days of inactivity before a stale issue is closed
+daysUntilClose: 10
+# Issues with these labels will never be considered stale
+exemptLabels:
+  - issue/willfix
+# Label to use when marking an issue as stale
+staleLabel: issue/stale
+# Comment to post when marking an issue as stale. Set to `false` to disable
+markComment: >
+  This issue has been automatically marked as stale because it has not had
+  recent activity. It will be closed if no further activity occurs. Thank you
+  for your contributions.
+# Comment to post when closing a stale issue. Set to `false` to disable
+closeComment: >
+  This issue is being automatically closed due to inactivity.
+  However, you may choose to reopen this issue.

.github/workflows/bump_deps.yaml

@@ -9,18 +9,27 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - repository: "go-skynet/go-gpt4all-j.cpp"
-            variable: "GOGPT4ALLJ_VERSION"
-            branch: "master"
           - repository: "go-skynet/go-llama.cpp"
             variable: "GOLLAMA_VERSION"
             branch: "master"
-          - repository: "go-skynet/go-gpt2.cpp"
-            variable: "GOGPT2_VERSION"
+          - repository: "go-skynet/go-ggml-transformers.cpp"
+            variable: "GOGGMLTRANSFORMERS_VERSION"
             branch: "master"
           - repository: "donomii/go-rwkv.cpp"
             variable: "RWKV_VERSION"
             branch: "main"
+          - repository: "ggerganov/whisper.cpp"
+            variable: "WHISPER_CPP_VERSION"
+            branch: "master"
+          - repository: "go-skynet/go-bert.cpp"
+            variable: "BERT_VERSION"
+            branch: "master"
+          - repository: "go-skynet/bloomz.cpp"
+            variable: "BLOOMZ_VERSION"
+            branch: "main"
+          - repository: "nomic-ai/gpt4all"
+            variable: "GPT4ALL_VERSION"
+            branch: "main"
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v3

.github/workflows/image.yml

@@ -9,6 +9,10 @@ on:
     tags:
       - '*'
 
+concurrency:
+  group: ci-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
 jobs:
   docker:
     runs-on: ubuntu-latest

.github/workflows/release.yaml

@@ -0,0 +1,84 @@
+name: Build and Release
+
+on: push
+
+permissions:
+  contents: write
+
+jobs:
+  build-linux:
+    strategy:
+      matrix:
+        include:
+          - build: 'avx2'
+            defines: ''
+          - build: 'avx'
+            defines: '-DLLAMA_AVX2=OFF'
+          - build: 'avx512'
+            defines: '-DLLAMA_AVX512=ON'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v3
+        with: 
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install build-essential ffmpeg
+      - name: Build
+        id: build
+        env:
+          CMAKE_ARGS: "${{ matrix.define }}"
+          BUILD_ID: "${{ matrix.build }}"
+        run: |
+          make dist
+      - uses: actions/upload-artifact@v3
+        with:
+          name: ${{ matrix.build }}
+          path: release/
+      - name: Release
+        uses: softprops/action-gh-release@v1
+        if: startsWith(github.ref, 'refs/tags/')
+        with:
+          files: |
+            release/*
+
+  build-macOS:
+    strategy:
+      matrix:
+        include:
+          - build: 'avx2'
+            defines: ''
+          - build: 'avx'
+            defines: '-DLLAMA_AVX2=OFF'
+          - build: 'avx512'
+            defines: '-DLLAMA_AVX512=ON'
+    runs-on: macOS-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v3
+        with: 
+          submodules: true
+
+      - name: Dependencies
+        run: |
+          brew update
+          brew install sdl2 ffmpeg
+      - name: Build
+        id: build
+        env:
+          CMAKE_ARGS: "${{ matrix.define }}"
+          BUILD_ID: "${{ matrix.build }}"
+        run: |
+          make dist
+      - uses: actions/upload-artifact@v3
+        with:
+          name: ${{ matrix.build }}
+          path: release/
+      - name: Release
+        uses: softprops/action-gh-release@v1
+        if: startsWith(github.ref, 'refs/tags/')
+        with:
+          files: |
+            release/*

.github/workflows/release.yml.disabled

@@ -1,26 +0,0 @@
-name: goreleaser
-
-on:
-  push:
-    tags:
-      - 'v*'
-
-jobs:
-  goreleaser:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v3
-        with:
-          fetch-depth: 0
-      - name: Set up Go
-        uses: actions/setup-go@v3
-        with:
-          go-version: 1.18
-      - name: Run GoReleaser
-        uses: goreleaser/goreleaser-action@v4
-        with:
-          version: latest
-          args: release --clean
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/test.yml

@@ -9,6 +9,10 @@ on:
     tags:
       - '*'
 
+concurrency:
+  group: ci-tests-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
 jobs:
   ubuntu-latest:
     runs-on: ubuntu-latest
@@ -21,7 +25,7 @@ jobs:
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential
+          sudo apt-get install build-essential ffmpeg
       - name: Test
         run: |
           make test
@@ -38,7 +42,7 @@ jobs:
       - name: Dependencies
         run: |
           brew update
-          brew install sdl2
+          brew install sdl2 ffmpeg
       - name: Test
         run: |
           make test

.gitignore

@@ -1,8 +1,10 @@
 # go-llama build artifacts
 go-llama
-go-gpt4all-j
+gpt4all
+go-stable-diffusion
 go-gpt2
 go-rwkv
+whisper.cpp
 
 # LocalAI build binary
 LocalAI
@@ -12,4 +14,9 @@ local-ai
 
 # Ignore models
 models/*
-test-models/
+test-models/
+
+release/
+
+# just in case
+.DS_Store

.goreleaser.yaml

@@ -1,15 +0,0 @@
-# Make sure to check the documentation at http://goreleaser.com
-project_name: local-ai
-builds:
-  - ldflags:
-      - -w -s
-    env:
-      - CGO_ENABLED=0
-    goos:
-      - linux
-      - darwin
-      - windows
-    goarch:
-      - amd64
-      - arm64
-    binary: '{{ .ProjectName }}'

.vscode/launch.json

@@ -2,7 +2,20 @@
     "version": "0.2.0",
     "configurations": [
         {
-            "name": "Launch Go",
+            "name": "Python: Current File",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal",
+            "justMyCode": false,
+            "cwd": "${workspaceFolder}/examples/langchain-chroma",
+            "env": {
+                "OPENAI_API_BASE": "http://localhost:8080/v1",
+                "OPENAI_API_KEY": "abc"
+            }
+        },
+        {
+            "name": "Launch LocalAI API",
             "type": "go",
             "request": "launch",
             "mode": "debug",
@@ -11,8 +24,8 @@
                 "api"
             ],
             "env": {
-                "C_INCLUDE_PATH": "/workspace/go-llama:/workspace/go-gpt4all-j:/workspace/go-gpt2",
-                "LIBRARY_PATH": "/workspace/go-llama:/workspace/go-gpt4all-j:/workspace/go-gpt2",
+                "C_INCLUDE_PATH": "${workspaceFolder}/go-llama:${workspaceFolder}/go-stable-diffusion/:${workspaceFolder}/gpt4all/gpt4all-bindings/golang/:${workspaceFolder}/go-gpt2:${workspaceFolder}/go-rwkv:${workspaceFolder}/whisper.cpp:${workspaceFolder}/go-bert:${workspaceFolder}/bloomz",
+                "LIBRARY_PATH": "$${workspaceFolder}/go-llama:${workspaceFolder}/go-stable-diffusion/:${workspaceFolder}/gpt4all/gpt4all-bindings/golang/:${workspaceFolder}/go-gpt2:${workspaceFolder}/go-rwkv:${workspaceFolder}/whisper.cpp:${workspaceFolder}/go-bert:${workspaceFolder}/bloomz",
                 "DEBUG": "true"
             }
         }

Dockerfile

@@ -1,9 +1,15 @@
 ARG GO_VERSION=1.20
 ARG BUILD_TYPE=
 FROM golang:$GO_VERSION
+ENV REBUILD=true
 WORKDIR /build
-RUN apt-get update && apt-get install -y cmake
+RUN apt-get update && apt-get install -y cmake curl libgomp1 libopenblas-dev libopenblas-base libopencv-dev libopencv-core-dev libopencv-core4.5 ca-certificates
 COPY . .
-RUN make prepare-sources
+RUN ln -s /usr/include/opencv4/opencv2/ /usr/include/opencv2
+RUN make build
+ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
+# Define the health check command
+HEALTHCHECK --interval=30s --timeout=360s --retries=10 \
+  CMD curl -f $HEALTHCHECK_ENDPOINT || exit 1
 EXPOSE 8080
 ENTRYPOINT [ "/build/entrypoint.sh" ]

Dockerfile.dev

@@ -4,11 +4,17 @@ ARG BUILD_TYPE=
 
 FROM golang:$GO_VERSION as builder
 WORKDIR /build
-RUN apt-get update && apt-get install -y cmake
+RUN apt-get update && apt-get install -y cmake libgomp1 libopenblas-dev libopenblas-base libopencv-dev libopencv-core-dev libopencv-core4.5 
+RUN ln -s /usr/include/opencv4/opencv2/ /usr/include/opencv2
 COPY . .
 RUN make build
 
 FROM debian:$DEBIAN_VERSION
 COPY --from=builder /build/local-ai /usr/bin/local-ai
+RUN apt-get update && apt-get install -y ca-certificates curl
+ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
+# Define the health check command
+HEALTHCHECK --interval=30s --timeout=360s --retries=10 \
+  CMD curl -f $HEALTHCHECK_ENDPOINT || exit 1
 EXPOSE 8080
 ENTRYPOINT [ "/usr/bin/local-ai" ]

Makefile

@@ -3,49 +3,94 @@ GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
 
-GOLLAMA_VERSION?=cf9b522db63898dcc5eb86e37c979ab85cbd583e
-GOGPT4ALLJ_VERSION?=1f7bff57f66cb7062e40d0ac3abd2217815e5109
-GOGPT2_VERSION?=245a5bfe6708ab80dc5c733dcdbfbe3cfd2acdaa
+GOLLAMA_VERSION?=fbec625895ba0c458f783b62c8569135c5e80d79
+GPT4ALL_REPO?=https://github.com/nomic-ai/gpt4all
+GPT4ALL_VERSION?=73db20ba85fbbdc66a56e2619394c0eea40dc72b
+GOGGMLTRANSFORMERS_VERSION?=4f18e5eb75089dc1fc8f1c955bb8f73d18520a46
 RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
-RWKV_VERSION?=af62fcc432be2847acb6e0688b2c2491d6588d58
+RWKV_VERSION?=07166da10cb2a9e8854395a4f210464dcea76e47
+WHISPER_CPP_VERSION?=9b926844e3ae0ca6a0d13573b2e0349be1a4b573
+BERT_VERSION?=cea1ed76a7f48ef386a8e369f6c82c48cdf2d551
+BLOOMZ_VERSION?=e9366e82abdfe70565644fbfae9651976714efd1
+BUILD_TYPE?=
+CGO_LDFLAGS?=
+CUDA_LIBPATH?=/usr/local/cuda/lib64/
+STABLEDIFFUSION_VERSION?=c0748eca3642d58bcf9521108bcee46959c647dc
+GO_TAGS?=
+BUILD_ID?=git
+LD_FLAGS=?=
+OPTIONAL_TARGETS?=
 
+OS := $(shell uname -s)
+ARCH := $(shell uname -m)
 GREEN  := $(shell tput -Txterm setaf 2)
 YELLOW := $(shell tput -Txterm setaf 3)
 WHITE  := $(shell tput -Txterm setaf 7)
 CYAN   := $(shell tput -Txterm setaf 6)
 RESET  := $(shell tput -Txterm sgr0)
 
-C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv
-LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2:$(shell pwd)/go-rwkv
+C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
+LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-stable-diffusion/:$(shell pwd)/gpt4all/gpt4all-bindings/golang/:$(shell pwd)/go-ggml-transformers:$(shell pwd)/go-rwkv:$(shell pwd)/whisper.cpp:$(shell pwd)/go-bert:$(shell pwd)/bloomz
 
-# Use this if you want to set the default behavior
-ifndef BUILD_TYPE
-	BUILD_TYPE:=default
+ifeq ($(BUILD_TYPE),openblas)
+	CGO_LDFLAGS+=-lopenblas
 endif
 
-ifeq ($(BUILD_TYPE), "generic")
-	GENERIC_PREFIX:=generic-
-else
-	GENERIC_PREFIX:=
+ifeq ($(BUILD_TYPE),cublas)
+	CGO_LDFLAGS+=-lcublas -lcudart -L$(CUDA_LIBPATH)
+	export LLAMA_CUBLAS=1
+endif
+
+# glibc-static or glibc-devel-static required
+ifeq ($(STATIC),true)
+	LD_FLAGS=-linkmode external -extldflags -static
+endif
+
+ifeq ($(GO_TAGS),stablediffusion)
+	OPTIONAL_TARGETS+=go-stable-diffusion/libstablediffusion.a
 endif
 
 .PHONY: all test build vendor
 
 all: help
 
-## GPT4ALL-J
-go-gpt4all-j:
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt4all-j.cpp go-gpt4all-j
-	cd go-gpt4all-j && git checkout -b build $(GOGPT4ALLJ_VERSION) && git submodule update --init --recursive --depth 1
+## GPT4ALL
+gpt4all:
+	git clone --recurse-submodules $(GPT4ALL_REPO) gpt4all
+	cd gpt4all && git checkout -b build $(GPT4ALL_VERSION) && git submodule update --init --recursive --depth 1
 	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
-	@find ./go-gpt4all-j -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
+	@find ./gpt4all -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/set_console_color/set_gptj_console_color/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.go" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.h" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.txt" -exec sed -i'' -e 's/llama_/gptjllama_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
+	@find ./gpt4all -type f -name "*.cpp" -exec sed -i'' -e 's/regex_escape/gpt4allregex_escape/g' {} +
+	mv ./gpt4all/gpt4all-backend/llama.cpp/llama_util.h ./gpt4all/gpt4all-backend/llama.cpp/gptjllama_util.h
+
+## BERT embeddings
+go-bert:
+	git clone --recurse-submodules https://github.com/go-skynet/go-bert.cpp go-bert
+	cd go-bert && git checkout -b build $(BERT_VERSION) && git submodule update --init --recursive --depth 1
+	@find ./go-bert -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
+	@find ./go-bert -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
+	@find ./go-bert -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_bert_/g' {} +
+
+## stable diffusion
+go-stable-diffusion:
+	git clone --recurse-submodules https://github.com/mudler/go-stable-diffusion go-stable-diffusion
+	cd go-stable-diffusion && git checkout -b build $(STABLEDIFFUSION_VERSION) && git submodule update --init --recursive --depth 1
+
+go-stable-diffusion/libstablediffusion.a:
+	$(MAKE) -C go-stable-diffusion libstablediffusion.a
 
 ## RWKV
 go-rwkv:
@@ -58,79 +103,132 @@ go-rwkv:
 go-rwkv/librwkv.a: go-rwkv
 	cd go-rwkv && cd rwkv.cpp &&	cmake . -DRWKV_BUILD_SHARED_LIBRARY=OFF &&	cmake --build . && 	cp librwkv.a .. && cp ggml/src/libggml.a ..
 
-go-gpt4all-j/libgptj.a: go-gpt4all-j
-	$(MAKE) -C go-gpt4all-j $(GENERIC_PREFIX)libgptj.a
+## bloomz
+bloomz:
+	git clone --recurse-submodules https://github.com/go-skynet/bloomz.cpp bloomz
+	@find ./bloomz -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
+	@find ./bloomz -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
+	@find ./bloomz -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_bloomz_/g' {} +
+	@find ./bloomz -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt_bloomz_/g' {} +
+	@find ./bloomz -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt_bloomz_/g' {} +
+
+bloomz/libbloomz.a: bloomz
+	cd bloomz && make libbloomz.a
+
+go-bert/libgobert.a: go-bert
+	$(MAKE) -C go-bert libgobert.a
+
+gpt4all/gpt4all-bindings/golang/libgpt4all.a: gpt4all
+	$(MAKE) -C gpt4all/gpt4all-bindings/golang/ libgpt4all.a
 
 ## CEREBRAS GPT
-go-gpt2: 
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt2.cpp go-gpt2
-	cd go-gpt2 && git checkout -b build $(GOGPT2_VERSION) && git submodule update --init --recursive --depth 1
+go-ggml-transformers: 
+	git clone --recurse-submodules https://github.com/go-skynet/go-ggml-transformers.cpp go-ggml-transformers
+	cd go-ggml-transformers && git checkout -b build $(GOGPT2_VERSION) && git submodule update --init --recursive --depth 1
 	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
-	@find ./go-gpt2 -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/gpt_print_usage/gpt2_print_usage/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/gpt_params_parse/gpt2_params_parse/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.h" -exec sed -i'' -e 's/gpt_random_prompt/gpt2_random_prompt/g' {} +
+	@find ./go-ggml-transformers -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
 
-go-gpt2/libgpt2.a: go-gpt2
-	$(MAKE) -C go-gpt2 $(GENERIC_PREFIX)libgpt2.a
+go-ggml-transformers/libtransformers.a: go-ggml-transformers
+	$(MAKE) -C go-ggml-transformers libtransformers.a
+
+whisper.cpp:
+	git clone https://github.com/ggerganov/whisper.cpp.git
+	cd whisper.cpp && git checkout -b build $(WHISPER_CPP_VERSION) && git submodule update --init --recursive --depth 1
+	@find ./whisper.cpp -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
+	@find ./whisper.cpp -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
+	@find ./whisper.cpp -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_whisper_/g' {} +
+
+whisper.cpp/libwhisper.a: whisper.cpp
+	cd whisper.cpp && make libwhisper.a
 
 go-llama:
 	git clone --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
 	cd go-llama && git checkout -b build $(GOLLAMA_VERSION) && git submodule update --init --recursive --depth 1
 
 go-llama/libbinding.a: go-llama 
-	$(MAKE) -C go-llama $(GENERIC_PREFIX)libbinding.a
+	$(MAKE) -C go-llama BUILD_TYPE=$(BUILD_TYPE) libbinding.a
 
 replace:
 	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2
+	$(GOCMD) mod edit -replace github.com/nomic-ai/gpt4all/gpt4all-bindings/golang=$(shell pwd)/gpt4all/gpt4all-bindings/golang
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-ggml-transformers.cpp=$(shell pwd)/go-ggml-transformers
 	$(GOCMD) mod edit -replace github.com/donomii/go-rwkv.cpp=$(shell pwd)/go-rwkv
+	$(GOCMD) mod edit -replace github.com/ggerganov/whisper.cpp=$(shell pwd)/whisper.cpp
+	$(GOCMD) mod edit -replace github.com/go-skynet/go-bert.cpp=$(shell pwd)/go-bert
+	$(GOCMD) mod edit -replace github.com/go-skynet/bloomz.cpp=$(shell pwd)/bloomz
+	$(GOCMD) mod edit -replace github.com/mudler/go-stable-diffusion=$(shell pwd)/go-stable-diffusion
 
-prepare-sources: go-llama go-gpt2 go-gpt4all-j go-rwkv
+prepare-sources: go-llama go-ggml-transformers gpt4all go-rwkv whisper.cpp go-bert bloomz go-stable-diffusion replace
 	$(GOCMD) mod download
 
 ## GENERIC
 rebuild: ## Rebuilds the project
 	$(MAKE) -C go-llama clean
-	$(MAKE) -C go-gpt4all-j clean
-	$(MAKE) -C go-gpt2 clean
+	$(MAKE) -C gpt4all/gpt4all-bindings/golang/ clean
+	$(MAKE) -C go-ggml-transformers clean
 	$(MAKE) -C go-rwkv clean
+	$(MAKE) -C whisper.cpp clean
+	$(MAKE) -C go-stable-diffusion clean
+	$(MAKE) -C go-bert clean
+	$(MAKE) -C bloomz clean
 	$(MAKE) build
 
-prepare: prepare-sources go-llama/libbinding.a go-gpt4all-j/libgptj.a go-gpt2/libgpt2.a go-rwkv/librwkv.a replace ## Prepares for building
+prepare: prepare-sources gpt4all/gpt4all-bindings/golang/libgpt4all.a $(OPTIONAL_TARGETS) go-llama/libbinding.a go-bert/libgobert.a go-ggml-transformers/libtransformers.a go-rwkv/librwkv.a whisper.cpp/libwhisper.a bloomz/libbloomz.a  ## Prepares for building
 
 clean: ## Remove build related file
 	rm -fr ./go-llama
-	rm -rf ./go-gpt4all-j
-	rm -rf ./go-gpt2
+	rm -rf ./gpt4all
+	rm -rf ./go-stable-diffusion
+	rm -rf ./go-ggml-transformers
 	rm -rf ./go-rwkv
+	rm -rf ./go-bert
+	rm -rf ./bloomz
+	rm -rf ./whisper.cpp
 	rm -rf $(BINARY_NAME)
+	rm -rf release/
 
 ## Build:
 
 build: prepare ## Build the project
 	$(info ${GREEN}I local-ai build info:${RESET})
 	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
-	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -o $(BINARY_NAME) ./
+	$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -x -o $(BINARY_NAME) ./
+
+dist: build
+	mkdir -p release
+	cp $(BINARY_NAME) release/$(BINARY_NAME)-$(BUILD_ID)-$(OS)-$(ARCH)
 
 generic-build: ## Build the project using generic
 	BUILD_TYPE="generic" $(MAKE) build
 
 ## Run
 run: prepare ## run local-ai
-	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) run ./main.go
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) run ./main.go
 
 test-models/testmodel:
 	mkdir test-models
-	wget https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerberas-111m-q4_0.bin -O test-models/testmodel
-	cp tests/fixtures/* test-models
+	mkdir test-dir
+	wget https://huggingface.co/nnakasato/ggml-model-test/resolve/main/ggml-model-q4.bin -O test-models/testmodel
+	wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
+	wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O test-models/bert
+	wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
+	wget https://huggingface.co/imxcstar/rwkv-4-raven-ggml/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%25-Other1%25-20230425-ctx4096-16_Q4_2.bin -O test-models/rwkv
+	wget https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O test-models/rwkv.tokenizer.json
+	cp tests/models_fixtures/* test-models
 
 test: prepare test-models/testmodel
-	cp tests/fixtures/* test-models
-	@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo -v -r ./...
+	cp tests/models_fixtures/* test-models
+	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models $(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flakeAttempts 5 -v -r ./api ./pkg
 
 ## Help:
 help: ## Show this help.

README.md

@@ -9,28 +9,65 @@
 
 [![](https://dcbadge.vercel.app/api/server/uJAeKSAGDy?style=flat-square&theme=default-inverted)](https://discord.gg/uJAeKSAGDy) 
 
-**LocalAI** is a drop-in replacement REST API compatible with OpenAI for local CPU inferencing. It allows to run models locally or on-prem with consumer grade hardware. It is based on [llama.cpp](https://github.com/ggerganov/llama.cpp), [gpt4all](https://github.com/nomic-ai/gpt4all), [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp) and [ggml](https://github.com/ggerganov/ggml), including support GPT4ALL-J which is licensed under Apache 2.0.
+**LocalAI** is a drop-in replacement REST API that's compatible with OpenAI API specifications for local inferencing. It allows you to run models locally or on-prem with consumer grade hardware, supporting multiple model families that are compatible with the ggml format.
 
-- OpenAI compatible API
-- Supports multiple models
+For a list of the supported model families, please see [the model compatibility table below](https://github.com/go-skynet/LocalAI#model-compatibility-table).
+
+In a nutshell:
+
+- Local, OpenAI drop-in alternative REST API. You own your data.
+- NO GPU required. NO Internet access is required either. Optional, GPU Acceleration is available in `llama.cpp`-compatible LLMs. [See building instructions](https://github.com/go-skynet/LocalAI#cublas).
+- Supports multiple models, Audio transcription, Text generation with GPTs, Image generation with stable diffusion (experimental)
 - Once loaded the first time, it keep models loaded in memory for faster inference
-- Support for prompt templates
-- Doesn't shell-out, but uses C bindings for a faster inference and better performance. 
+- Doesn't shell-out, but uses C++ bindings for a faster inference and better performance. 
 
 LocalAI is a community-driven project, focused on making the AI accessible to anyone. Any contribution, feedback and PR is welcome! It was initially created by [mudler](https://github.com/mudler/) at the [SpectroCloud OSS Office](https://github.com/spectrocloud).
 
-See [examples on how to integrate LocalAI](https://github.com/go-skynet/LocalAI/tree/master/examples/).
+See the [usage](https://github.com/go-skynet/LocalAI#usage) and [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/) sections to learn how to use LocalAI. For a list of curated models check out the [model gallery](https://github.com/go-skynet/model-gallery).
+
+### How does it work?  
+
+<details>
+
+LocalAI is an API written in Go that serves as an OpenAI shim, enabling software already developed with OpenAI SDKs to seamlessly integrate with LocalAI. It can be effortlessly implemented as a substitute, even on consumer-grade hardware. This capability is achieved by employing various C++ backends, including [ggml](https://github.com/ggerganov/ggml), to perform inference on LLMs using both CPU and, if desired, GPU.
+
+LocalAI uses C++ bindings for optimizing speed. It is based on [llama.cpp](https://github.com/ggerganov/llama.cpp), [gpt4all](https://github.com/nomic-ai/gpt4all), [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp), [ggml](https://github.com/ggerganov/ggml), [whisper.cpp](https://github.com/ggerganov/whisper.cpp) for audio transcriptions, [bert.cpp](https://github.com/skeskinen/bert.cpp) for embedding and [StableDiffusion-NCN](https://github.com/EdVince/Stable-Diffusion-NCNN) for image generation. See [the model compatibility table](https://github.com/go-skynet/LocalAI#model-compatibility-table) to learn about all the components of LocalAI.
+
+![LocalAI](https://github.com/go-skynet/LocalAI/assets/2420543/38de3a9b-3866-48cd-9234-662f9571064a)
+
+</details>
 
 ## News
 
+- 23-05-2023: __v1.15.0__ released. `go-gpt2.cpp` backend got renamed to `go-ggml-transformers.cpp` updated including https://github.com/ggerganov/llama.cpp/pull/1508 which breaks compatibility with older models. This impacts RedPajama, GptNeoX, MPT(not `gpt4all-mpt`), Dolly, GPT2 and Starcoder based models. [Binary releases available](https://github.com/go-skynet/LocalAI/releases), various fixes, including https://github.com/go-skynet/LocalAI/pull/341 .
+- 21-05-2023: __v1.14.0__ released. Minor updates to the `/models/apply` endpoint, `llama.cpp` backend updated including https://github.com/ggerganov/llama.cpp/pull/1508 which breaks compatibility with older models. `gpt4all` is still compatible with the old format. 
+- 19-05-2023: __v1.13.0__ released! 🔥🔥 updates to the `gpt4all` and `llama` backend, consolidated CUDA support ( https://github.com/go-skynet/LocalAI/pull/310 thanks to @bubthegreat and @Thireus ), preliminar support for [installing models via API](https://github.com/go-skynet/LocalAI#advanced-prepare-models-using-the-api).
+- 17-05-2023:  __v1.12.0__ released! 🔥🔥 Minor fixes, plus CUDA (https://github.com/go-skynet/LocalAI/pull/258) support for `llama.cpp`-compatible models and image generation (https://github.com/go-skynet/LocalAI/pull/272).
+- 16-05-2023: 🔥🔥🔥 Experimental support for CUDA (https://github.com/go-skynet/LocalAI/pull/258) in the `llama.cpp` backend and Stable diffusion CPU image generation (https://github.com/go-skynet/LocalAI/pull/272) in `master`.
+
+Now LocalAI can generate images too:
+
+| mode=0                                                                                                                | mode=1 (winograd/sgemm)                                                                                                                |
+|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
+| ![b6441997879](https://github.com/go-skynet/LocalAI/assets/2420543/d50af51c-51b7-4f39-b6c2-bf04c403894c)              | ![winograd2](https://github.com/go-skynet/LocalAI/assets/2420543/1935a69a-ecce-4afc-a099-1ac28cb649b3)                |
+
+- 14-05-2023: __v1.11.1__ released! `rwkv` backend patch release
+- 13-05-2023: __v1.11.0__ released! 🔥 Updated `llama.cpp` bindings: This update includes a breaking change in the model files ( https://github.com/ggerganov/llama.cpp/pull/1405 ) - old models should still work with the `gpt4all-llama` backend.
+- 12-05-2023: __v1.10.0__ released! 🔥🔥 Updated `gpt4all` bindings. Added support for GPTNeox (experimental), RedPajama (experimental), Starcoder (experimental), Replit (experimental), MosaicML MPT. Also now `embeddings` endpoint supports tokens arrays. See the [langchain-chroma](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-chroma) example! Note - this update does NOT include https://github.com/ggerganov/llama.cpp/pull/1405 which makes models incompatible.
+- 11-05-2023: __v1.9.0__ released! 🔥 Important whisper updates ( https://github.com/go-skynet/LocalAI/pull/233 https://github.com/go-skynet/LocalAI/pull/229 ) and extended gpt4all model families support ( https://github.com/go-skynet/LocalAI/pull/232 ). Redpajama/dolly experimental ( https://github.com/go-skynet/LocalAI/pull/214 )
+- 10-05-2023: __v1.8.0__ released! 🔥 Added support for fast and accurate embeddings with `bert.cpp` ( https://github.com/go-skynet/LocalAI/pull/222 )
+- 09-05-2023: Added experimental support for transcriptions endpoint ( https://github.com/go-skynet/LocalAI/pull/211 )
+- 08-05-2023: Support for embeddings with models using the `llama.cpp` backend ( https://github.com/go-skynet/LocalAI/pull/207 )
 - 02-05-2023: Support for `rwkv.cpp` models ( https://github.com/go-skynet/LocalAI/pull/158 ) and for `/edits` endpoint
 - 01-05-2023: Support for SSE stream of tokens in `llama.cpp` backends ( https://github.com/go-skynet/LocalAI/pull/152 )
 
 Twitter: [@LocalAI_API](https://twitter.com/LocalAI_API) and [@mudler_it](https://twitter.com/mudler_it)
 
-### Blogs and articles
+### Blogs, articles, media
 
-- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65) - excellent usecase for localAI, using AI to analyse Kubernetes clusters.
+- [LocalAI meets k8sgpt](https://www.youtube.com/watch?v=PKrDNuJ_dfE) - CNCF Webinar showcasing LocalAI and k8sgpt.
+- [Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All](https://mudler.pm/posts/localai-question-answering/) by Ettore Di Giacinto
+- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65) - excellent usecase for localAI, using AI to analyse Kubernetes clusters. by Tyller Gillson
 
 ## Contribute and help
 
@@ -51,16 +88,14 @@ It is compatible with the models supported by [llama.cpp](https://github.com/gge
 Tested with:
 - Vicuna
 - Alpaca
-- [GPT4ALL](https://github.com/nomic-ai/gpt4all) (changes required, see below)
+- [GPT4ALL](https://gpt4all.io)
 - [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin) (no changes required)
 - Koala
 - [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml)
 - WizardLM
 - [RWKV](https://github.com/BlinkDL/RWKV-LM) models with [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp)
 
-### GPT4ALL
-
-Note: You might need to convert older models to the new format, see [here](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
+Note: You might need to convert some models from older models to the new format, for indications, see [the README in llama.cpp](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
 
 ### RWKV
 
@@ -68,7 +103,7 @@ Note: You might need to convert older models to the new format, see [here](https
 
 A full example on how to run a rwkv model is in the [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv).
 
-Note: rwkv models have an associated tokenizer along that needs to be provided with it:
+Note: rwkv models needs to specify the backend `rwkv` in the YAML config files and have an associated tokenizer along that needs to be provided with it:
 
 ```
 36464540 -rw-r--r--  1 mudler mudler 1.2G May  3 10:51 rwkv_small
@@ -86,11 +121,35 @@ It should also be compatible with StableLM and GPTNeoX ggml models (untested).
 Depending on the model you are attempting to run might need more RAM or CPU resources. Check out also [here](https://github.com/ggerganov/llama.cpp#memorydisk-requirements) for `ggml` based backends. `rwkv` is less expensive on resources.
 
 
+### Model compatibility table
+
+<details>
+
+| Backend and Bindings                                                             | Compatible models     | Completion/Chat endpoint | Audio transcription/Image | Embeddings support                | Token stream support |
+|----------------------------------------------------------------------------------|-----------------------|--------------------------|---------------------------|-----------------------------------|----------------------|
+| [llama](https://github.com/ggerganov/llama.cpp) ([binding](https://github.com/go-skynet/go-llama.cpp))         | Vicuna, Alpaca, LLaMa | yes                      | no                        | yes (doesn't seem to be accurate) | yes                  |
+| [gpt4all-llama](https://github.com/nomic-ai/gpt4all)      | Vicuna, Alpaca, LLaMa | yes                      | no                        | no                                | yes                  |
+| [gpt4all-mpt](https://github.com/nomic-ai/gpt4all)          | MPT                   | yes                      | no                        | no                                | yes                  |
+| [gpt4all-j](https://github.com/nomic-ai/gpt4all)           | GPT4ALL-J             | yes                      | no                        | no                                | yes                  |
+| [gpt2](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp))             | GPT2, Cerebras    | yes                      | no                        | no                                | no                   |
+| [dolly](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp))            | Dolly                 | yes                      | no                        | no                                | no                   |
+| [gptj](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp))        | GPTJ             | yes                      | no                        | no                                | no                   |
+| [mpt](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp))         | MPT     | yes                      | no                        | no                                | no                   |
+| [replit](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp))        | Replit             | yes                      | no                        | no                                | no                   |
+| [gptneox](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp))        | GPT NeoX, RedPajama, StableLM             | yes                      | no                        | no                                | no                   |
+| [starcoder](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp))        | Starcoder             | yes                      | no                        | no                                | no                   |
+| [bloomz](https://github.com/NouamaneTazi/bloomz.cpp) ([binding](https://github.com/go-skynet/bloomz.cpp))       | Bloom                 | yes                      | no                        | no                                | no                   |
+| [rwkv](https://github.com/saharNooby/rwkv.cpp) ([binding](https://github.com/donomii/go-rw))       | rwkv                 | yes                      | no                        | no                                | yes                   |
+| [bert](https://github.com/skeskinen/bert.cpp) ([binding](https://github.com/go-skynet/go-bert.cpp) | bert                  | no                       | no                  | yes                               | no                   |    
+| [whisper](https://github.com/ggerganov/whisper.cpp)         | whisper               | no                       | Audio                 | no                                | no                   |  
+| [stablediffusion](https://github.com/EdVince/Stable-Diffusion-NCNN) ([binding](https://github.com/mudler/go-stable-diffusion))        | stablediffusion               | no                       | Image                 | no                                | no                   | 
+</details>
+
 ## Usage
 
 > `LocalAI` comes by default as a container image. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
 
-The easiest way to run LocalAI is by using `docker-compose`:
+The easiest way to run LocalAI is by using `docker-compose` (to build locally, see [building LocalAI](https://github.com/go-skynet/LocalAI/tree/master#setup)):
 
 ```bash
 
@@ -108,7 +167,9 @@ cp your-model.bin models/
 # vim .env
 
 # start with docker-compose
-docker-compose up -d --build
+docker-compose up -d --pull always
+# or you can build the images with:
+# docker-compose up -d --build
 
 # Now API is accessible at localhost:8080
 curl http://localhost:8080/v1/models
@@ -144,8 +205,9 @@ cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
 # vim .env
 
 # start with docker-compose
-docker-compose up -d --build
-
+docker-compose up -d --pull always
+# or you can build the images with:
+# docker-compose up -d --build
 # Now API is accessible at localhost:8080
 curl http://localhost:8080/v1/models
 # {"object":"list","data":[{"id":"ggml-gpt4all-j","object":"model"}]}
@@ -160,10 +222,30 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
 ```
 </details>
 
-To build locally, run `make build` (see below).
+### Advanced: prepare models using the API
+
+Instead of installing models manually, you can use the LocalAI API endpoints and a model definition to install programmatically via API models in runtime.
+
+<details>
+
+A curated collection of model files is in the [model-gallery](https://github.com/go-skynet/model-gallery) (work in progress!).
+
+To install for example `gpt4all-j`, you can send a POST call to the `/models/apply` endpoint with the model definition url (`url`) and the name of the model should have in LocalAI (`name`, optional):
+
+```
+curl http://localhost:8080/models/apply -H "Content-Type: application/json" -d '{
+     "url": "https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml",
+     "name": "gpt4all-j"
+   }'  
+```
+
+</details>
+
 
 ### Other examples
 
+![Screenshot from 2023-04-26 23-59-55](https://user-images.githubusercontent.com/2420543/234715439-98d12e03-d3ce-4f94-ab54-2b256808e05e.png)
+
 To see other examples on how to integrate with other projects for instance for question answering or for using it with chatbot-ui, see: [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/).
 
 
@@ -254,6 +336,73 @@ Specifying a `config-file` via CLI allows to declare models in a single file as
 
 See also [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui) as an example on how to use config files.
 
+### Full config model file reference
+
+```yaml
+name: gpt-3.5-turbo
+
+# Default model parameters
+parameters:
+  # Relative to the models path
+  model: ggml-gpt4all-j
+  # temperature
+  temperature: 0.3
+  # all the OpenAI request options here..
+  top_k: 
+  top_p: 
+  max_tokens:
+  batch:
+  f16: true
+  ignore_eos: true
+  n_keep: 10
+  seed: 
+  mode: 
+  step: 
+
+# Default context size
+context_size: 512
+# Default number of threads
+threads: 10
+# Define a backend (optional). By default it will try to guess the backend the first time the model is interacted with.
+backend: gptj # available: llama, stablelm, gpt2, gptj rwkv
+# stopwords (if supported by the backend)
+stopwords:
+- "HUMAN:"
+- "### Response:"
+# string to trim space to
+trimspace:
+- string
+# Strings to cut from the response
+cutstrings:
+- "string"
+# define chat roles
+roles:
+  user: "HUMAN:"
+  system: "GPT:"
+  assistant: "ASSISTANT:"
+template:
+  # template file ".tmpl" with the prompt template to use by default on the endpoint call. Note there is no extension in the files
+  completion: completion
+  chat: ggml-gpt4all-j
+  edit: edit_template
+
+# Enable F16 if backend supports it
+f16: true
+# Enable debugging
+debug: true
+# Enable embeddings
+embeddings: true
+# Mirostat configuration (llama.cpp only)
+mirostat_eta: 0.8
+mirostat_tau: 0.9
+mirostat: 1
+
+# GPU Layers (only used when built with cublas)
+gpu_layers: 22
+
+# Directory used to store additional assets (used for stablediffusion)
+asset_dir: ""
+```
 </details>
 
 ### Prompt templates 
@@ -311,6 +460,8 @@ local-ai --models-path <model_path> [--address <address>] [--threads <num_thread
 | context-size | CONTEXT_SIZE         | 512           | Default token context size. |
 | debug | DEBUG         | false           | Enable debug mode. |
 | config-file | CONFIG_FILE         | empty           | Path to a LocalAI config file. |
+| upload_limit | UPLOAD_LIMIT         | 5MB           | Upload limit for whisper. |
+| image-path | IMAGE_PATH         | empty           | Image directory to store and serve processed images. |
 
 </details>
 
@@ -339,6 +490,8 @@ You should see:
 └───────────────────────────────────────────────────┘ 
 ```
 
+Note: the binary inside the image is rebuild at the start of the container to enable CPU optimizations for the execution environment, you can set the environment variable `REBUILD` to `false` to prevent this behavior.
+
 </details>
 
 ### Build locally
@@ -403,6 +556,50 @@ curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/jso
 
 </details>
 
+### Build with Image generation support
+
+<details>
+
+**Requirements**: OpenCV, Gomp
+
+Image generation is experimental and requires `GO_TAGS=stablediffusion` to be set during build:
+
+```
+make GO_TAGS=stablediffusion rebuild
+```
+
+</details>
+
+### Accelleration
+
+#### OpenBLAS
+
+<details>
+
+Requirements: OpenBLAS
+
+```
+make BUILD_TYPE=openblas build
+```
+
+</details>
+
+#### CuBLAS
+
+<details>
+
+Requirement: Nvidia CUDA toolkit
+
+Note: CuBLAS support is experimental, and has not been tested on real HW. please report any issues you find!
+
+```
+make BUILD_TYPE=cublas build
+```
+
+More informations available in the upstream PR: https://github.com/ggerganov/llama.cpp/pull/1412
+
+</details>
+
 ### Windows compatibility
 
 It should work, however you need to make sure you give enough resources to the container. See https://github.com/go-skynet/LocalAI/issues/2
@@ -412,47 +609,69 @@ It should work, however you need to make sure you give enough resources to the c
 LocalAI can be installed inside Kubernetes with helm.
 
 <details>
+By default, the helm chart will install LocalAI instance using the ggml-gpt4all-j model without persistent storage.
 
 1. Add the helm repo
     ```bash
     helm repo add go-skynet https://go-skynet.github.io/helm-charts/
     ```
-1. Create a values files with your settings:
-```bash
-cat <<EOF > values.yaml
+2. Install the helm chart:
+    ```bash
+    helm repo update
+    helm install local-ai go-skynet/local-ai -f values.yaml
+    ```
+> **Note:** For further configuration options, see the [helm chart repository on GitHub](https://github.com/go-skynet/helm-charts).
+### Example values
+Deploy a single LocalAI pod with 6GB of persistent storage serving up a `ggml-gpt4all-j` model with custom prompt.
+```yaml
+### values.yaml
+
 deployment:
-  image: quay.io/go-skynet/local-ai:latest
+  # Adjust the number of threads and context size for model inference
   env:
-    threads: 4
-    contextSize: 1024
-    modelsPath: "/models"
-# Optionally create a PVC, mount the PV to the LocalAI Deployment,
-# and download a model to prepopulate the models directory
-modelsVolume:
-  enabled: true
-  url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
-  pvc:
+    threads: 14
+    contextSize: 512
+
+# Set the pod requests/limits
+resources:
+  limits:
+    cpu: 4000m
+    memory: 7000Mi
+  requests:
+    cpu: 100m
+    memory: 6000Mi
+
+# Add a custom prompt template for the ggml-gpt4all-j model
+promptTemplates:
+  # The name of the model this template belongs to
+  ggml-gpt4all-j.bin.tmpl: |
+    This is my custom prompt template...
+    ### Prompt:
+    {{.Input}}
+    ### Response:
+
+# Model configuration
+models:
+  # Don't re-download models on pod creation
+  forceDownload: false
+
+  # List of models to download and serve
+  list:
+    - url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
+       # Optional basic HTTP authentication
+      basicAuth: base64EncodedCredentials
+  
+  # Enable 6Gb of persistent storage models and prompt templates
+  persistence:
+    enabled: true
     size: 6Gi
-    accessModes:
-    - ReadWriteOnce
-  auth:
-    # Optional value for HTTP basic access authentication header
-    basic: "" # 'username:password' base64 encoded
+
 service:
   type: ClusterIP
   annotations: {}
   # If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
   # service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
-EOF
 ```
-3. Install the helm chart:
-```bash
-helm repo update
-helm install local-ai go-skynet/local-ai -f values.yaml
-```
-
-Check out also the [helm chart repository on GitHub](https://github.com/go-skynet/helm-charts).
-
 </details>
 
 ## Supported OpenAI API endpoints
@@ -529,6 +748,232 @@ curl http://localhost:8080/v1/models
 
 </details>
 
+### Embeddings
+
+OpenAI docs: https://platform.openai.com/docs/api-reference/embeddings
+
+<details>
+
+The embedding endpoint is experimental and enabled only if the model is configured with `embeddings: true` in its `yaml` file, for example:
+
+```yaml
+name: text-embedding-ada-002
+parameters:
+  model: bert
+embeddings: true
+backend: "bert-embeddings"
+```
+
+There is an example available [here](https://github.com/go-skynet/LocalAI/tree/master/examples/query_data/).
+
+Note: embeddings is supported only with `llama.cpp` compatible models and `bert` models. bert is more performant and available independently of the LLM model.
+
+</details>
+
+### Transcriptions endpoint
+
+<details>
+
+Note: requires ffmpeg in the container image, which is currently not shipped due to licensing issues. We will prepare separated images with ffmpeg. (stay tuned!)
+
+Download one of the models from https://huggingface.co/ggerganov/whisper.cpp/tree/main in the `models` folder, and create a YAML file for your model:
+
+```yaml
+name: whisper-1
+backend: whisper
+parameters:
+  model: whisper-en
+```
+
+The transcriptions endpoint then can be tested like so:
+```
+wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
+
+curl http://localhost:8080/v1/audio/transcriptions -H "Content-Type: multipart/form-data" -F file="@$PWD/gb1.ogg" -F model="whisper-1"                                                     
+
+{"text":"My fellow Americans, this day has brought terrible news and great sadness to our country.At nine o'clock this morning, Mission Control in Houston lost contact with our Space ShuttleColumbia.A short time later, debris was seen falling from the skies above Texas.The Columbia's lost.There are no survivors.One board was a crew of seven.Colonel Rick Husband, Lieutenant Colonel Michael Anderson, Commander Laurel Clark, Captain DavidBrown, Commander William McCool, Dr. Kultna Shavla, and Elon Ramon, a colonel in the IsraeliAir Force.These men and women assumed great risk in the service to all humanity.In an age when spaceflight has come to seem almost routine, it is easy to overlook thedangers of travel by rocket and the difficulties of navigating the fierce outer atmosphere ofthe Earth.These astronauts knew the dangers, and they faced them willingly, knowing they had a highand noble purpose in life.Because of their courage and daring and idealism, we will miss them all the more.All Americans today are thinking as well of the families of these men and women who havebeen given this sudden shock and grief.You're not alone.Our entire nation agrees with you, and those you loved will always have the respect andgratitude of this country.The cause in which they died will continue.Mankind has led into the darkness beyond our world by the inspiration of discovery andthe longing to understand.Our journey into space will go on.In the skies today, we saw destruction and tragedy.As farther than we can see, there is comfort and hope.In the words of the prophet Isaiah, \"Lift your eyes and look to the heavens who createdall these, he who brings out the starry hosts one by one and calls them each by name.\"Because of his great power and mighty strength, not one of them is missing.The same creator who names the stars also knows the names of the seven souls we mourntoday.The crew of the shuttle Columbia did not return safely to Earth yet we can pray that all aresafely home.May God bless the grieving families and may God continue to bless America.[BLANK_AUDIO]"}
+```
+
+</details>
+  
+### Image generation
+
+OpenAI docs: https://platform.openai.com/docs/api-reference/images/create
+
+LocalAI supports generating images with Stable diffusion, running on CPU.
+
+| mode=0                                                                                                                | mode=1 (winograd/sgemm)                                                                                                                |
+|------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
+| ![test](https://github.com/go-skynet/LocalAI/assets/2420543/7145bdee-4134-45bb-84d4-f11cb08a5638)                      | ![b643343452981](https://github.com/go-skynet/LocalAI/assets/2420543/abf14de1-4f50-4715-aaa4-411d703a942a)          |
+| ![b6441997879](https://github.com/go-skynet/LocalAI/assets/2420543/d50af51c-51b7-4f39-b6c2-bf04c403894c)              | ![winograd2](https://github.com/go-skynet/LocalAI/assets/2420543/1935a69a-ecce-4afc-a099-1ac28cb649b3)                |
+| ![winograd](https://github.com/go-skynet/LocalAI/assets/2420543/1979a8c4-a70d-4602-95ed-642f382f6c6a)                | ![winograd3](https://github.com/go-skynet/LocalAI/assets/2420543/e6d184d4-5002-408f-b564-163986e1bdfb)                |
+
+<details>
+
+To generate an image you can send a POST request to the `/v1/images/generations` endpoint with the instruction as the request body:
+
+```bash
+# 512x512 is supported too
+curl http://localhost:8080/v1/images/generations -H "Content-Type: application/json" -d '{
+            "prompt": "A cute baby sea otter",
+            "size": "256x256" 
+          }'
+```
+
+Available additional parameters: `mode`, `step`.
+
+Note: To set a negative prompt, you can split the prompt with `|`, for instance: `a cute baby sea otter|malformed`.
+
+```bash
+curl http://localhost:8080/v1/images/generations -H "Content-Type: application/json" -d '{
+            "prompt": "floating hair, portrait, ((loli)), ((one girl)), cute face, hidden hands, asymmetrical bangs, beautiful detailed eyes, eye shadow, hair ornament, ribbons, bowties, buttons, pleated skirt, (((masterpiece))), ((best quality)), colorful|((part of the head)), ((((mutated hands and fingers)))), deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, Octane renderer, lowres, bad anatomy, bad hands, text",
+            "size": "256x256"
+          }'
+```
+
+Note: image generator supports images up to 512x512. You can use other tools however to upscale the image, for instance: https://github.com/upscayl/upscayl.
+
+#### Setup
+
+Note: In order to use the `images/generation` endpoint, you need to build LocalAI with `GO_TAGS=stablediffusion`.
+
+1. Create a model file `stablediffusion.yaml` in the models folder:
+
+```yaml
+name: stablediffusion
+backend: stablediffusion
+asset_dir: stablediffusion_assets
+```
+2. Create a `stablediffusion_assets` directory inside your `models` directory
+3. Download the ncnn assets from https://github.com/EdVince/Stable-Diffusion-NCNN#out-of-box and place them in `stablediffusion_assets`.
+
+The models directory should look like the following:
+
+```
+models
+├── stablediffusion_assets
+│   ├── AutoencoderKL-256-256-fp16-opt.param
+│   ├── AutoencoderKL-512-512-fp16-opt.param
+│   ├── AutoencoderKL-base-fp16.param
+│   ├── AutoencoderKL-encoder-512-512-fp16.bin
+│   ├── AutoencoderKL-fp16.bin
+│   ├── FrozenCLIPEmbedder-fp16.bin
+│   ├── FrozenCLIPEmbedder-fp16.param
+│   ├── log_sigmas.bin
+│   ├── tmp-AutoencoderKL-encoder-256-256-fp16.param
+│   ├── UNetModel-256-256-MHA-fp16-opt.param
+│   ├── UNetModel-512-512-MHA-fp16-opt.param
+│   ├── UNetModel-base-MHA-fp16.param
+│   ├── UNetModel-MHA-fp16.bin
+│   └── vocab.txt
+└── stablediffusion.yaml
+```
+
+</details>
+
+## LocalAI API endpoints
+
+Besides the OpenAI endpoints, there are additional LocalAI-only API endpoints.
+
+### Applying a model - `/models/apply`
+
+This endpoint can be used to install a model in runtime. 
+
+<details>
+
+LocalAI will create a batch process that downloads the required files from a model definition and automatically reload itself to include the new model. 
+
+Input: `url`, `name` (optional), `files` (optional)
+
+```bash
+curl http://localhost:8080/models/apply -H "Content-Type: application/json" -d '{
+     "url": "<MODEL_DEFINITION_URL>",
+     "name": "<MODEL_NAME>",
+     "files": [
+        {
+            "uri": "<additional_file>",
+            "sha256": "<additional_file_hash>",
+            "filename": "<additional_file_name>"
+        },
+      "overrides": { "backend": "...", "f16": true }
+     ]
+   }
+```
+
+An optional, list of additional files can be specified to be downloaded within `files`. The `name` allows to override the model name. Finally it is possible to override the model config file with `override`.
+
+Returns an `uuid` and an `url` to follow up the state of the process:
+
+```json
+{ "uuid":"251475c9-f666-11ed-95e0-9a8a4480ac58", "status":"http://localhost:8080/models/jobs/251475c9-f666-11ed-95e0-9a8a4480ac58"}
+```
+
+To see a collection example of curated models definition files, see the [model-gallery](https://github.com/go-skynet/model-gallery).
+
+</details>
+
+### Inquiry model job state `/models/jobs/<uid>`
+
+This endpoint returns the state of the batch job associated to a model
+<details>
+
+This endpoint can be used with the uuid returned by `/models/apply` to check a job state:
+
+```bash
+curl http://localhost:8080/models/jobs/251475c9-f666-11ed-95e0-9a8a4480ac58
+```
+
+Returns a json containing the error, and if the job is being processed:
+
+```json
+{"error":null,"processed":true,"message":"completed"}
+```
+
+</details>
+
+## Clients
+
+OpenAI clients are already compatible with LocalAI by overriding the basePath, or the target URL.
+
+## Javascript
+
+<details> 
+
+https://github.com/openai/openai-node/
+
+```javascript
+import { Configuration, OpenAIApi } from 'openai';
+
+const configuration = new Configuration({
+  basePath: `http://localhost:8080/v1`
+});
+const openai = new OpenAIApi(configuration);
+```
+
+</details>
+
+## Python
+
+<details>
+
+https://github.com/openai/openai-python
+
+Set the `OPENAI_API_BASE` environment variable, or by code:
+
+```python
+import openai
+
+openai.api_base = "http://localhost:8080/v1"
+
+# create a chat completion
+chat_completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello world"}])
+
+# print the completion
+print(completion.choices[0].message.content)
+```
+
+</details>
+
 ## Frequently asked questions
 
 Here are answers to some of the most common questions.
@@ -565,7 +1010,7 @@ Yes! If the client uses OpenAI and supports setting a different base URL to send
 
 <details>
 
-Not currently, as ggml doesn't support GPUs yet: https://github.com/ggerganov/llama.cpp/discussions/915.
+There is partial GPU support, see build instructions above.
 
 </details>
 
@@ -580,7 +1025,7 @@ There is the availability of localai-webui and chatbot-ui in the examples sectio
 
 <details>
 
-AutoGPT currently doesn't allow to set a different API URL, but there is a PR open for it, so this should be possible soon!
+Yes, see the [examples](https://github.com/go-skynet/LocalAI/tree/master/examples/)!
 
 </details>
 
@@ -590,11 +1035,9 @@ Feel free to open up a PR to get your project listed!
 
 - [Kairos](https://github.com/kairos-io/kairos)
 - [k8sgpt](https://github.com/k8sgpt-ai/k8sgpt#running-local-models)
-
-## Blog posts and other articles
-
-- https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65
-- https://kairos.io/docs/examples/localai/
+- [Spark](https://github.com/cedriking/spark)
+- [autogpt4all](https://github.com/aorumbayev/autogpt4all)
+- [Mods](https://github.com/charmbracelet/mods)
 
 ## Short-term roadmap
 
@@ -604,6 +1047,9 @@ Feel free to open up a PR to get your project listed!
 - [x] Multi-model support
 - [x] Have a webUI!
 - [x] Allow configuration of defaults for models.
+- [x] Support for embeddings
+- [x] Support for audio transcription with https://github.com/ggerganov/whisper.cpp
+- [ ] GPU/CUDA support ( https://github.com/go-skynet/LocalAI/issues/69 )
 - [ ] Enable automatic downloading of models from a curated gallery, with only free-licensed models, directly from the webui.
 
 ## Star history
@@ -620,15 +1066,21 @@ MIT
 
 - [go-skynet/go-llama.cpp](https://github.com/go-skynet/go-llama.cpp)
 - [go-skynet/go-gpt4all-j.cpp](https://github.com/go-skynet/go-gpt4all-j.cpp)
-- [go-skynet/go-gpt2.cpp](https://github.com/go-skynet/go-gpt2.cpp)
+- [go-skynet/go-ggml-transformers.cpp](https://github.com/go-skynet/go-ggml-transformers.cpp)
+- [go-skynet/go-bert.cpp](https://github.com/go-skynet/go-bert.cpp)
 - [donomii/go-rwkv.cpp](https://github.com/donomii/go-rwkv.cpp)
 
 ## Acknowledgements
 
+LocalAI couldn't have been built without the help of great software already available from the community. Thank you!
+
 - [llama.cpp](https://github.com/ggerganov/llama.cpp)
 - https://github.com/tatsu-lab/stanford_alpaca
 - https://github.com/cornelk/llama-go for the initial ideas
-- https://github.com/antimatter15/alpaca.cpp for the light model version (this is compatible and tested only with that checkpoint model!)
+- https://github.com/antimatter15/alpaca.cpp
+- https://github.com/EdVince/Stable-Diffusion-NCNN
+- https://github.com/ggerganov/whisper.cpp
+- https://github.com/saharNooby/rwkv.cpp
 
 ## Contributors
 

api/api.go

@@ -3,7 +3,6 @@ package api
 import (
 	"errors"
 
-	model "github.com/go-skynet/LocalAI/pkg/model"
 	"github.com/gofiber/fiber/v2"
 	"github.com/gofiber/fiber/v2/middleware/cors"
 	"github.com/gofiber/fiber/v2/middleware/logger"
@@ -12,15 +11,18 @@ import (
 	"github.com/rs/zerolog/log"
 )
 
-func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16 bool, debug, disableMessage bool) *fiber.App {
+func App(opts ...AppOption) *fiber.App {
+	options := newOptions(opts...)
+
 	zerolog.SetGlobalLevel(zerolog.InfoLevel)
-	if debug {
+	if options.debug {
 		zerolog.SetGlobalLevel(zerolog.DebugLevel)
 	}
 
 	// Return errors as JSON responses
 	app := fiber.New(fiber.Config{
-		DisableStartupMessage: disableMessage,
+		BodyLimit:             options.uploadLimitMB * 1024 * 1024, // this is the default limit of 4MB
+		DisableStartupMessage: options.disableMessage,
 		// Override default error handler
 		ErrorHandler: func(ctx *fiber.Ctx, err error) error {
 			// Status code defaults to 500
@@ -41,51 +43,100 @@ func App(configFile string, loader *model.ModelLoader, threads, ctxSize int, f16
 		},
 	})
 
-	if debug {
+	if options.debug {
 		app.Use(logger.New(logger.Config{
 			Format: "[${ip}]:${port} ${status} - ${method} ${path}\n",
 		}))
 	}
 
-	cm := make(ConfigMerger)
-	if err := cm.LoadConfigs(loader.ModelPath); err != nil {
+	cm := NewConfigMerger()
+	if err := cm.LoadConfigs(options.loader.ModelPath); err != nil {
 		log.Error().Msgf("error loading config files: %s", err.Error())
 	}
 
-	if configFile != "" {
-		if err := cm.LoadConfigFile(configFile); err != nil {
+	if options.configFile != "" {
+		if err := cm.LoadConfigFile(options.configFile); err != nil {
 			log.Error().Msgf("error loading config file: %s", err.Error())
 		}
 	}
 
-	if debug {
-		for k, v := range cm {
-			log.Debug().Msgf("Model: %s (config: %+v)", k, v)
+	if options.debug {
+		for _, v := range cm.ListConfigs() {
+			cfg, _ := cm.GetConfig(v)
+			log.Debug().Msgf("Model: %s (config: %+v)", v, cfg)
 		}
 	}
 	// Default middleware config
 	app.Use(recover.New())
-	app.Use(cors.New())
+
+	if options.preloadJSONModels != "" {
+		if err := ApplyGalleryFromString(options.loader.ModelPath, options.preloadJSONModels, cm); err != nil {
+			return nil
+		}
+	}
+
+	if options.preloadModelsFromPath != "" {
+		if err := ApplyGalleryFromFile(options.loader.ModelPath, options.preloadModelsFromPath, cm); err != nil {
+			return nil
+		}
+	}
+
+	if options.cors {
+		if options.corsAllowOrigins == "" {
+			app.Use(cors.New())
+		} else {
+			app.Use(cors.New(cors.Config{
+				AllowOrigins: options.corsAllowOrigins,
+			}))
+		}
+	}
+
+	// LocalAI API endpoints
+	applier := newGalleryApplier(options.loader.ModelPath)
+	applier.start(options.context, cm)
+	app.Post("/models/apply", applyModelGallery(options.loader.ModelPath, cm, applier.C))
+	app.Get("/models/jobs/:uuid", getOpStatus(applier))
 
 	// openAI compatible API endpoint
-	app.Post("/v1/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/chat/completions", chatEndpoint(cm, debug, loader, threads, ctxSize, f16))
 
-	app.Post("/v1/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/edits", editEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	// chat
+	app.Post("/v1/chat/completions", chatEndpoint(cm, options))
+	app.Post("/chat/completions", chatEndpoint(cm, options))
 
-	app.Post("/v1/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/completions", completionEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	// edit
+	app.Post("/v1/edits", editEndpoint(cm, options))
+	app.Post("/edits", editEndpoint(cm, options))
 
-	app.Post("/v1/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
-	app.Post("/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	// completion
+	app.Post("/v1/completions", completionEndpoint(cm, options))
+	app.Post("/completions", completionEndpoint(cm, options))
 
-	// /v1/engines/{engine_id}/embeddings
+	// embeddings
+	app.Post("/v1/embeddings", embeddingsEndpoint(cm, options))
+	app.Post("/embeddings", embeddingsEndpoint(cm, options))
+	app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, options))
 
-	app.Post("/v1/engines/:model/embeddings", embeddingsEndpoint(cm, debug, loader, threads, ctxSize, f16))
+	// audio
+	app.Post("/v1/audio/transcriptions", transcriptEndpoint(cm, options))
 
-	app.Get("/v1/models", listModels(loader, cm))
-	app.Get("/models", listModels(loader, cm))
+	// images
+	app.Post("/v1/images/generations", imageEndpoint(cm, options))
+
+	if options.imageDir != "" {
+		app.Static("/generated-images", options.imageDir)
+	}
+
+	ok := func(c *fiber.Ctx) error {
+		return c.SendStatus(200)
+	}
+
+	// Kubernetes health checks
+	app.Get("/healthz", ok)
+	app.Get("/readyz", ok)
+
+	// models
+	app.Get("/v1/models", listModels(options.loader, cm))
+	app.Get("/models", listModels(options.loader, cm))
 
 	return app
 }

api/api_test.go

@@ -1,29 +1,204 @@
 package api_test
 
 import (
+	"bytes"
 	"context"
+	"encoding/json"
+	"fmt"
+	"io/ioutil"
+	"net/http"
 	"os"
+	"path/filepath"
+	"runtime"
 
 	. "github.com/go-skynet/LocalAI/api"
 	"github.com/go-skynet/LocalAI/pkg/model"
 	"github.com/gofiber/fiber/v2"
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"
+	"gopkg.in/yaml.v3"
 
 	openaigo "github.com/otiai10/openaigo"
 	"github.com/sashabaranov/go-openai"
 )
 
+type modelApplyRequest struct {
+	URL       string            `json:"url"`
+	Name      string            `json:"name"`
+	Overrides map[string]string `json:"overrides"`
+}
+
+func getModelStatus(url string) (response map[string]interface{}) {
+	// Create the HTTP request
+	resp, err := http.Get(url)
+	if err != nil {
+		fmt.Println("Error creating request:", err)
+		return
+	}
+	defer resp.Body.Close()
+
+	body, err := ioutil.ReadAll(resp.Body)
+	if err != nil {
+		fmt.Println("Error reading response body:", err)
+		return
+	}
+
+	// Unmarshal the response into a map[string]interface{}
+	err = json.Unmarshal(body, &response)
+	if err != nil {
+		fmt.Println("Error unmarshaling JSON response:", err)
+		return
+	}
+	return
+}
+func postModelApplyRequest(url string, request modelApplyRequest) (response map[string]interface{}) {
+
+	//url := "http://localhost:AI/models/apply"
+
+	// Create the request payload
+
+	payload, err := json.Marshal(request)
+	if err != nil {
+		fmt.Println("Error marshaling JSON:", err)
+		return
+	}
+
+	// Create the HTTP request
+	req, err := http.NewRequest("POST", url, bytes.NewBuffer(payload))
+	if err != nil {
+		fmt.Println("Error creating request:", err)
+		return
+	}
+	req.Header.Set("Content-Type", "application/json")
+
+	// Make the request
+	client := &http.Client{}
+	resp, err := client.Do(req)
+	if err != nil {
+		fmt.Println("Error making request:", err)
+		return
+	}
+	defer resp.Body.Close()
+
+	body, err := ioutil.ReadAll(resp.Body)
+	if err != nil {
+		fmt.Println("Error reading response body:", err)
+		return
+	}
+
+	// Unmarshal the response into a map[string]interface{}
+	err = json.Unmarshal(body, &response)
+	if err != nil {
+		fmt.Println("Error unmarshaling JSON response:", err)
+		return
+	}
+	return
+}
+
 var _ = Describe("API test", func() {
 
 	var app *fiber.App
 	var modelLoader *model.ModelLoader
 	var client *openai.Client
 	var client2 *openaigo.Client
+	var c context.Context
+	var cancel context.CancelFunc
+	var tmpdir string
+
+	Context("API with ephemeral models", func() {
+		BeforeEach(func() {
+			var err error
+			tmpdir, err = os.MkdirTemp("", "")
+			Expect(err).ToNot(HaveOccurred())
+
+			modelLoader = model.NewModelLoader(tmpdir)
+			c, cancel = context.WithCancel(context.Background())
+
+			app = App(WithContext(c), WithModelLoader(modelLoader))
+			go app.Listen("127.0.0.1:9090")
+
+			defaultConfig := openai.DefaultConfig("")
+			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
+
+			client2 = openaigo.NewClient("")
+			client2.BaseURL = defaultConfig.BaseURL
+
+			// Wait for API to be ready
+			client = openai.NewClientWithConfig(defaultConfig)
+			Eventually(func() error {
+				_, err := client.ListModels(context.TODO())
+				return err
+			}, "2m").ShouldNot(HaveOccurred())
+		})
+
+		AfterEach(func() {
+			cancel()
+			app.Shutdown()
+			os.RemoveAll(tmpdir)
+		})
+
+		Context("Applying models", func() {
+			It("overrides models", func() {
+				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
+					URL:  "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
+					Name: "bert",
+					Overrides: map[string]string{
+						"backend": "llama",
+					},
+				})
+
+				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
+
+				uuid := response["uuid"].(string)
+
+				Eventually(func() bool {
+					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
+					fmt.Println(response)
+					return response["processed"].(bool)
+				}, "360s").Should(Equal(true))
+
+				dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
+				Expect(err).ToNot(HaveOccurred())
+
+				content := map[string]interface{}{}
+				err = yaml.Unmarshal(dat, &content)
+				Expect(err).ToNot(HaveOccurred())
+				Expect(content["backend"]).To(Equal("llama"))
+			})
+			It("apply models without overrides", func() {
+				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
+					URL:       "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
+					Name:      "bert",
+					Overrides: map[string]string{},
+				})
+
+				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
+
+				uuid := response["uuid"].(string)
+
+				Eventually(func() bool {
+					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
+					fmt.Println(response)
+					return response["processed"].(bool)
+				}, "360s").Should(Equal(true))
+
+				dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
+				Expect(err).ToNot(HaveOccurred())
+
+				content := map[string]interface{}{}
+				err = yaml.Unmarshal(dat, &content)
+				Expect(err).ToNot(HaveOccurred())
+				Expect(content["backend"]).To(Equal("bert-embeddings"))
+			})
+		})
+	})
+
 	Context("API query", func() {
 		BeforeEach(func() {
 			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			app = App("", modelLoader, 1, 512, false, true, true)
+			c, cancel = context.WithCancel(context.Background())
+
+			app = App(WithContext(c), WithModelLoader(modelLoader))
 			go app.Listen("127.0.0.1:9090")
 
 			defaultConfig := openai.DefaultConfig("")
@@ -40,13 +215,13 @@ var _ = Describe("API test", func() {
 			}, "2m").ShouldNot(HaveOccurred())
 		})
 		AfterEach(func() {
+			cancel()
 			app.Shutdown()
 		})
 		It("returns the models list", func() {
 			models, err := client.ListModels(context.TODO())
 			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(3))
-			Expect(models.Models[0].ID).To(Equal("testmodel"))
+			Expect(len(models.Models)).To(Equal(10))
 		})
 		It("can generate completions", func() {
 			resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
@@ -79,15 +254,69 @@ var _ = Describe("API test", func() {
 		It("returns errors", func() {
 			_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
 			Expect(err).To(HaveOccurred())
-			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 5 errors occurred:"))
+			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 12 errors occurred:"))
+		})
+		It("transcribes audio", func() {
+			if runtime.GOOS != "linux" {
+				Skip("test supported only on linux")
+			}
+			resp, err := client.CreateTranscription(
+				context.Background(),
+				openai.AudioRequest{
+					Model:    openai.Whisper1,
+					FilePath: filepath.Join(os.Getenv("TEST_DIR"), "audio.wav"),
+				},
+			)
+			Expect(err).ToNot(HaveOccurred())
+			Expect(resp.Text).To(ContainSubstring("This is the Micro Machine Man presenting"))
 		})
 
+		It("calculate embeddings", func() {
+			if runtime.GOOS != "linux" {
+				Skip("test supported only on linux")
+			}
+			resp, err := client.CreateEmbeddings(
+				context.Background(),
+				openai.EmbeddingRequest{
+					Model: openai.AdaEmbeddingV2,
+					Input: []string{"sun", "cat"},
+				},
+			)
+			Expect(err).ToNot(HaveOccurred())
+			Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
+			Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))
+
+			sunEmbedding := resp.Data[0].Embedding
+			resp2, err := client.CreateEmbeddings(
+				context.Background(),
+				openai.EmbeddingRequest{
+					Model: openai.AdaEmbeddingV2,
+					Input: []string{"sun"},
+				},
+			)
+			Expect(err).ToNot(HaveOccurred())
+			Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
+		})
+
+		Context("backends", func() {
+			It("runs rwkv", func() {
+				if runtime.GOOS != "linux" {
+					Skip("test supported only on linux")
+				}
+				resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "rwkv_test", Prompt: "Count up to five: one, two, three, four,"})
+				Expect(err).ToNot(HaveOccurred())
+				Expect(len(resp.Choices) > 0).To(BeTrue())
+				Expect(resp.Choices[0].Text).To(Equal(" five."))
+			})
+		})
 	})
 
 	Context("Config file", func() {
 		BeforeEach(func() {
 			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			app = App(os.Getenv("CONFIG_FILE"), modelLoader, 1, 512, false, true, true)
+			c, cancel = context.WithCancel(context.Background())
+
+			app = App(WithContext(c), WithModelLoader(modelLoader), WithConfigFile(os.Getenv("CONFIG_FILE")))
 			go app.Listen("127.0.0.1:9090")
 
 			defaultConfig := openai.DefaultConfig("")
@@ -102,14 +331,13 @@ var _ = Describe("API test", func() {
 			}, "2m").ShouldNot(HaveOccurred())
 		})
 		AfterEach(func() {
+			cancel()
 			app.Shutdown()
 		})
 		It("can generate chat completions from config file", func() {
-
 			models, err := client.ListModels(context.TODO())
 			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(5))
-			Expect(models.Models[0].ID).To(Equal("testmodel"))
+			Expect(len(models.Models)).To(Equal(12))
 		})
 		It("can generate chat completions from config file", func() {
 			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
@@ -134,5 +362,6 @@ var _ = Describe("API test", func() {
 			Expect(len(resp.Choices)).To(Equal(1))
 			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
 		})
+
 	})
 })

api/config.go

@@ -7,6 +7,7 @@ import (
 	"os"
 	"path/filepath"
 	"strings"
+	"sync"
 
 	model "github.com/go-skynet/LocalAI/pkg/model"
 	"github.com/gofiber/fiber/v2"
@@ -15,24 +16,30 @@ import (
 )
 
 type Config struct {
-	OpenAIRequest  `yaml:"parameters"`
-	Name           string            `yaml:"name"`
-	StopWords      []string          `yaml:"stopwords"`
-	Cutstrings     []string          `yaml:"cutstrings"`
-	TrimSpace      []string          `yaml:"trimspace"`
-	ContextSize    int               `yaml:"context_size"`
-	F16            bool              `yaml:"f16"`
-	Threads        int               `yaml:"threads"`
-	Debug          bool              `yaml:"debug"`
-	Roles          map[string]string `yaml:"roles"`
-	Embeddings     bool              `yaml:"embeddings"`
-	Backend        string            `yaml:"backend"`
-	TemplateConfig TemplateConfig    `yaml:"template"`
-	MirostatETA    float64           `yaml:"mirostat_eta"`
-	MirostatTAU    float64           `yaml:"mirostat_tau"`
-	Mirostat       int               `yaml:"mirostat"`
+	OpenAIRequest         `yaml:"parameters"`
+	Name                  string            `yaml:"name"`
+	StopWords             []string          `yaml:"stopwords"`
+	Cutstrings            []string          `yaml:"cutstrings"`
+	TrimSpace             []string          `yaml:"trimspace"`
+	ContextSize           int               `yaml:"context_size"`
+	F16                   bool              `yaml:"f16"`
+	Threads               int               `yaml:"threads"`
+	Debug                 bool              `yaml:"debug"`
+	Roles                 map[string]string `yaml:"roles"`
+	Embeddings            bool              `yaml:"embeddings"`
+	Backend               string            `yaml:"backend"`
+	TemplateConfig        TemplateConfig    `yaml:"template"`
+	MirostatETA           float64           `yaml:"mirostat_eta"`
+	MirostatTAU           float64           `yaml:"mirostat_tau"`
+	Mirostat              int               `yaml:"mirostat"`
+	NGPULayers            int               `yaml:"gpu_layers"`
+	ImageGenerationAssets string            `yaml:"asset_dir"`
+
+	PromptCachePath string `yaml:"prompt_cache_path"`
+	PromptCacheAll  bool   `yaml:"prompt_cache_all"`
 
 	PromptStrings, InputStrings []string
+	InputToken                  [][]int
 }
 
 type TemplateConfig struct {
@@ -41,8 +48,16 @@ type TemplateConfig struct {
 	Edit       string `yaml:"edit"`
 }
 
-type ConfigMerger map[string]Config
+type ConfigMerger struct {
+	configs map[string]Config
+	sync.Mutex
+}
 
+func NewConfigMerger() *ConfigMerger {
+	return &ConfigMerger{
+		configs: make(map[string]Config),
+	}
+}
 func ReadConfigFile(file string) ([]*Config, error) {
 	c := &[]*Config{}
 	f, err := os.ReadFile(file)
@@ -70,28 +85,51 @@ func ReadConfig(file string) (*Config, error) {
 }
 
 func (cm ConfigMerger) LoadConfigFile(file string) error {
+	cm.Lock()
+	defer cm.Unlock()
 	c, err := ReadConfigFile(file)
 	if err != nil {
 		return fmt.Errorf("cannot load config file: %w", err)
 	}
 
 	for _, cc := range c {
-		cm[cc.Name] = *cc
+		cm.configs[cc.Name] = *cc
 	}
 	return nil
 }
 
 func (cm ConfigMerger) LoadConfig(file string) error {
+	cm.Lock()
+	defer cm.Unlock()
 	c, err := ReadConfig(file)
 	if err != nil {
 		return fmt.Errorf("cannot read config file: %w", err)
 	}
 
-	cm[c.Name] = *c
+	cm.configs[c.Name] = *c
 	return nil
 }
 
+func (cm ConfigMerger) GetConfig(m string) (Config, bool) {
+	cm.Lock()
+	defer cm.Unlock()
+	v, exists := cm.configs[m]
+	return v, exists
+}
+
+func (cm ConfigMerger) ListConfigs() []string {
+	cm.Lock()
+	defer cm.Unlock()
+	var res []string
+	for k := range cm.configs {
+		res = append(res, k)
+	}
+	return res
+}
+
 func (cm ConfigMerger) LoadConfigs(path string) error {
+	cm.Lock()
+	defer cm.Unlock()
 	files, err := ioutil.ReadDir(path)
 	if err != nil {
 		return err
@@ -104,7 +142,7 @@ func (cm ConfigMerger) LoadConfigs(path string) error {
 		}
 		c, err := ReadConfig(filepath.Join(path, file.Name()))
 		if err == nil {
-			cm[c.Name] = *c
+			cm.configs[c.Name] = *c
 		}
 	}
 
@@ -186,8 +224,15 @@ func updateConfig(config *Config, input *OpenAIRequest) {
 		}
 	case []interface{}:
 		for _, pp := range inputs {
-			if s, ok := pp.(string); ok {
-				config.InputStrings = append(config.InputStrings, s)
+			switch i := pp.(type) {
+			case string:
+				config.InputStrings = append(config.InputStrings, i)
+			case []interface{}:
+				tokens := []int{}
+				for _, ii := range i {
+					tokens = append(tokens, int(ii.(float64)))
+				}
+				config.InputToken = append(config.InputToken, tokens)
 			}
 		}
 	}
@@ -203,12 +248,11 @@ func updateConfig(config *Config, input *OpenAIRequest) {
 		}
 	}
 }
-
-func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
+func readInput(c *fiber.Ctx, loader *model.ModelLoader, randomModel bool) (string, *OpenAIRequest, error) {
 	input := new(OpenAIRequest)
 	// Get input data from the request body
 	if err := c.BodyParser(input); err != nil {
-		return nil, nil, err
+		return "", nil, err
 	}
 
 	modelFile := input.Model
@@ -226,14 +270,14 @@ func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug
 	bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
 
 	// If no model was specified, take the first available
-	if modelFile == "" && !bearerExists {
+	if modelFile == "" && !bearerExists && randomModel {
 		models, _ := loader.ListModels()
 		if len(models) > 0 {
 			modelFile = models[0]
 			log.Debug().Msgf("No model specified, using: %s", modelFile)
 		} else {
 			log.Debug().Msgf("No model specified, returning error")
-			return nil, nil, fmt.Errorf("no model specified")
+			return "", nil, fmt.Errorf("no model specified")
 		}
 	}
 
@@ -242,7 +286,10 @@ func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug
 		log.Debug().Msgf("Using model from bearer token: %s", bearer)
 		modelFile = bearer
 	}
+	return modelFile, input, nil
+}
 
+func readConfig(modelFile string, input *OpenAIRequest, cm *ConfigMerger, loader *model.ModelLoader, debug bool, threads, ctx int, f16 bool) (*Config, *OpenAIRequest, error) {
 	// Load a config file if present after the model name
 	modelConfig := filepath.Join(loader.ModelPath, modelFile+".yaml")
 	if _, err := os.Stat(modelConfig); err == nil {
@@ -252,7 +299,7 @@ func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug
 	}
 
 	var config *Config
-	cfg, exists := cm[modelFile]
+	cfg, exists := cm.GetConfig(modelFile)
 	if !exists {
 		config = &Config{
 			OpenAIRequest: defaultRequest(modelFile),
@@ -277,5 +324,10 @@ func readConfig(cm ConfigMerger, c *fiber.Ctx, loader *model.ModelLoader, debug
 		}
 	}
 
+	// Enforce debug flag if passed from CLI
+	if debug {
+		config.Debug = true
+	}
+
 	return config, input, nil
 }

api/gallery.go

@@ -0,0 +1,233 @@
+package api
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"io/ioutil"
+	"net/http"
+	"net/url"
+	"os"
+	"strings"
+	"sync"
+
+	"github.com/go-skynet/LocalAI/pkg/gallery"
+	"github.com/gofiber/fiber/v2"
+	"github.com/google/uuid"
+	"gopkg.in/yaml.v3"
+)
+
+type galleryOp struct {
+	req ApplyGalleryModelRequest
+	id  string
+}
+
+type galleryOpStatus struct {
+	Error     error  `json:"error"`
+	Processed bool   `json:"processed"`
+	Message   string `json:"message"`
+}
+
+type galleryApplier struct {
+	modelPath string
+	sync.Mutex
+	C        chan galleryOp
+	statuses map[string]*galleryOpStatus
+}
+
+func newGalleryApplier(modelPath string) *galleryApplier {
+	return &galleryApplier{
+		modelPath: modelPath,
+		C:         make(chan galleryOp),
+		statuses:  make(map[string]*galleryOpStatus),
+	}
+}
+
+func applyGallery(modelPath string, req ApplyGalleryModelRequest, cm *ConfigMerger) error {
+	url, err := req.DecodeURL()
+	if err != nil {
+		return err
+	}
+
+	// Send a GET request to the URL
+	response, err := http.Get(url)
+	if err != nil {
+		return err
+	}
+	defer response.Body.Close()
+
+	// Read the response body
+	body, err := ioutil.ReadAll(response.Body)
+	if err != nil {
+		return err
+	}
+
+	// Unmarshal YAML data into a Config struct
+	var config gallery.Config
+	err = yaml.Unmarshal(body, &config)
+	if err != nil {
+		return err
+	}
+
+	config.Files = append(config.Files, req.AdditionalFiles...)
+
+	if err := gallery.Apply(modelPath, req.Name, &config, req.Overrides); err != nil {
+		return err
+	}
+
+	// Reload models
+	return cm.LoadConfigs(modelPath)
+}
+
+func (g *galleryApplier) updatestatus(s string, op *galleryOpStatus) {
+	g.Lock()
+	defer g.Unlock()
+	g.statuses[s] = op
+}
+
+func (g *galleryApplier) getstatus(s string) *galleryOpStatus {
+	g.Lock()
+	defer g.Unlock()
+
+	return g.statuses[s]
+}
+
+func (g *galleryApplier) start(c context.Context, cm *ConfigMerger) {
+	go func() {
+		for {
+			select {
+			case <-c.Done():
+				return
+			case op := <-g.C:
+				g.updatestatus(op.id, &galleryOpStatus{Message: "processing"})
+
+				updateError := func(e error) {
+					g.updatestatus(op.id, &galleryOpStatus{Error: e, Processed: true})
+				}
+
+				if err := applyGallery(g.modelPath, op.req, cm); err != nil {
+					updateError(err)
+					continue
+				}
+
+				g.updatestatus(op.id, &galleryOpStatus{Processed: true, Message: "completed"})
+			}
+		}
+	}()
+}
+
+func ApplyGalleryFromFile(modelPath, s string, cm *ConfigMerger) error {
+	dat, err := os.ReadFile(s)
+	if err != nil {
+		return err
+	}
+	var requests []ApplyGalleryModelRequest
+	err = json.Unmarshal(dat, &requests)
+	if err != nil {
+		return err
+	}
+
+	for _, r := range requests {
+		if err := applyGallery(modelPath, r, cm); err != nil {
+			return err
+		}
+	}
+
+	return nil
+}
+func ApplyGalleryFromString(modelPath, s string, cm *ConfigMerger) error {
+	var requests []ApplyGalleryModelRequest
+	err := json.Unmarshal([]byte(s), &requests)
+	if err != nil {
+		return err
+	}
+
+	for _, r := range requests {
+		if err := applyGallery(modelPath, r, cm); err != nil {
+			return err
+		}
+	}
+
+	return nil
+}
+
+// endpoints
+
+type ApplyGalleryModelRequest struct {
+	URL             string                 `json:"url"`
+	Name            string                 `json:"name"`
+	Overrides       map[string]interface{} `json:"overrides"`
+	AdditionalFiles []gallery.File         `json:"files"`
+}
+
+const (
+	githubURI = "github:"
+)
+
+func (request ApplyGalleryModelRequest) DecodeURL() (string, error) {
+	input := request.URL
+	var rawURL string
+
+	if strings.HasPrefix(input, githubURI) {
+		parts := strings.Split(input, ":")
+		repoParts := strings.Split(parts[1], "@")
+		branch := "main"
+
+		if len(repoParts) > 1 {
+			branch = repoParts[1]
+		}
+
+		repoPath := strings.Split(repoParts[0], "/")
+		org := repoPath[0]
+		project := repoPath[1]
+		projectPath := strings.Join(repoPath[2:], "/")
+
+		rawURL = fmt.Sprintf("https://raw.githubusercontent.com/%s/%s/%s/%s", org, project, branch, projectPath)
+	} else if strings.HasPrefix(input, "http://") || strings.HasPrefix(input, "https://") {
+		// Handle regular URLs
+		u, err := url.Parse(input)
+		if err != nil {
+			return "", fmt.Errorf("invalid URL: %w", err)
+		}
+		rawURL = u.String()
+	} else {
+		return "", fmt.Errorf("invalid URL format")
+	}
+
+	return rawURL, nil
+}
+
+func getOpStatus(g *galleryApplier) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+
+		status := g.getstatus(c.Params("uuid"))
+		if status == nil {
+			return fmt.Errorf("could not find any status for ID")
+		}
+
+		return c.JSON(status)
+	}
+}
+
+func applyModelGallery(modelPath string, cm *ConfigMerger, g chan galleryOp) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+		input := new(ApplyGalleryModelRequest)
+		// Get input data from the request body
+		if err := c.BodyParser(input); err != nil {
+			return err
+		}
+
+		uuid, err := uuid.NewUUID()
+		if err != nil {
+			return err
+		}
+		g <- galleryOp{
+			req: *input,
+			id:  uuid.String(),
+		}
+		return c.JSON(struct {
+			ID        string `json:"uuid"`
+			StatusURL string `json:"status"`
+		}{ID: uuid.String(), StatusURL: c.BaseURL() + "/models/jobs/" + uuid.String()})
+	}
+}

api/gallery_test.go

@@ -0,0 +1,30 @@
+package api_test
+
+import (
+	. "github.com/go-skynet/LocalAI/api"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("Gallery API tests", func() {
+	Context("requests", func() {
+		It("parses github with a branch", func() {
+			req := ApplyGalleryModelRequest{URL: "github:go-skynet/model-gallery/gpt4all-j.yaml@main"}
+			str, err := req.DecodeURL()
+			Expect(err).ToNot(HaveOccurred())
+			Expect(str).To(Equal("https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml"))
+		})
+		It("parses github without a branch", func() {
+			req := ApplyGalleryModelRequest{URL: "github:go-skynet/model-gallery/gpt4all-j.yaml"}
+			str, err := req.DecodeURL()
+			Expect(err).ToNot(HaveOccurred())
+			Expect(str).To(Equal("https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml"))
+		})
+		It("parses URLS", func() {
+			req := ApplyGalleryModelRequest{URL: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml"}
+			str, err := req.DecodeURL()
+			Expect(err).ToNot(HaveOccurred())
+			Expect(str).To(Equal("https://raw.githubusercontent.com/go-skynet/model-gallery/main/gpt4all-j.yaml"))
+		})
+	})
+})

api/openai.go

@@ -3,11 +3,22 @@ package api
 import (
 	"bufio"
 	"bytes"
+	"encoding/base64"
 	"encoding/json"
 	"fmt"
+	"io"
+	"io/ioutil"
+	"net/http"
+	"os"
+	"path"
+	"path/filepath"
+	"strconv"
 	"strings"
 
+	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
 	model "github.com/go-skynet/LocalAI/pkg/model"
+	whisperutil "github.com/go-skynet/LocalAI/pkg/whisper"
+	llama "github.com/go-skynet/go-llama.cpp"
 	"github.com/gofiber/fiber/v2"
 	"github.com/rs/zerolog/log"
 	"github.com/valyala/fasthttp"
@@ -35,6 +46,10 @@ type Item struct {
 	Embedding []float32 `json:"embedding"`
 	Index     int       `json:"index"`
 	Object    string    `json:"object,omitempty"`
+
+	// Images
+	URL     string `json:"url,omitempty"`
+	B64JSON string `json:"b64_json,omitempty"`
 }
 
 type OpenAIResponse struct {
@@ -69,7 +84,14 @@ type OpenAIModel struct {
 type OpenAIRequest struct {
 	Model string `json:"model" yaml:"model"`
 
-	// Prompt is read only by completion API calls
+	// whisper
+	File     string `json:"file" validate:"required"`
+	Language string `json:"language"`
+	//whisper/image
+	ResponseFormat string `json:"response_format"`
+	// image
+	Size string `json:"size"`
+	// Prompt is read only by completion/image API calls
 	Prompt interface{} `json:"prompt" yaml:"prompt"`
 
 	// Edit endpoint
@@ -103,6 +125,10 @@ type OpenAIRequest struct {
 	Mirostat    int     `json:"mirostat" yaml:"mirostat"`
 
 	Seed int `json:"seed" yaml:"seed"`
+
+	// Image (not supported by OpenAI)
+	Mode int `json:"mode"`
+	Step int `json:"step"`
 }
 
 func defaultRequest(modelFile string) OpenAIRequest {
@@ -116,9 +142,15 @@ func defaultRequest(modelFile string) OpenAIRequest {
 }
 
 // https://platform.openai.com/docs/api-reference/completions
-func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func completionEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
+
+		model, input, err := readInput(c, o.loader, true)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+
+		config, input, err := readConfig(model, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -134,7 +166,7 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
 		var result []Choice
 		for _, i := range config.PromptStrings {
 			// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-			templatedInput, err := loader.TemplatePrefix(templateFile, struct {
+			templatedInput, err := o.loader.TemplatePrefix(templateFile, struct {
 				Input string
 			}{Input: i})
 			if err == nil {
@@ -142,7 +174,7 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
 				log.Debug().Msgf("Template found, input modified to: %s", i)
 			}
 
-			r, err := ComputeChoices(i, input, config, loader, func(s string, c *[]Choice) {
+			r, err := ComputeChoices(i, input, config, o.loader, func(s string, c *[]Choice) {
 				*c = append(*c, Choice{Text: s})
 			}, nil)
 			if err != nil {
@@ -167,9 +199,14 @@ func completionEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
 }
 
 // https://platform.openai.com/docs/api-reference/embeddings
-func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func embeddingsEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
+		model, input, err := readInput(c, o.loader, true)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+
+		config, input, err := readConfig(model, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -177,10 +214,23 @@ func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
 		log.Debug().Msgf("Parameter Config: %+v", config)
 		items := []Item{}
 
-		for i, s := range config.InputStrings {
-
+		for i, s := range config.InputToken {
 			// get the model function to call for the result
-			embedFn, err := ModelEmbedding(s, loader, *config)
+			embedFn, err := ModelEmbedding("", s, o.loader, *config)
+			if err != nil {
+				return err
+			}
+
+			embeddings, err := embedFn()
+			if err != nil {
+				return err
+			}
+			items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
+		}
+
+		for i, s := range config.InputStrings {
+			// get the model function to call for the result
+			embedFn, err := ModelEmbedding(s, []int{}, o.loader, *config)
 			if err != nil {
 				return err
 			}
@@ -206,13 +256,20 @@ func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
 	}
 }
 
-func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func chatEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 
 	process := func(s string, req *OpenAIRequest, config *Config, loader *model.ModelLoader, responses chan OpenAIResponse) {
+		initialMessage := OpenAIResponse{
+			Model:   req.Model, // we have to return what the user sent here, due to OpenAI spec.
+			Choices: []Choice{{Delta: &Message{Role: "assistant"}}},
+			Object:  "chat.completion.chunk",
+		}
+		responses <- initialMessage
+
 		ComputeChoices(s, req, config, loader, func(s string, c *[]Choice) {}, func(s string) bool {
 			resp := OpenAIResponse{
 				Model:   req.Model, // we have to return what the user sent here, due to OpenAI spec.
-				Choices: []Choice{{Delta: &Message{Role: "assistant", Content: s}}},
+				Choices: []Choice{{Delta: &Message{Content: s}}},
 				Object:  "chat.completion.chunk",
 			}
 			log.Debug().Msgf("Sending goroutine: %s", s)
@@ -223,7 +280,12 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 		close(responses)
 	}
 	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
+		model, input, err := readInput(c, o.loader, true)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+
+		config, input, err := readConfig(model, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -234,12 +296,14 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 
 		mess := []string{}
 		for _, i := range input.Messages {
+			var content string
 			r := config.Roles[i.Role]
-			if r == "" {
-				r = i.Role
+			if r != "" {
+				content = fmt.Sprint(r, " ", i.Content)
+			} else {
+				content = i.Content
 			}
 
-			content := fmt.Sprint(r, " ", i.Content)
 			mess = append(mess, content)
 		}
 
@@ -262,7 +326,7 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 		}
 
 		// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-		templatedInput, err := loader.TemplatePrefix(templateFile, struct {
+		templatedInput, err := o.loader.TemplatePrefix(templateFile, struct {
 			Input string
 		}{Input: predInput})
 		if err == nil {
@@ -273,7 +337,7 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 		if input.Stream {
 			responses := make(chan OpenAIResponse)
 
-			go process(predInput, input, config, loader, responses)
+			go process(predInput, input, config, o.loader, responses)
 
 			c.Context().SetBodyStreamWriter(fasthttp.StreamWriter(func(w *bufio.Writer) {
 
@@ -282,13 +346,11 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 					enc := json.NewEncoder(&buf)
 					enc.Encode(ev)
 
-					fmt.Fprintf(w, "event: data\n\n")
-					fmt.Fprintf(w, "data: %v\n\n", buf.String())
 					log.Debug().Msgf("Sending chunk: %s", buf.String())
+					fmt.Fprintf(w, "data: %v\n", buf.String())
 					w.Flush()
 				}
 
-				w.WriteString("event: data\n\n")
 				resp := &OpenAIResponse{
 					Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
 					Choices: []Choice{{FinishReason: "stop"}},
@@ -296,12 +358,13 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 				respData, _ := json.Marshal(resp)
 
 				w.WriteString(fmt.Sprintf("data: %s\n\n", respData))
+				w.WriteString("data: [DONE]\n\n")
 				w.Flush()
 			}))
 			return nil
 		}
 
-		result, err := ComputeChoices(predInput, input, config, loader, func(s string, c *[]Choice) {
+		result, err := ComputeChoices(predInput, input, config, o.loader, func(s string, c *[]Choice) {
 			*c = append(*c, Choice{Message: &Message{Role: "assistant", Content: s}})
 		}, nil)
 		if err != nil {
@@ -321,9 +384,14 @@ func chatEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 	}
 }
 
-func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool) func(c *fiber.Ctx) error {
+func editEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
-		config, input, err := readConfig(cm, c, loader, debug, threads, ctx, f16)
+		model, input, err := readInput(c, o.loader, true)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+
+		config, input, err := readConfig(model, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
 		if err != nil {
 			return fmt.Errorf("failed reading parameters from request:%w", err)
 		}
@@ -339,7 +407,7 @@ func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 		var result []Choice
 		for _, i := range config.InputStrings {
 			// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-			templatedInput, err := loader.TemplatePrefix(templateFile, struct {
+			templatedInput, err := o.loader.TemplatePrefix(templateFile, struct {
 				Input       string
 				Instruction string
 			}{Input: i})
@@ -348,7 +416,7 @@ func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 				log.Debug().Msgf("Template found, input modified to: %s", i)
 			}
 
-			r, err := ComputeChoices(i, input, config, loader, func(s string, c *[]Choice) {
+			r, err := ComputeChoices(i, input, config, o.loader, func(s string, c *[]Choice) {
 				*c = append(*c, Choice{Text: s})
 			}, nil)
 			if err != nil {
@@ -372,7 +440,214 @@ func editEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader, thread
 	}
 }
 
-func listModels(loader *model.ModelLoader, cm ConfigMerger) func(ctx *fiber.Ctx) error {
+// https://platform.openai.com/docs/api-reference/images/create
+
+/*
+*
+
+	curl http://localhost:8080/v1/images/generations \
+	  -H "Content-Type: application/json" \
+	  -d '{
+	    "prompt": "A cute baby sea otter",
+	    "n": 1,
+	    "size": "512x512"
+	  }'
+
+*
+*/
+func imageEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+		m, input, err := readInput(c, o.loader, false)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+
+		if m == "" {
+			m = model.StableDiffusionBackend
+		}
+		log.Debug().Msgf("Loading model: %+v", m)
+
+		config, input, err := readConfig(m, input, cm, o.loader, o.debug, 0, 0, false)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+
+		log.Debug().Msgf("Parameter Config: %+v", config)
+
+		// XXX: Only stablediffusion is supported for now
+		if config.Backend == "" {
+			config.Backend = model.StableDiffusionBackend
+		}
+
+		sizeParts := strings.Split(input.Size, "x")
+		if len(sizeParts) != 2 {
+			return fmt.Errorf("Invalid value for 'size'")
+		}
+		width, err := strconv.Atoi(sizeParts[0])
+		if err != nil {
+			return fmt.Errorf("Invalid value for 'size'")
+		}
+		height, err := strconv.Atoi(sizeParts[1])
+		if err != nil {
+			return fmt.Errorf("Invalid value for 'size'")
+		}
+
+		b64JSON := false
+		if input.ResponseFormat == "b64_json" {
+			b64JSON = true
+		}
+
+		var result []Item
+		for _, i := range config.PromptStrings {
+			n := input.N
+			if input.N == 0 {
+				n = 1
+			}
+			for j := 0; j < n; j++ {
+				prompts := strings.Split(i, "|")
+				positive_prompt := prompts[0]
+				negative_prompt := ""
+				if len(prompts) > 1 {
+					negative_prompt = prompts[1]
+				}
+
+				mode := 0
+				step := 15
+
+				if input.Mode != 0 {
+					mode = input.Mode
+				}
+
+				if input.Step != 0 {
+					step = input.Step
+				}
+
+				tempDir := ""
+				if !b64JSON {
+					tempDir = o.imageDir
+				}
+				// Create a temporary file
+				outputFile, err := ioutil.TempFile(tempDir, "b64")
+				if err != nil {
+					return err
+				}
+				outputFile.Close()
+				output := outputFile.Name() + ".png"
+				// Rename the temporary file
+				err = os.Rename(outputFile.Name(), output)
+				if err != nil {
+					return err
+				}
+
+				baseURL := c.BaseURL()
+
+				fn, err := ImageGeneration(height, width, mode, step, input.Seed, positive_prompt, negative_prompt, output, o.loader, *config)
+				if err != nil {
+					return err
+				}
+				if err := fn(); err != nil {
+					return err
+				}
+
+				item := &Item{}
+
+				if b64JSON {
+					defer os.RemoveAll(output)
+					data, err := os.ReadFile(output)
+					if err != nil {
+						return err
+					}
+					item.B64JSON = base64.StdEncoding.EncodeToString(data)
+				} else {
+					base := filepath.Base(output)
+					item.URL = baseURL + "/generated-images/" + base
+				}
+
+				result = append(result, *item)
+			}
+		}
+
+		resp := &OpenAIResponse{
+			Data: result,
+		}
+
+		jsonResult, _ := json.Marshal(resp)
+		log.Debug().Msgf("Response: %s", jsonResult)
+
+		// Return the prediction in the response body
+		return c.JSON(resp)
+	}
+}
+
+// https://platform.openai.com/docs/api-reference/audio/create
+func transcriptEndpoint(cm *ConfigMerger, o *Option) func(c *fiber.Ctx) error {
+	return func(c *fiber.Ctx) error {
+		m, input, err := readInput(c, o.loader, false)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+
+		config, input, err := readConfig(m, input, cm, o.loader, o.debug, o.threads, o.ctxSize, o.f16)
+		if err != nil {
+			return fmt.Errorf("failed reading parameters from request:%w", err)
+		}
+		// retrieve the file data from the request
+		file, err := c.FormFile("file")
+		if err != nil {
+			return err
+		}
+		f, err := file.Open()
+		if err != nil {
+			return err
+		}
+		defer f.Close()
+
+		dir, err := os.MkdirTemp("", "whisper")
+
+		if err != nil {
+			return err
+		}
+		defer os.RemoveAll(dir)
+
+		dst := filepath.Join(dir, path.Base(file.Filename))
+		dstFile, err := os.Create(dst)
+		if err != nil {
+			return err
+		}
+
+		if _, err := io.Copy(dstFile, f); err != nil {
+			log.Debug().Msgf("Audio file copying error %+v - %+v - err %+v", file.Filename, dst, err)
+			return err
+		}
+
+		log.Debug().Msgf("Audio file copied to: %+v", dst)
+
+		whisperModel, err := o.loader.BackendLoader(model.WhisperBackend, config.Model, []llama.ModelOption{}, uint32(config.Threads))
+		if err != nil {
+			return err
+		}
+
+		if whisperModel == nil {
+			return fmt.Errorf("could not load whisper model")
+		}
+
+		w, ok := whisperModel.(whisper.Model)
+		if !ok {
+			return fmt.Errorf("loader returned non-whisper object")
+		}
+
+		tr, err := whisperutil.Transcript(w, dst, input.Language, uint(config.Threads))
+		if err != nil {
+			return err
+		}
+
+		log.Debug().Msgf("Trascribed: %+v", tr)
+		// TODO: handle different outputs here
+		return c.Status(http.StatusOK).JSON(fiber.Map{"text": tr})
+	}
+}
+
+func listModels(loader *model.ModelLoader, cm *ConfigMerger) func(ctx *fiber.Ctx) error {
 	return func(c *fiber.Ctx) error {
 		models, err := loader.ListModels()
 		if err != nil {
@@ -386,7 +661,7 @@ func listModels(loader *model.ModelLoader, cm ConfigMerger) func(ctx *fiber.Ctx)
 			dataModels = append(dataModels, OpenAIModel{ID: m, Object: "model"})
 		}
 
-		for k := range cm {
+		for _, k := range cm.ListConfigs() {
 			if _, exists := mm[k]; !exists {
 				dataModels = append(dataModels, OpenAIModel{ID: k, Object: "model"})
 			}

api/options.go

@@ -0,0 +1,121 @@
+package api
+
+import (
+	"context"
+
+	model "github.com/go-skynet/LocalAI/pkg/model"
+)
+
+type Option struct {
+	context                         context.Context
+	configFile                      string
+	loader                          *model.ModelLoader
+	uploadLimitMB, threads, ctxSize int
+	f16                             bool
+	debug, disableMessage           bool
+	imageDir                        string
+	cors                            bool
+	preloadJSONModels               string
+	preloadModelsFromPath           string
+	corsAllowOrigins                string
+}
+
+type AppOption func(*Option)
+
+func newOptions(o ...AppOption) *Option {
+	opt := &Option{
+		context:        context.Background(),
+		uploadLimitMB:  15,
+		threads:        1,
+		ctxSize:        512,
+		debug:          true,
+		disableMessage: true,
+	}
+	for _, oo := range o {
+		oo(opt)
+	}
+	return opt
+}
+
+func WithCors(b bool) AppOption {
+	return func(o *Option) {
+		o.cors = b
+	}
+}
+
+func WithCorsAllowOrigins(b string) AppOption {
+	return func(o *Option) {
+		o.corsAllowOrigins = b
+	}
+}
+
+func WithContext(ctx context.Context) AppOption {
+	return func(o *Option) {
+		o.context = ctx
+	}
+}
+
+func WithYAMLConfigPreload(configFile string) AppOption {
+	return func(o *Option) {
+		o.preloadModelsFromPath = configFile
+	}
+}
+
+func WithJSONStringPreload(configFile string) AppOption {
+	return func(o *Option) {
+		o.preloadJSONModels = configFile
+	}
+}
+func WithConfigFile(configFile string) AppOption {
+	return func(o *Option) {
+		o.configFile = configFile
+	}
+}
+
+func WithModelLoader(loader *model.ModelLoader) AppOption {
+	return func(o *Option) {
+		o.loader = loader
+	}
+}
+
+func WithUploadLimitMB(limit int) AppOption {
+	return func(o *Option) {
+		o.uploadLimitMB = limit
+	}
+}
+
+func WithThreads(threads int) AppOption {
+	return func(o *Option) {
+		o.threads = threads
+	}
+}
+
+func WithContextSize(ctxSize int) AppOption {
+	return func(o *Option) {
+		o.ctxSize = ctxSize
+	}
+}
+
+func WithF16(f16 bool) AppOption {
+	return func(o *Option) {
+		o.f16 = f16
+	}
+}
+
+func WithDebug(debug bool) AppOption {
+	return func(o *Option) {
+		o.debug = debug
+	}
+}
+
+func WithDisableMessage(disableMessage bool) AppOption {
+	return func(o *Option) {
+		o.disableMessage = disableMessage
+	}
+}
+
+func WithImageDir(imageDir string) AppOption {
+	return func(o *Option) {
+		o.imageDir = imageDir
+	}
+}

api/prediction.go

@@ -2,15 +2,20 @@ package api
 
 import (
 	"fmt"
+	"os"
+	"path/filepath"
 	"regexp"
 	"strings"
 	"sync"
 
 	"github.com/donomii/go-rwkv.cpp"
 	model "github.com/go-skynet/LocalAI/pkg/model"
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
-	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
+	"github.com/go-skynet/LocalAI/pkg/stablediffusion"
+	"github.com/go-skynet/bloomz.cpp"
+	bert "github.com/go-skynet/go-bert.cpp"
+	transformers "github.com/go-skynet/go-ggml-transformers.cpp"
 	llama "github.com/go-skynet/go-llama.cpp"
+	gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
 )
 
 // mutex still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
@@ -29,10 +34,53 @@ func defaultLLamaOpts(c Config) []llama.ModelOption {
 		llamaOpts = append(llamaOpts, llama.EnableEmbeddings)
 	}
 
+	if c.NGPULayers != 0 {
+		llamaOpts = append(llamaOpts, llama.SetGPULayers(c.NGPULayers))
+	}
+
 	return llamaOpts
 }
 
-func ModelEmbedding(s string, loader *model.ModelLoader, c Config) (func() ([]float32, error), error) {
+func ImageGeneration(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string, loader *model.ModelLoader, c Config) (func() error, error) {
+	if c.Backend != model.StableDiffusionBackend {
+		return nil, fmt.Errorf("endpoint only working with stablediffusion models")
+	}
+	inferenceModel, err := loader.BackendLoader(c.Backend, c.ImageGenerationAssets, []llama.ModelOption{}, uint32(c.Threads))
+	if err != nil {
+		return nil, err
+	}
+
+	var fn func() error
+	switch model := inferenceModel.(type) {
+	case *stablediffusion.StableDiffusion:
+		fn = func() error {
+			return model.GenerateImage(height, width, mode, step, seed, positive_prompt, negative_prompt, dst)
+		}
+
+	default:
+		fn = func() error {
+			return fmt.Errorf("creation of images not supported by the backend")
+		}
+	}
+
+	return func() error {
+		// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
+		mutexMap.Lock()
+		l, ok := mutexes[c.Backend]
+		if !ok {
+			m := &sync.Mutex{}
+			mutexes[c.Backend] = m
+			l = m
+		}
+		mutexMap.Unlock()
+		l.Lock()
+		defer l.Unlock()
+
+		return fn()
+	}, nil
+}
+
+func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config) (func() ([]float32, error), error) {
 	if !c.Embeddings {
 		return nil, fmt.Errorf("endpoint disabled for this model by API configuration")
 	}
@@ -56,9 +104,20 @@ func ModelEmbedding(s string, loader *model.ModelLoader, c Config) (func() ([]fl
 	switch model := inferenceModel.(type) {
 	case *llama.LLama:
 		fn = func() ([]float32, error) {
-			predictOptions := buildLLamaPredictOptions(c)
+			predictOptions := buildLLamaPredictOptions(c, loader.ModelPath)
+			if len(tokens) > 0 {
+				return model.TokenEmbeddings(tokens, predictOptions...)
+			}
 			return model.Embeddings(s, predictOptions...)
 		}
+	// bert embeddings
+	case *bert.Bert:
+		fn = func() ([]float32, error) {
+			if len(tokens) > 0 {
+				return model.TokenEmbeddings(tokens, bert.SetThreads(c.Threads))
+			}
+			return model.Embeddings(s, bert.SetThreads(c.Threads))
+		}
 	default:
 		fn = func() ([]float32, error) {
 			return nil, fmt.Errorf("embeddings not supported by the backend")
@@ -94,7 +153,7 @@ func ModelEmbedding(s string, loader *model.ModelLoader, c Config) (func() ([]fl
 	}, nil
 }
 
-func buildLLamaPredictOptions(c Config) []llama.PredictOption {
+func buildLLamaPredictOptions(c Config, modelPath string) []llama.PredictOption {
 	// Generate the prediction using the language model
 	predictOptions := []llama.PredictOption{
 		llama.SetTemperature(c.Temperature),
@@ -104,6 +163,17 @@ func buildLLamaPredictOptions(c Config) []llama.PredictOption {
 		llama.SetThreads(c.Threads),
 	}
 
+	if c.PromptCacheAll {
+		predictOptions = append(predictOptions, llama.EnablePromptCacheAll)
+	}
+
+	if c.PromptCachePath != "" {
+		// Create parent directory
+		p := filepath.Join(modelPath, c.PromptCachePath)
+		os.MkdirAll(filepath.Dir(p), 0755)
+		predictOptions = append(predictOptions, llama.SetPathPromptCache(p))
+	}
+
 	if c.Mirostat != 0 {
 		predictOptions = append(predictOptions, llama.SetMirostat(c.Mirostat))
 	}
@@ -186,23 +256,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 
 			return response, nil
 		}
-	case *gpt2.StableLM:
+	case *transformers.GPTNeoX:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -210,23 +280,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gpt2.GPT2:
+	case *transformers.Replit:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gpt2.PredictOption{
-				gpt2.SetTemperature(c.Temperature),
-				gpt2.SetTopP(c.TopP),
-				gpt2.SetTopK(c.TopK),
-				gpt2.SetTokens(c.Maxtokens),
-				gpt2.SetThreads(c.Threads),
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gpt2.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gpt2.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -234,23 +304,23 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
-	case *gptj.GPTJ:
+	case *transformers.Starcoder:
 		fn = func() (string, error) {
 			// Generate the prediction using the language model
-			predictOptions := []gptj.PredictOption{
-				gptj.SetTemperature(c.Temperature),
-				gptj.SetTopP(c.TopP),
-				gptj.SetTopK(c.TopK),
-				gptj.SetTokens(c.Maxtokens),
-				gptj.SetThreads(c.Threads),
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
 			}
 
 			if c.Batch != 0 {
-				predictOptions = append(predictOptions, gptj.SetBatch(c.Batch))
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
 			}
 
 			if c.Seed != 0 {
-				predictOptions = append(predictOptions, gptj.SetSeed(c.Seed))
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
 			}
 
 			return model.Predict(
@@ -258,6 +328,152 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				predictOptions...,
 			)
 		}
+	case *transformers.MPT:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *bloomz.Bloomz:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []bloomz.PredictOption{
+				bloomz.SetTemperature(c.Temperature),
+				bloomz.SetTopP(c.TopP),
+				bloomz.SetTopK(c.TopK),
+				bloomz.SetTokens(c.Maxtokens),
+				bloomz.SetThreads(c.Threads),
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, bloomz.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *transformers.GPTJ:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *transformers.Dolly:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *transformers.GPT2:
+		fn = func() (string, error) {
+			// Generate the prediction using the language model
+			predictOptions := []transformers.PredictOption{
+				transformers.SetTemperature(c.Temperature),
+				transformers.SetTopP(c.TopP),
+				transformers.SetTopK(c.TopK),
+				transformers.SetTokens(c.Maxtokens),
+				transformers.SetThreads(c.Threads),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, transformers.SetBatch(c.Batch))
+			}
+
+			if c.Seed != 0 {
+				predictOptions = append(predictOptions, transformers.SetSeed(c.Seed))
+			}
+
+			return model.Predict(
+				s,
+				predictOptions...,
+			)
+		}
+	case *gpt4all.Model:
+		supportStreams = true
+
+		fn = func() (string, error) {
+			if tokenCallback != nil {
+				model.SetTokenCallback(tokenCallback)
+			}
+
+			// Generate the prediction using the language model
+			predictOptions := []gpt4all.PredictOption{
+				gpt4all.SetTemperature(c.Temperature),
+				gpt4all.SetTopP(c.TopP),
+				gpt4all.SetTopK(c.TopK),
+				gpt4all.SetTokens(c.Maxtokens),
+			}
+
+			if c.Batch != 0 {
+				predictOptions = append(predictOptions, gpt4all.SetBatch(c.Batch))
+			}
+
+			str, er := model.Predict(
+				s,
+				predictOptions...,
+			)
+			// Seems that if we don't free the callback explicitly we leave functions registered (that might try to send on closed channels)
+			// For instance otherwise the API returns: {"error":{"code":500,"message":"send on closed channel","type":""}}
+			// after a stream event has occurred
+			model.SetTokenCallback(nil)
+			return str, er
+		}
 	case *llama.LLama:
 		supportStreams = true
 		fn = func() (string, error) {
@@ -266,7 +482,7 @@ func ModelInference(s string, loader *model.ModelLoader, c Config, tokenCallback
 				model.SetTokenCallback(tokenCallback)
 			}
 
-			predictOptions := buildLLamaPredictOptions(c)
+			predictOptions := buildLLamaPredictOptions(c, loader.ModelPath)
 
 			str, er := model.Predict(
 				s,

entrypoint.sh

@@ -2,6 +2,8 @@
 
 cd /build
 
-make build
+if [ "$REBUILD" != "false" ]; then
+	make rebuild
+fi
 
 ./local-ai "$@"

examples/README.md

@@ -4,6 +4,13 @@ Here is a list of projects that can easily be integrated with the LocalAI backen
 
 ### Projects
 
+### AutoGPT
+
+_by [@mudler](https://github.com/mudler)_
+
+This example shows how to use AutoGPT with LocalAI.
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/autoGPT/)
 
 ### Chatbot-UI
 
@@ -57,6 +64,14 @@ A full example on how to run RWKV models with LocalAI
 
 [Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/rwkv/)
 
+### PrivateGPT
+
+_by [@mudler](https://github.com/mudler)_
+
+A full example on how to run PrivateGPT with LocalAI
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/privateGPT/)
+
 ### Slack bot
 
 _by [@mudler](https://github.com/mudler)_
@@ -65,7 +80,7 @@ Run a slack bot which lets you talk directly with a model
 
 [Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/)
 
-### Question answering on documents
+### Question answering on documents with llama-index
 
 _by [@mudler](https://github.com/mudler)_
 
@@ -73,6 +88,22 @@ Shows how to integrate with [Llama-Index](https://gpt-index.readthedocs.io/en/st
 
 [Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/query_data/)
 
+### Question answering on documents with langchain and chroma
+
+_by [@mudler](https://github.com/mudler)_
+
+Shows how to integrate with `Langchain` and `Chroma` to enable question answering on a set of documents.
+
+[Check it out here](https://github.com/go-skynet/LocalAI/tree/master/examples/langchain-chroma/)
+
+### Template for Runpod.io
+
+_by [@fHachenberg](https://github.com/fHachenberg)_
+
+Allows to run any LocalAI-compatible model as a backend on the servers of https://runpod.io
+
+[Check it out here](https://runpod.io/gsc?template=uv9mtqnrd0&ref=984wlcra)
+
 ## Want to contribute?
 
 Create an issue, and put `Example: <description>` in the title! We will post your examples here.

examples/autoGPT/.env

@@ -0,0 +1,5 @@
+OPENAI_API_KEY=sk---anystringhere
+OPENAI_API_BASE=http://api:8080/v1
+# Models to preload at start
+# Here we configure gpt4all as gpt-3.5-turbo and bert as embeddings
+PRELOAD_MODELS=[{"url": "github:go-skynet/model-gallery/gpt4all-j.yaml", "name": "gpt-3.5-turbo"}, { "url": "github:go-skynet/model-gallery/bert-embeddings.yaml", "name": "text-embedding-ada-002"}]

examples/autoGPT/README.md

@@ -0,0 +1,32 @@
+# AutoGPT
+
+Example of integration with [AutoGPT](https://github.com/Significant-Gravitas/Auto-GPT).
+
+## Run
+
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/autoGPT
+
+docker-compose run --rm auto-gpt
+```
+
+Note: The example automatically downloads the `gpt4all` model as it is under a permissive license. The GPT4All model does not seem to be enough to run AutoGPT. WizardLM-7b-uncensored seems to perform better (with `f16: true`).
+
+See the `.env` configuration file to set a different model with the [model-gallery](https://github.com/go-skynet/model-gallery) by editing `PRELOAD_MODELS`.
+
+## Without docker
+
+Run AutoGPT with `OPENAI_API_BASE` pointing to the LocalAI endpoint. If you run it locally for instance:
+
+```
+OPENAI_API_BASE=http://localhost:8080 python ...
+```
+
+Note: you need a model named `gpt-3.5-turbo` and `text-embedding-ada-002`. You can preload those in LocalAI at start by setting in the env:
+
+```
+PRELOAD_MODELS=[{"url": "github:go-skynet/model-gallery/gpt4all-j.yaml", "name": "gpt-3.5-turbo"}, { "url": "github:go-skynet/model-gallery/bert-embeddings.yaml", "name": "text-embedding-ada-002"}]
+```

examples/autoGPT/docker-compose.yaml

@@ -0,0 +1,42 @@
+version: "3.9"
+services:
+  api:
+    image: quay.io/go-skynet/local-ai:latest
+    ports:
+      - 8080:8080
+    env_file:
+      - .env
+    environment:
+      - DEBUG=true
+      - MODELS_PATH=/models
+    volumes:
+      - ./models:/models:cached
+    command: ["/usr/bin/local-ai" ]
+  auto-gpt:
+    image: significantgravitas/auto-gpt
+    depends_on:
+      api:
+        condition: service_healthy
+      redis:
+        condition: service_started
+    env_file:
+      - .env
+    environment:
+      MEMORY_BACKEND: ${MEMORY_BACKEND:-redis}
+      REDIS_HOST: ${REDIS_HOST:-redis}
+    profiles: ["exclude-from-up"]
+    volumes:
+      - ./auto_gpt_workspace:/app/autogpt/auto_gpt_workspace
+      - ./data:/app/data
+      ## allow auto-gpt to write logs to disk
+      - ./logs:/app/logs
+      ## uncomment following lines if you want to make use of these files
+      ## you must have them existing in the same folder as this docker-compose.yml
+      #- type: bind
+      #  source: ./azure.yaml
+      #  target: /app/azure.yaml
+      #- type: bind
+      #  source: ./ai_settings.yaml
+      #  target: /app/ai_settings.yaml
+  redis:
+    image: "redis/redis-stack-server:latest"

examples/chatbot-ui/README.md

@@ -19,7 +19,9 @@ cd LocalAI/examples/chatbot-ui
 wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
 
 # start with docker-compose
-docker-compose up -d --build
+docker-compose up -d --pull always
+# or you can build the images with:
+# docker-compose up -d --build
 ```
 
 ## Pointing chatbot-ui to a separately managed LocalAI service

examples/chatbot-ui/models/gpt-3.5-turbo.yaml

@@ -5,7 +5,6 @@ parameters:
   temperature: 0.2
   top_p: 0.7
 context_size: 1024
-threads: 14
 stopwords:
 - "HUMAN:"
 - "GPT:"

examples/langchain-chroma/.env.example

@@ -0,0 +1,5 @@
+THREADS=4
+CONTEXT_SIZE=512
+MODELS_PATH=/models
+DEBUG=true
+# BUILD_TYPE=generic

examples/langchain-chroma/.gitignore

@@ -0,0 +1,4 @@
+db/
+state_of_the_union.txt
+models/bert
+models/ggml-gpt4all-j

examples/langchain-chroma/README.md

@@ -0,0 +1,63 @@
+# Data query example
+
+This example makes use of [langchain and chroma](https://blog.langchain.dev/langchain-chroma/) to enable question answering on a set of documents.
+
+## Setup
+
+Download the models and start the API:
+
+```bash
+# Clone LocalAI
+git clone https://github.com/go-skynet/LocalAI
+
+cd LocalAI/examples/langchain-chroma
+
+wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O models/bert
+wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
+
+# configure your .env
+# NOTE: ensure that THREADS does not exceed your machine's CPU cores
+mv .env.example .env
+
+# start with docker-compose
+docker-compose up -d --build
+
+# tail the logs & wait until the build completes
+docker logs -f langchain-chroma-api-1
+```
+
+### Python requirements
+
+```
+pip install -r requirements.txt
+```
+
+### Create a storage
+
+In this step we will create a local vector database from our document set, so later we can ask questions on it with the LLM.
+
+Note: **OPENAI_API_KEY** is not required. However the library might fail if no API_KEY is passed by, so an arbitrary string can be used.
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+wget https://raw.githubusercontent.com/hwchase17/chat-your-data/master/state_of_the_union.txt
+python store.py
+```
+
+After it finishes, a directory "db" will be created with the vector index database.
+
+## Query
+
+We can now query the dataset. 
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+python query.py
+# President Trump recently stated during a press conference regarding tax reform legislation that "we're getting rid of all these loopholes." He also mentioned that he wants to simplify the system further through changes such as increasing the standard deduction amount and making other adjustments aimed at reducing taxpayers' overall burden.    
+```
+
+Keep in mind now things are hit or miss!

examples/langchain-chroma/docker-compose.yml

@@ -0,0 +1,15 @@
+version: '3.6'
+
+services:
+  api:
+    image: quay.io/go-skynet/local-ai:latest
+    build:
+      context: ../../
+      dockerfile: Dockerfile
+    ports:
+      - 8080:8080
+    env_file:
+      - ../../.env
+    volumes:
+      - ./models:/models:cached
+    command: ["/usr/bin/local-ai"]

examples/langchain-chroma/models/embeddings.yaml

@@ -0,0 +1,6 @@
+name: text-embedding-ada-002
+parameters:
+  model: bert
+threads: 4
+backend: bert-embeddings
+embeddings: true

examples/langchain-chroma/models/gpt-3.5-turbo.yaml

@@ -0,0 +1,16 @@
+name: gpt-3.5-turbo
+parameters:
+  model: ggml-gpt4all-j
+  top_k: 80
+  temperature: 0.2
+  top_p: 0.7
+context_size: 1024
+stopwords:
+- "HUMAN:"
+- "GPT:"
+roles:
+  user: " "
+  system: " "
+template:
+  completion: completion
+  chat: gpt4all

examples/langchain-chroma/query.py

@@ -0,0 +1,23 @@
+
+import os
+from langchain.vectorstores import Chroma
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.chat_models import ChatOpenAI
+from langchain.chains import RetrievalQA
+from langchain.vectorstores.base import VectorStoreRetriever
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+
+# Load and process the text
+embedding = OpenAIEmbeddings()
+persist_directory = 'db'
+
+# Now we can load the persisted database from disk, and use it as normal. 
+llm = ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path)
+vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)
+retriever = VectorStoreRetriever(vectorstore=vectordb)
+qa = RetrievalQA.from_llm(llm=llm, retriever=retriever)
+
+query = "What the president said about taxes ?"
+print(qa.run(query))
+

examples/langchain-chroma/requirements.txt

@@ -0,0 +1,4 @@
+langchain==0.0.160
+openai==0.27.6
+chromadb==0.3.21
+llama-index==0.6.2

examples/langchain-chroma/store.py

@@ -0,0 +1,25 @@
+
+import os
+from langchain.vectorstores import Chroma
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.document_loaders import TextLoader
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+
+# Load and process the text
+loader = TextLoader('state_of_the_union.txt')
+documents = loader.load()
+
+text_splitter = CharacterTextSplitter(chunk_size=300, chunk_overlap=70)
+texts = text_splitter.split_documents(documents)
+
+# Embed and store the texts
+# Supplying a persist_directory will store the embeddings on disk
+persist_directory = 'db'
+
+embedding = OpenAIEmbeddings(model="text-embedding-ada-002")
+vectordb = Chroma.from_documents(documents=texts, embedding=embedding, persist_directory=persist_directory)
+
+vectordb.persist()
+vectordb = None

examples/langchain-python/README.md

@@ -26,8 +26,11 @@ pip install langchain
 pip install openai
 
 export OPENAI_API_BASE=http://localhost:8080
+# Note: **OPENAI_API_KEY** is not required. However the library might fail if no API_KEY is passed by, so an arbitrary string can be used.
 export OPENAI_API_KEY=sk-
 
 python test.py
 # A good company name for a company that makes colorful socks would be "Colorsocks".
+
+python agent.py
 ```

examples/langchain-python/agent.py

@@ -0,0 +1,44 @@
+## This is a fork/based from https://gist.github.com/wiseman/4a706428eaabf4af1002a07a114f61d6
+
+from io import StringIO
+import sys
+import os
+from typing import Dict, Optional
+
+from langchain.agents import load_tools
+from langchain.agents import initialize_agent
+from langchain.agents.tools import Tool
+from langchain.llms import OpenAI
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+model_name = os.environ.get('MODEL_NAME', 'gpt-3.5-turbo')
+
+class PythonREPL:
+    """Simulates a standalone Python REPL."""
+
+    def __init__(self):
+        pass        
+
+    def run(self, command: str) -> str:
+        """Run command and returns anything printed."""
+        old_stdout = sys.stdout
+        sys.stdout = mystdout = StringIO()
+        try:
+            exec(command, globals())
+            sys.stdout = old_stdout
+            output = mystdout.getvalue()
+        except Exception as e:
+            sys.stdout = old_stdout
+            output = str(e)
+        return output
+
+llm = OpenAI(temperature=0.0, openai_api_base=base_path, model_name=model_name)
+python_repl = Tool(
+        "Python REPL",
+        PythonREPL().run,
+        """A Python shell. Use this to execute python commands. Input should be a valid python command.
+        If you expect output it should be printed out.""",
+    )
+tools = [python_repl]
+agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
+agent.run("What is the 10th fibonacci number?")

examples/langchain/models/gpt-3.5-turbo.yaml

@@ -5,7 +5,6 @@ parameters:
   temperature: 0.2
   top_p: 0.7
 context_size: 1024
-threads: 4
 stopwords:
 - "HUMAN:"
 - "GPT:"

examples/privateGPT/README.md

@@ -0,0 +1,25 @@
+# privateGPT
+
+This example is a re-adaptation of https://github.com/imartinez/privateGPT to work with LocalAI and OpenAI endpoints. We have a fork with the changes required to work with privateGPT here https://github.com/go-skynet/privateGPT ( PR: https://github.com/imartinez/privateGPT/pull/408 ).
+
+Follow the instructions in https://github.com/go-skynet/privateGPT:
+
+```bash
+git clone git@github.com:go-skynet/privateGPT.git
+cd privateGPT
+pip install -r requirements.txt
+```
+
+Rename `example.env` to `.env` and edit the variables appropriately.
+
+This is an example `.env` file for LocalAI:
+
+```
+PERSIST_DIRECTORY=db
+# Set to OpenAI here
+MODEL_TYPE=OpenAI
+EMBEDDINGS_MODEL_NAME=all-MiniLM-L6-v2
+MODEL_N_CTX=1000
+# LocalAI URL
+OPENAI_API_BASE=http://localhost:8080/v1
+```

examples/query_data/README.md

@@ -4,13 +4,15 @@ This example makes use of [Llama-Index](https://gpt-index.readthedocs.io/en/stab
 
 It loosely follows [the quickstart](https://gpt-index.readthedocs.io/en/stable/guides/primer/usage_pattern.html).
 
+Summary of the steps:
+
+- prepare the dataset (and store it into `data`)
+- prepare a vector index database to run queries on
+- run queries
+
 ## Requirements
 
-For this in order to work, you will need a model compatible with the `llama.cpp` backend. This is will not work with gpt4all.
-
-The example uses `WizardLM`. Edit the config files in `models/` accordingly to specify the model you use (change `HERE`).
-
-You will also need a training data set. Copy that over `data`.
+You will need a training data set. Copy that over `data`.
 
 ## Setup
 
@@ -22,13 +24,18 @@ git clone https://github.com/go-skynet/LocalAI
 
 cd LocalAI/examples/query_data
 
-# Copy your models, edit config files accordingly
+wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O models/bert
+wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
 
 # start with docker-compose
 docker-compose up -d --build
 ```
 
-### Create a storage:
+### Create a storage
+
+In this step we will create a local vector database from our document set, so later we can ask questions on it with the LLM.
+
+Note: **OPENAI_API_KEY** is not required. However the library might fail if no API_KEY is passed by, so an arbitrary string can be used.
 
 ```bash
 export OPENAI_API_BASE=http://localhost:8080/v1
@@ -41,9 +48,22 @@ After it finishes, a directory "storage" will be created with the vector index d
 
 ## Query
 
+We can now query the dataset. 
+
 ```bash
 export OPENAI_API_BASE=http://localhost:8080/v1
 export OPENAI_API_KEY=sk-
 
 python query.py
+```
+
+## Update
+
+To update our vector database, run `update.py`
+
+```bash
+export OPENAI_API_BASE=http://localhost:8080/v1
+export OPENAI_API_KEY=sk-
+
+python update.py
 ```

examples/query_data/docker-compose.yml

@@ -4,7 +4,7 @@ services:
   api:
     image: quay.io/go-skynet/local-ai:latest
     build:
-      context: .
+      context: ../../
       dockerfile: Dockerfile
     ports:
       - 8080:8080

examples/query_data/models/embeddings.yaml

@@ -1,18 +1,6 @@
 name: text-embedding-ada-002
 parameters:
-  model: HERE
-  top_k: 80
-  temperature: 0.2
-  top_p: 0.7
-context_size: 1024
+  model: bert
 threads: 14
-stopwords:
-- "HUMAN:"
-- "GPT:"
-roles:
-  user: " "
-  system: " "
+backend: bert-embeddings
 embeddings: true
-template:
-  completion: completion
-  chat: gpt4all

examples/query_data/models/gpt-3.5-turbo.yaml

@@ -1,12 +1,10 @@
 name: gpt-3.5-turbo
 parameters:
-  model: HERE
+  model: ggml-gpt4all-j
   top_k: 80
   temperature: 0.2
   top_p: 0.7
 context_size: 1024
-threads: 14
-embeddings: true
 stopwords:
 - "HUMAN:"
 - "GPT:"
@@ -15,4 +13,4 @@ roles:
   system: " "
 template:
   completion: completion
-  chat: wizardlm
+  chat: gpt4all

examples/query_data/models/wizardlm.tmpl

@@ -1,3 +0,0 @@
-{{.Input}}
-
-### Response:

examples/query_data/query.py

@@ -10,10 +10,10 @@ from llama_index import StorageContext, load_index_from_storage
 base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
 
 # This example uses text-davinci-003 by default; feel free to change if desired
-llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo",openai_api_base=base_path))
+llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
 
 # Configure prompt parameters and initialise helper
-max_input_size = 1024
+max_input_size = 500
 num_output = 256
 max_chunk_overlap = 20
 
@@ -29,5 +29,7 @@ storage_context = StorageContext.from_defaults(persist_dir='./storage')
 index = load_index_from_storage(storage_context,     service_context=service_context,    )
 
 query_engine = index.as_query_engine()
-response = query_engine.query("XXXXXX your question here XXXXX")
-print(response)
+
+data = input("Question: ")
+response = query_engine.query(data)
+print(response)

examples/query_data/store.py

@@ -13,15 +13,15 @@ base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
 llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
 
 # Configure prompt parameters and initialise helper
-max_input_size = 256
-num_output = 256
-max_chunk_overlap = 10
+max_input_size = 400
+num_output = 400
+max_chunk_overlap = 30
 
 prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
 
 # Load documents from the 'data' directory
 documents = SimpleDirectoryReader('data').load_data()
-service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper, chunk_size_limit = 257)
+service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper, chunk_size_limit = 400)
 index = GPTVectorStoreIndex.from_documents(documents, service_context=service_context)
 index.storage_context.persist(persist_dir="./storage")
 

examples/query_data/update.py

@@ -0,0 +1,32 @@
+import os
+
+# Uncomment to specify your OpenAI API key here (local testing only, not in production!), or add corresponding environment variable (recommended)
+# os.environ['OPENAI_API_KEY']= ""
+
+from llama_index import   LLMPredictor, PromptHelper, SimpleDirectoryReader, ServiceContext
+from langchain.llms.openai import OpenAI
+from llama_index import StorageContext, load_index_from_storage
+
+base_path = os.environ.get('OPENAI_API_BASE', 'http://localhost:8080/v1')
+
+# This example uses text-davinci-003 by default; feel free to change if desired
+llm_predictor = LLMPredictor(llm=OpenAI(temperature=0, model_name="gpt-3.5-turbo", openai_api_base=base_path))
+
+# Configure prompt parameters and initialise helper
+max_input_size = 512
+num_output = 256
+max_chunk_overlap = 20
+
+prompt_helper = PromptHelper(max_input_size, num_output, max_chunk_overlap)
+
+# Load documents from the 'data' directory
+service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+
+# rebuild storage context
+storage_context = StorageContext.from_defaults(persist_dir='./storage')
+
+# load index
+index = load_index_from_storage(storage_context,     service_context=service_context,    )
+documents = SimpleDirectoryReader('data').load_data()
+index.refresh(documents)
+index.storage_context.persist(persist_dir="./storage")

examples/rwkv/.gitignore

@@ -0,0 +1,2 @@
+models/rwkv
+models/rwkv.tokenizer.json

examples/rwkv/Dockerfile.build

@@ -1,5 +1,7 @@
 FROM python
 
+RUN apt-get update && apt-get -y install cmake
+
 # convert the model (one-off)
 RUN pip3 install torch numpy
 

examples/rwkv/models/gpt-3.5-turbo.yaml

@@ -6,7 +6,6 @@ parameters:
   max_tokens: 100
   top_p: 0.8
 context_size: 1024
-threads: 14
 backend: "rwkv"
 cutwords:
 - "Bob:.*"

go.mod

@@ -3,20 +3,28 @@ module github.com/go-skynet/LocalAI
 go 1.19
 
 require (
-	github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be
-	github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708
-	github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c
-	github.com/go-skynet/go-llama.cpp v0.0.0-20230505100647-691d479d3675
-	github.com/gofiber/fiber/v2 v2.44.0
+	github.com/donomii/go-rwkv.cpp v0.0.0-20230515123100-6fdd0c338e56
+	github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230527074028-9b926844e3ae
+	github.com/go-audio/wav v1.1.0
+	github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf
+	github.com/go-skynet/go-bert.cpp v0.0.0-20230516063724-cea1ed76a7f4
+	github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230525204055-4f18e5eb7508
+	github.com/go-skynet/go-llama.cpp v0.0.0-20230524233806-6e7e69a1607e
+	github.com/gofiber/fiber/v2 v2.46.0
+	github.com/google/uuid v1.3.0
 	github.com/hashicorp/go-multierror v1.1.1
-	github.com/onsi/ginkgo/v2 v2.9.4
-	github.com/onsi/gomega v1.27.6
+	github.com/imdario/mergo v0.3.16
+	github.com/mudler/go-stable-diffusion v0.0.0-20230516152536-c0748eca3642
+	github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230526132403-a6f3e94458e2
+	github.com/onsi/ginkgo/v2 v2.9.5
+	github.com/onsi/gomega v1.27.7
 	github.com/otiai10/openaigo v1.1.0
 	github.com/rs/zerolog v1.29.1
-	github.com/sashabaranov/go-openai v1.9.3
+	github.com/sashabaranov/go-openai v1.9.4
 	github.com/swaggo/swag v1.16.1
 	github.com/urfave/cli/v2 v2.25.3
 	github.com/valyala/fasthttp v1.47.0
+	gopkg.in/yaml.v2 v2.4.0
 	gopkg.in/yaml.v3 v3.0.1
 )
 
@@ -26,15 +34,17 @@ require (
 	github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578 // indirect
 	github.com/andybalholm/brotli v1.0.5 // indirect
 	github.com/cpuguy83/go-md2man/v2 v2.0.2 // indirect
+	github.com/go-audio/audio v1.0.0 // indirect
+	github.com/go-audio/riff v1.0.0 // indirect
 	github.com/go-logr/logr v1.2.4 // indirect
 	github.com/go-openapi/jsonpointer v0.19.5 // indirect
 	github.com/go-openapi/jsonreference v0.19.6 // indirect
 	github.com/go-openapi/spec v0.20.4 // indirect
 	github.com/go-openapi/swag v0.19.15 // indirect
+	github.com/go-skynet/go-gpt2.cpp v0.0.0-20230523153133-3eb3a32c0874 // indirect
 	github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 // indirect
 	github.com/google/go-cmp v0.5.9 // indirect
 	github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38 // indirect
-	github.com/google/uuid v1.3.0 // indirect
 	github.com/hashicorp/errwrap v1.0.0 // indirect
 	github.com/josharian/intern v1.0.0 // indirect
 	github.com/klauspost/compress v1.16.3 // indirect
@@ -42,6 +52,7 @@ require (
 	github.com/mattn/go-colorable v0.1.13 // indirect
 	github.com/mattn/go-isatty v0.0.18 // indirect
 	github.com/mattn/go-runewidth v0.0.14 // indirect
+	github.com/otiai10/mint v1.5.1 // indirect
 	github.com/philhofer/fwd v1.1.2 // indirect
 	github.com/rivo/uniseg v0.2.0 // indirect
 	github.com/russross/blackfriday/v2 v2.1.0 // indirect
@@ -51,9 +62,8 @@ require (
 	github.com/valyala/bytebufferpool v1.0.0 // indirect
 	github.com/valyala/tcplisten v1.0.0 // indirect
 	github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 // indirect
-	golang.org/x/net v0.9.0 // indirect
-	golang.org/x/sys v0.7.0 // indirect
+	golang.org/x/net v0.10.0 // indirect
+	golang.org/x/sys v0.8.0 // indirect
 	golang.org/x/text v0.9.0 // indirect
-	golang.org/x/tools v0.8.0 // indirect
-	gopkg.in/yaml.v2 v2.4.0 // indirect
+	golang.org/x/tools v0.9.1 // indirect
 )

go.sum

@@ -16,8 +16,22 @@ github.com/creack/pty v1.1.9/go.mod h1:oKZEueFk5CKHvIhNR5MUki03XCEU+Q6VDXinZuGJ3
 github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
 github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
 github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
-github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be h1:3Hic97PY6hcw/SY44RuR7kyONkxd744RFeRrqckzwNQ=
-github.com/donomii/go-rwkv.cpp v0.0.0-20230503112711-af62fcc432be/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230515123100-6fdd0c338e56 h1:s8/MZdicstKi5fn9D9mKGIQ/q6IWCYCk/BM68i8v51w=
+github.com/donomii/go-rwkv.cpp v0.0.0-20230515123100-6fdd0c338e56/go.mod h1:gWy7FIWioqYmYxkaoFyBnaKApeZVrUkHhv9EV9pz4dM=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230520182345-041be06d5881 h1:dafqVivljYk51VLFnnpTXJnfWDe637EobWZ1l8PyEf8=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230520182345-041be06d5881/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230523110439-77eab3fbfe5e h1:4PMorQuoUGAXmIzCtnNOHaasyLokXdgd8jUWwsraFTo=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230523110439-77eab3fbfe5e/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230524181101-5e2b3407ef46 h1:+STJWsBFikYC90LnR8I9gcBdysQn7Jv9Jb44+5WBi68=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230524181101-5e2b3407ef46/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230527074028-9b926844e3ae h1:uzi5myq/qNX9xiKMRF/fW3HfxuEo2WcnTalwg9fe2hM=
+github.com/ggerganov/whisper.cpp/bindings/go v0.0.0-20230527074028-9b926844e3ae/go.mod h1:QIjZ9OktHFG7p+/m3sMvrAJKKdWrr1fZIK0rM6HZlyo=
+github.com/go-audio/audio v1.0.0 h1:zS9vebldgbQqktK4H0lUqWrG8P0NxCJVqcj7ZpNnwd4=
+github.com/go-audio/audio v1.0.0/go.mod h1:6uAu0+H2lHkwdGsAY+j2wHPNPpPoeg5AaEFh9FlA+Zs=
+github.com/go-audio/riff v1.0.0 h1:d8iCGbDvox9BfLagY94fBynxSPHO80LmZCaOsmKxokA=
+github.com/go-audio/riff v1.0.0/go.mod h1:l3cQwc85y79NQFCRB7TiPoNiaijp6q8Z0Uv38rVG498=
+github.com/go-audio/wav v1.1.0 h1:jQgLtbqBzY7G+BM8fXF7AHUk1uHUviWS4X39d5rsL2g=
+github.com/go-audio/wav v1.1.0/go.mod h1:mpe9qfwbScEbkd8uybLuIpTgHyrISw/OTuvjUW2iGtE=
 github.com/go-logr/logr v1.2.4 h1:g01GSCwiDw2xSZfjJ2/T9M+S6pFdcNtFYsp+Y43HYDQ=
 github.com/go-logr/logr v1.2.4/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
 github.com/go-openapi/jsonpointer v0.19.3/go.mod h1:Pl9vOtqEWErmShwVjC8pYs9cog34VGT37dQOVbmoatg=
@@ -30,18 +44,29 @@ github.com/go-openapi/spec v0.20.4/go.mod h1:faYFR1CvsJZ0mNsmsphTMSoRrNV3TEDoAM7
 github.com/go-openapi/swag v0.19.5/go.mod h1:POnQmlKehdgb5mhVOsnJFsivZCEZ/vjK9gh66Z9tfKk=
 github.com/go-openapi/swag v0.19.15 h1:D2NRCBzS9/pEY3gP9Nl8aDqGUcPFrwG2p+CNFrLyrCM=
 github.com/go-openapi/swag v0.19.15/go.mod h1:QYRuS/SOXUCsnplDa677K7+DxSOj6IPNl/eQntq43wQ=
-github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708 h1:cfOi4TWvQ6JsAm9Q1A8I8j9YfNy10bmIfwOiyGyU5wQ=
-github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
-github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c h1:48I7jpLNGiQeBmF0SFVVbREh8vlG0zN13v9LH5ctXis=
-github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230504223241-67ff6a4db244/go.mod h1:LvSQx5QAYBAMpWkbyVFFDiM1Tzj8LP55DvmUM3hbRMY=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230505100647-691d479d3675 h1:plXywr95RghidIHPHl+O/zpcNXenEeS6w/6WftFNr9E=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230505100647-691d479d3675/go.mod h1:LvSQx5QAYBAMpWkbyVFFDiM1Tzj8LP55DvmUM3hbRMY=
+github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf h1:VJfSn8hIDE+K5+h38M3iAyFXrxpRExMKRdTk33UDxsw=
+github.com/go-skynet/bloomz.cpp v0.0.0-20230510223001-e9366e82abdf/go.mod h1:wc0fJ9V04yiYTfgKvE5RUUSRQ5Kzi0Bo4I+U3nNOUuA=
+github.com/go-skynet/go-bert.cpp v0.0.0-20230516063724-cea1ed76a7f4 h1:+3KPDf4Wv1VHOkzAfZnlj9qakLSYggTpm80AswhD/FU=
+github.com/go-skynet/go-bert.cpp v0.0.0-20230516063724-cea1ed76a7f4/go.mod h1:VY0s5KoAI2jRCvQXKuDeEEe8KG7VaWifSNJSk+E1KtY=
+github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230523173010-f89d7c22df6b h1:uKICsAbdRJxMPZ4RXltwOwXPRDO1/d/pdGR3gEEUV9M=
+github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230523173010-f89d7c22df6b/go.mod h1:hjmO5UfipWl6xkPT54acOs9DDto8GPV81IvsBcvRjsA=
+github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230524084634-c4c581f1853c h1:jXUOCh2K4OzRItTtHzdxvkylE9r1szRSleRpXCNvraY=
+github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230524084634-c4c581f1853c/go.mod h1:hjmO5UfipWl6xkPT54acOs9DDto8GPV81IvsBcvRjsA=
+github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230525204055-4f18e5eb7508 h1:pb7wUQlgqbakB4vILBq44iLe5w9bcjAsP7js2iFOWX8=
+github.com/go-skynet/go-ggml-transformers.cpp v0.0.0-20230525204055-4f18e5eb7508/go.mod h1:hjmO5UfipWl6xkPT54acOs9DDto8GPV81IvsBcvRjsA=
+github.com/go-skynet/go-gpt2.cpp v0.0.0-20230523153133-3eb3a32c0874 h1:/6QWh2oarU7iPSpXj/3bLlkKptyxjKTRrNtGUrh8vhI=
+github.com/go-skynet/go-gpt2.cpp v0.0.0-20230523153133-3eb3a32c0874/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230520155239-ccf23adfb278 h1:st4ow9JKy3UuhkwutrbWof2vMFU/YxwBCLYZ1IxJ2Po=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230520155239-ccf23adfb278/go.mod h1:oA0r4BW8ndyjTMGi1tulsNd7sdg3Ql8MaVFuT1zF6ws=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230523103108-dcf8da632bce h1:Mcq9LvYG4msXJvFUeiYI6PGftqmYbOoBxNfjyAAyFB4=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230523103108-dcf8da632bce/go.mod h1:oA0r4BW8ndyjTMGi1tulsNd7sdg3Ql8MaVFuT1zF6ws=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230524233806-6e7e69a1607e h1:zfxPbHj7/hN2F7V12vfxCi4CFsaVO1WohW96OVFtfNw=
+github.com/go-skynet/go-llama.cpp v0.0.0-20230524233806-6e7e69a1607e/go.mod h1:oA0r4BW8ndyjTMGi1tulsNd7sdg3Ql8MaVFuT1zF6ws=
 github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 h1:tfuBGBXKqDEevZMzYi5KSi8KkcZtzBcTgAUUtapy0OI=
 github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572/go.mod h1:9Pwr4B2jHnOSGXyyzV8ROjYa2ojvAY6HCGYYfMoC3Ls=
 github.com/godbus/dbus/v5 v5.0.4/go.mod h1:xhWf0FNVPg57R7Z0UbKHbJfkEywrmjJnf7w5xrFpKfA=
-github.com/gofiber/fiber/v2 v2.44.0 h1:Z90bEvPcJM5GFJnu1py0E1ojoerkyew3iiNJ78MQCM8=
-github.com/gofiber/fiber/v2 v2.44.0/go.mod h1:VTMtb/au8g01iqvHyaCzftuM/xmZgKOZCtFzz6CdV9w=
+github.com/gofiber/fiber/v2 v2.46.0 h1:wkkWotblsGVlLjXj2dpgKQAYHtXumsK/HyFugQM68Ns=
+github.com/gofiber/fiber/v2 v2.46.0/go.mod h1:DNl0/c37WLe0g92U6lx1VMQuxGUQY5V7EIaVoEsUffc=
 github.com/golang/protobuf v1.5.3 h1:KhyjKVUg7Usr/dYsdSqoFveMYd5ko72D+zANwlG1mmg=
 github.com/google/go-cmp v0.5.9 h1:O2Tfq5qg4qc4AmwVlvv0oLiVAGB7enBSJ2x2DqQFi38=
 github.com/google/go-cmp v0.5.9/go.mod h1:17dUlkBOakJ0+DkrSSNjCkIjxS6bF9zb3elmeNGIjoY=
@@ -54,6 +79,10 @@ github.com/hashicorp/errwrap v1.0.0/go.mod h1:YH+1FKiLXxHSkmPseP+kNlulaMuP3n2brv
 github.com/hashicorp/go-multierror v1.1.1 h1:H5DkEtf6CXdFp0N0Em5UCwQpXMWke8IA0+lD48awMYo=
 github.com/hashicorp/go-multierror v1.1.1/go.mod h1:iw975J/qwKPdAO1clOe2L8331t/9/fmwbPZ6JB6eMoM=
 github.com/ianlancetaylor/demangle v0.0.0-20200824232613-28f6c0f3b639/go.mod h1:aSSvb/t6k1mPoxDqO4vJh6VOCGPwU4O0C2/Eqndh1Sc=
+github.com/imdario/mergo v0.3.15 h1:M8XP7IuFNsqUx6VPK2P9OSmsYsI/YFaGil0uD21V3dM=
+github.com/imdario/mergo v0.3.15/go.mod h1:WBLT9ZmE3lPoWsEzCh9LPo3TiwVN+ZKEjmz+hD27ysY=
+github.com/imdario/mergo v0.3.16 h1:wwQJbIsHYGMUyLSPrEq1CT16AhnhNJQ51+4fdHUnCl4=
+github.com/imdario/mergo v0.3.16/go.mod h1:WBLT9ZmE3lPoWsEzCh9LPo3TiwVN+ZKEjmz+hD27ysY=
 github.com/josharian/intern v1.0.0 h1:vlS4z54oSdjm0bgjRigI+G1HpF+tI+9rE5LLzOg8HmY=
 github.com/josharian/intern v1.0.0/go.mod h1:5DoeVV0s6jJacbCEi61lwdGj/aVlrQvzHFFd8Hwg//Y=
 github.com/klauspost/compress v1.16.3 h1:XuJt9zzcnaz6a16/OU53ZjWp/v7/42WcR5t2a0PcNQY=
@@ -76,13 +105,28 @@ github.com/mattn/go-isatty v0.0.18 h1:DOKFKCQ7FNG2L1rbrmstDN4QVRdS89Nkh85u68Uwp9
 github.com/mattn/go-isatty v0.0.18/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
 github.com/mattn/go-runewidth v0.0.14 h1:+xnbZSEeDbOIg5/mE6JF0w6n9duR1l3/WmbinWVwUuU=
 github.com/mattn/go-runewidth v0.0.14/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
+github.com/mudler/go-stable-diffusion v0.0.0-20230516152536-c0748eca3642 h1:KTkh3lOUsGqQyP4v+oa38sPFdrZtNnM4HaxTb3epdYs=
+github.com/mudler/go-stable-diffusion v0.0.0-20230516152536-c0748eca3642/go.mod h1:8ufRkpz/S/9ahkaxzZ5i4WMgO9w4InEhuRoT7vK5Rnw=
 github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e h1:fD57ERR4JtEqsWbfPhv4DMiApHyliiK5xCTNVSPiaAs=
 github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e/go.mod h1:zD1mROLANZcx1PVRCS0qkT7pwLkGfwJo4zjcN/Tysno=
-github.com/onsi/ginkgo/v2 v2.9.4 h1:xR7vG4IXt5RWx6FfIjyAtsoMAtnc3C/rFXBBd2AjZwE=
-github.com/onsi/ginkgo/v2 v2.9.4/go.mod h1:gCQYp2Q+kSoIj7ykSVb9nskRSsR6PUj4AiLywzIhbKM=
-github.com/onsi/gomega v1.27.6 h1:ENqfyGeS5AX/rlXDd/ETokDz93u0YufY1Pgxuy/PvWE=
-github.com/onsi/gomega v1.27.6/go.mod h1:PIQNjfQwkP3aQAH7lf7j87O/5FiNr+ZR8+ipb+qQlhg=
-github.com/otiai10/mint v1.4.1 h1:HOVBfKP1oXIc0wWo9hZ8JLdZtyCPWqjvmFDuVZ0yv2Y=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230522220313-2ce22208a3dd h1:is/rE0YD8oEWcX3fQ+VxoS3fD0LqFEmTxh8XZegYYsA=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230522220313-2ce22208a3dd/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230523222017-b36a52020702 h1:uya1G35AbUfVtG8fu/HuUGTFXpN7n9XuRAAvC1lTr+M=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230523222017-b36a52020702/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230525153421-63f57635d83c h1:mDy1OKHlG9xv1KDMcOVNYQwoYKZSlb5Mu69W3+DNLYI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230525153421-63f57635d83c/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230525202709-afe3870b7a29 h1:hgml/PMZX3M+WigXD4BGy+mbD1oPxYbXJXo16I555Aw=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230525202709-afe3870b7a29/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230525210850-d1ff7132c553 h1:+zQQHEoOaVUT72uLr6OJF+Lj35LR620aeeyrF7K6x5s=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230525210850-d1ff7132c553/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230526132403-a6f3e94458e2 h1:DE++nIPuUGk8pz71PF0BITX+CTF0lv4ZNWv12qCBUVk=
+github.com/nomic-ai/gpt4all/gpt4all-bindings/golang v0.0.0-20230526132403-a6f3e94458e2/go.mod h1:4T3CHXyrt+7FQHXaxULZfPjHbD8/99WuDDJa0YVZARI=
+github.com/onsi/ginkgo/v2 v2.9.5 h1:+6Hr4uxzP4XIUyAkg61dWBw8lb/gc4/X5luuxN/EC+Q=
+github.com/onsi/ginkgo/v2 v2.9.5/go.mod h1:tvAoo1QUJwNEU2ITftXTpR7R1RbCzoZUOs3RonqW57k=
+github.com/onsi/gomega v1.27.7 h1:fVih9JD6ogIiHUN6ePK7HJidyEDpWGVB5mzM7cWNXoU=
+github.com/onsi/gomega v1.27.7/go.mod h1:1p8OOlwo2iUUDsHnOrjE5UKYJ+e3W8eQ3qSlRahPmr4=
+github.com/otiai10/mint v1.5.1 h1:XaPLeE+9vGbuyEHem1JNk3bYc7KKqyI/na0/mLd/Kks=
+github.com/otiai10/mint v1.5.1/go.mod h1:MJm72SBthJjz8qhefc4z1PYEieWmy8Bku7CjcAqyUSM=
 github.com/otiai10/openaigo v1.1.0 h1:zRvGBqZUW5PCMgdkJNsPVTBd8tOLCMTipXE5wD2pdTg=
 github.com/otiai10/openaigo v1.1.0/go.mod h1:792bx6AWTS61weDi2EzKpHHnTF4eDMAlJ5GvAk/mgPg=
 github.com/philhofer/fwd v1.1.1/go.mod h1:gk3iGcWd9+svBvR0sR+KPcfE+RNWozjowpeBVG3ZVNU=
@@ -98,8 +142,8 @@ github.com/rs/zerolog v1.29.1 h1:cO+d60CHkknCbvzEWxP0S9K6KqyTjrCNUy1LdQLCGPc=
 github.com/rs/zerolog v1.29.1/go.mod h1:Le6ESbR7hc+DP6Lt1THiV8CQSdkkNrd3R0XbEgp3ZBU=
 github.com/russross/blackfriday/v2 v2.1.0 h1:JIOH55/0cWyOuilr9/qlrm0BSXldqnqwMsf35Ld67mk=
 github.com/russross/blackfriday/v2 v2.1.0/go.mod h1:+Rmxgy9KzJVeS9/2gXHxylqXiyQDYRxCVz55jmeOWTM=
-github.com/sashabaranov/go-openai v1.9.3 h1:uNak3Rn5pPsKRs9bdT7RqRZEyej/zdZOEI2/8wvrFtM=
-github.com/sashabaranov/go-openai v1.9.3/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
+github.com/sashabaranov/go-openai v1.9.4 h1:KanoCEoowAI45jVXlenMCckutSRr39qOmSi9MyPBfZM=
+github.com/sashabaranov/go-openai v1.9.4/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
 github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 h1:rmMl4fXJhKMNWl+K+r/fq4FbbKI+Ia2m9hYBLm2h4G4=
 github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94/go.mod h1:90zrgN3D/WJsDd1iXHT96alCoN2KJo6/4x1DZC3wZs8=
 github.com/savsgio/gotils v0.0.0-20220530130905-52f3993e8d6d/go.mod h1:Gy+0tqhJvgGlqnTF8CVGP0AaGRjwBtXs/a5PA0Y3+A4=
@@ -108,7 +152,7 @@ github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee/go.mod h1:qwtSXrKuJ
 github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
 github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI=
 github.com/stretchr/testify v1.6.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
-github.com/stretchr/testify v1.7.0 h1:nwc3DEeHmmLAfoZucVR881uASk0Mfjw8xYJ99tb5CcY=
+github.com/stretchr/testify v1.8.1 h1:w7B6lhMri9wdJUVmEZPGGhZzrYTPvgJArz7wNPgYKsk=
 github.com/swaggo/swag v1.16.1 h1:fTNRhKstPKxcnoKsytm4sahr8FaYzUcT7i1/3nd/fBg=
 github.com/swaggo/swag v1.16.1/go.mod h1:9/LMvHycG3NFHfR6LwvikHv5iFvmPADQ359cKikGxto=
 github.com/tinylib/msgp v1.1.6/go.mod h1:75BAfg2hauQhs3qedfdDZmWAPcFMAvJE5b9rGOMufyw=
@@ -141,8 +185,8 @@ golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v
 golang.org/x/net v0.0.0-20210421230115-4e50805a0758/go.mod h1:72T/g9IO56b78aLF+1Kcs5dz7/ng1VjMUvfKvpfy+jM=
 golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c=
 golang.org/x/net v0.3.0/go.mod h1:MBQ8lrhLObU/6UmLb4fmbmk5OcyYmqtbGd/9yIeKjEE=
-golang.org/x/net v0.9.0 h1:aWJ/m6xSmxWBx+V0XRHTlrYrPG56jKsLdTFmsSsCzOM=
-golang.org/x/net v0.9.0/go.mod h1:d48xBJpPfHeWQsugry2m+kC02ZBRGRgulfHnEXEuWns=
+golang.org/x/net v0.10.0 h1:X2//UzNDwYmtCLn7To6G58Wr6f5ahEAQgKNzv9Y951M=
+golang.org/x/net v0.10.0/go.mod h1:0qNGK6F8kojg2nk9dLZ2mShWaEBan6FAoqfSigmmuDg=
 golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
@@ -161,8 +205,8 @@ golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBc
 golang.org/x/sys v0.0.0-20220811171246-fbc7d0a398ab/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.3.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.7.0 h1:3jlCCIQZPdOYu1h8BkNvLz8Kgwtae2cagcG/VamtZRU=
-golang.org/x/sys v0.7.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
+golang.org/x/sys v0.8.0 h1:EBmGv8NaZBZTWvrbjNoL6HVt+IVy3QDQpJs7VRIw3tU=
+golang.org/x/sys v0.8.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
 golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=
 golang.org/x/term v0.3.0/go.mod h1:q750SLmJuPmVoN1blW3UFBPREJfb1KmY3vwxfr+nFDA=
@@ -178,8 +222,8 @@ golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtn
 golang.org/x/tools v0.0.0-20201022035929-9cf592e881e9/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA=
 golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc=
 golang.org/x/tools v0.4.0/go.mod h1:UE5sM2OK9E/d67R0ANs2xJizIymRP5gJU295PvKXxjQ=
-golang.org/x/tools v0.8.0 h1:vSDcovVPld282ceKgDimkRSC8kpaH1dgyc9UMzlt84Y=
-golang.org/x/tools v0.8.0/go.mod h1:JxBZ99ISMI5ViVkT1tr6tdNmXeTrcpVSD3vZ1RsRdN4=
+golang.org/x/tools v0.9.1 h1:8WMNJAz3zrtPmnYC7ISf5dEn3MT0gY7jBJfw27yrrLo=
+golang.org/x/tools v0.9.1/go.mod h1:owI94Op576fPu3cIGQeHs3joujW/2Oc6MtlxbF5dfNc=
 golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=

main.go

@@ -33,6 +33,14 @@ func main() {
 				Name:    "debug",
 				EnvVars: []string{"DEBUG"},
 			},
+			&cli.BoolFlag{
+				Name:    "cors",
+				EnvVars: []string{"CORS"},
+			},
+			&cli.StringFlag{
+				Name:    "cors-allow-origins",
+				EnvVars: []string{"CORS_ALLOW_ORIGINS"},
+			},
 			&cli.IntFlag{
 				Name:        "threads",
 				DefaultText: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
@@ -45,6 +53,16 @@ func main() {
 				EnvVars:     []string{"MODELS_PATH"},
 				Value:       filepath.Join(path, "models"),
 			},
+			&cli.StringFlag{
+				Name:        "preload-models",
+				DefaultText: "A List of models to apply in JSON at start",
+				EnvVars:     []string{"PRELOAD_MODELS"},
+			},
+			&cli.StringFlag{
+				Name:        "preload-models-config",
+				DefaultText: "A List of models to apply at startup. Path to a YAML config file",
+				EnvVars:     []string{"PRELOAD_MODELS_CONFIG"},
+			},
 			&cli.StringFlag{
 				Name:        "config-file",
 				DefaultText: "Config file",
@@ -56,12 +74,24 @@ func main() {
 				EnvVars:     []string{"ADDRESS"},
 				Value:       ":8080",
 			},
+			&cli.StringFlag{
+				Name:        "image-path",
+				DefaultText: "Image directory",
+				EnvVars:     []string{"IMAGE_PATH"},
+				Value:       "",
+			},
 			&cli.IntFlag{
 				Name:        "context-size",
 				DefaultText: "Default context size of the model",
 				EnvVars:     []string{"CONTEXT_SIZE"},
 				Value:       512,
 			},
+			&cli.IntFlag{
+				Name:        "upload-limit",
+				DefaultText: "Default upload-limit. MB",
+				EnvVars:     []string{"UPLOAD_LIMIT"},
+				Value:       15,
+			},
 		},
 		Description: `
 LocalAI is a drop-in replacement OpenAI API which runs inference locally.
@@ -81,7 +111,20 @@ It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
 		Copyright: "go-skynet authors",
 		Action: func(ctx *cli.Context) error {
 			fmt.Printf("Starting LocalAI using %d threads, with models path: %s\n", ctx.Int("threads"), ctx.String("models-path"))
-			return api.App(ctx.String("config-file"), model.NewModelLoader(ctx.String("models-path")), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false).Listen(ctx.String("address"))
+			return api.App(
+				api.WithConfigFile(ctx.String("config-file")),
+				api.WithJSONStringPreload(ctx.String("preload-models")),
+				api.WithYAMLConfigPreload(ctx.String("preload-models-config")),
+				api.WithModelLoader(model.NewModelLoader(ctx.String("models-path"))),
+				api.WithContextSize(ctx.Int("context-size")),
+				api.WithDebug(ctx.Bool("debug")),
+				api.WithImageDir(ctx.String("image-path")),
+				api.WithF16(ctx.Bool("f16")),
+				api.WithDisableMessage(false),
+				api.WithCors(ctx.Bool("cors")),
+				api.WithCorsAllowOrigins(ctx.String("cors-allow-origins")),
+				api.WithThreads(ctx.Int("threads")),
+				api.WithUploadLimitMB(ctx.Int("upload-limit"))).Listen(ctx.String("address"))
 		},
 	}
 

pkg/gallery/gallery_suite_test.go

@@ -0,0 +1,13 @@
+package gallery_test
+
+import (
+	"testing"
+
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+func TestGallery(t *testing.T) {
+	RegisterFailHandler(Fail)
+	RunSpecs(t, "Gallery test suite")
+}

pkg/gallery/models.go

@@ -0,0 +1,271 @@
+package gallery
+
+import (
+	"crypto/sha256"
+	"fmt"
+	"io"
+	"net/http"
+	"os"
+	"path/filepath"
+
+	"github.com/imdario/mergo"
+	"github.com/rs/zerolog/log"
+	"gopkg.in/yaml.v2"
+)
+
+/*
+
+description: |
+    foo
+license: ""
+
+urls:
+-
+-
+
+name: "bar"
+
+config_file: |
+    # Note, name will be injected. or generated by the alias wanted by the user
+    threads: 14
+
+files:
+    - filename: ""
+      sha: ""
+      uri: ""
+
+prompt_templates:
+    - name: ""
+      content: ""
+
+*/
+
+type Config struct {
+	Description     string           `yaml:"description"`
+	License         string           `yaml:"license"`
+	URLs            []string         `yaml:"urls"`
+	Name            string           `yaml:"name"`
+	ConfigFile      string           `yaml:"config_file"`
+	Files           []File           `yaml:"files"`
+	PromptTemplates []PromptTemplate `yaml:"prompt_templates"`
+}
+
+type File struct {
+	Filename string `yaml:"filename" json:"filename"`
+	SHA256   string `yaml:"sha256" json:"sha256"`
+	URI      string `yaml:"uri" json:"uri"`
+}
+
+type PromptTemplate struct {
+	Name    string `yaml:"name"`
+	Content string `yaml:"content"`
+}
+
+func ReadConfigFile(filePath string) (*Config, error) {
+	// Read the YAML file
+	yamlFile, err := os.ReadFile(filePath)
+	if err != nil {
+		return nil, fmt.Errorf("failed to read YAML file: %v", err)
+	}
+
+	// Unmarshal YAML data into a Config struct
+	var config Config
+	err = yaml.Unmarshal(yamlFile, &config)
+	if err != nil {
+		return nil, fmt.Errorf("failed to unmarshal YAML: %v", err)
+	}
+
+	return &config, nil
+}
+
+func inTrustedRoot(path string, trustedRoot string) error {
+	for path != "/" {
+		path = filepath.Dir(path)
+		if path == trustedRoot {
+			return nil
+		}
+	}
+	return fmt.Errorf("path is outside of trusted root")
+}
+
+func verifyPath(path, basePath string) error {
+	c := filepath.Clean(filepath.Join(basePath, path))
+	return inTrustedRoot(c, basePath)
+}
+
+func Apply(basePath, nameOverride string, config *Config, configOverrides map[string]interface{}) error {
+	// Create base path if it doesn't exist
+	err := os.MkdirAll(basePath, 0755)
+	if err != nil {
+		return fmt.Errorf("failed to create base path: %v", err)
+	}
+
+	if len(configOverrides) > 0 {
+		log.Debug().Msgf("Config overrides %+v", configOverrides)
+	}
+
+	// Download files and verify their SHA
+	for _, file := range config.Files {
+		log.Debug().Msgf("Checking %q exists and matches SHA", file.Filename)
+
+		if err := verifyPath(file.Filename, basePath); err != nil {
+			return err
+		}
+		// Create file path
+		filePath := filepath.Join(basePath, file.Filename)
+
+		// Check if the file already exists
+		_, err := os.Stat(filePath)
+		if err == nil {
+			// File exists, check SHA
+			if file.SHA256 != "" {
+				// Verify SHA
+				calculatedSHA, err := calculateSHA(filePath)
+				if err != nil {
+					return fmt.Errorf("failed to calculate SHA for file %q: %v", file.Filename, err)
+				}
+				if calculatedSHA == file.SHA256 {
+					// SHA matches, skip downloading
+					log.Debug().Msgf("File %q already exists and matches the SHA. Skipping download", file.Filename)
+					continue
+				}
+				// SHA doesn't match, delete the file and download again
+				err = os.Remove(filePath)
+				if err != nil {
+					return fmt.Errorf("failed to remove existing file %q: %v", file.Filename, err)
+				}
+				log.Debug().Msgf("Removed %q (SHA doesn't match)", filePath)
+
+			} else {
+				// SHA is missing, skip downloading
+				log.Debug().Msgf("File %q already exists. Skipping download", file.Filename)
+				continue
+			}
+		} else if !os.IsNotExist(err) {
+			// Error occurred while checking file existence
+			return fmt.Errorf("failed to check file %q existence: %v", file.Filename, err)
+		}
+
+		log.Debug().Msgf("Downloading %q", file.URI)
+
+		// Download file
+		resp, err := http.Get(file.URI)
+		if err != nil {
+			return fmt.Errorf("failed to download file %q: %v", file.Filename, err)
+		}
+		defer resp.Body.Close()
+
+		// Create parent directory
+		err = os.MkdirAll(filepath.Dir(filePath), 0755)
+		if err != nil {
+			return fmt.Errorf("failed to create parent directory for file %q: %v", file.Filename, err)
+		}
+
+		// Create and write file content
+		outFile, err := os.Create(filePath)
+		if err != nil {
+			return fmt.Errorf("failed to create file %q: %v", file.Filename, err)
+		}
+		defer outFile.Close()
+
+		if file.SHA256 != "" {
+			log.Debug().Msgf("Download and verifying %q", file.Filename)
+
+			// Write file content and calculate SHA
+			hash := sha256.New()
+			_, err = io.Copy(io.MultiWriter(outFile, hash), resp.Body)
+			if err != nil {
+				return fmt.Errorf("failed to write file %q: %v", file.Filename, err)
+			}
+
+			// Verify SHA
+			calculatedSHA := fmt.Sprintf("%x", hash.Sum(nil))
+			if calculatedSHA != file.SHA256 {
+				return fmt.Errorf("SHA mismatch for file %q ( calculated: %s != metadata: %s )", file.Filename, calculatedSHA, file.SHA256)
+			}
+		} else {
+			log.Debug().Msgf("SHA missing for %q. Skipping validation", file.Filename)
+			_, err = io.Copy(outFile, resp.Body)
+			if err != nil {
+				return fmt.Errorf("failed to write file %q: %v", file.Filename, err)
+			}
+		}
+
+		log.Debug().Msgf("File %q downloaded and verified", file.Filename)
+	}
+
+	// Write prompt template contents to separate files
+	for _, template := range config.PromptTemplates {
+		if err := verifyPath(template.Name+".tmpl", basePath); err != nil {
+			return err
+		}
+		// Create file path
+		filePath := filepath.Join(basePath, template.Name+".tmpl")
+
+		// Create parent directory
+		err := os.MkdirAll(filepath.Dir(filePath), 0755)
+		if err != nil {
+			return fmt.Errorf("failed to create parent directory for prompt template %q: %v", template.Name, err)
+		}
+		// Create and write file content
+		err = os.WriteFile(filePath, []byte(template.Content), 0644)
+		if err != nil {
+			return fmt.Errorf("failed to write prompt template %q: %v", template.Name, err)
+		}
+
+		log.Debug().Msgf("Prompt template %q written", template.Name)
+	}
+
+	name := config.Name
+	if nameOverride != "" {
+		name = nameOverride
+	}
+
+	if err := verifyPath(name+".yaml", basePath); err != nil {
+		return err
+	}
+
+	configFilePath := filepath.Join(basePath, name+".yaml")
+
+	// Read and update config file as map[string]interface{}
+	configMap := make(map[string]interface{})
+	err = yaml.Unmarshal([]byte(config.ConfigFile), &configMap)
+	if err != nil {
+		return fmt.Errorf("failed to unmarshal config YAML: %v", err)
+	}
+
+	configMap["name"] = name
+
+	if err := mergo.Merge(&configMap, configOverrides, mergo.WithOverride); err != nil {
+		return err
+	}
+
+	// Write updated config file
+	updatedConfigYAML, err := yaml.Marshal(configMap)
+	if err != nil {
+		return fmt.Errorf("failed to marshal updated config YAML: %v", err)
+	}
+
+	err = os.WriteFile(configFilePath, updatedConfigYAML, 0644)
+	if err != nil {
+		return fmt.Errorf("failed to write updated config file: %v", err)
+	}
+
+	log.Debug().Msgf("Written config file %s", configFilePath)
+	return nil
+}
+
+func calculateSHA(filePath string) (string, error) {
+	file, err := os.Open(filePath)
+	if err != nil {
+		return "", err
+	}
+	defer file.Close()
+
+	hash := sha256.New()
+	if _, err := io.Copy(hash, file); err != nil {
+		return "", err
+	}
+
+	return fmt.Sprintf("%x", hash.Sum(nil)), nil
+}

pkg/gallery/models_test.go

@@ -0,0 +1,94 @@
+package gallery_test
+
+import (
+	"os"
+	"path/filepath"
+
+	. "github.com/go-skynet/LocalAI/pkg/gallery"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+	"gopkg.in/yaml.v3"
+)
+
+var _ = Describe("Model test", func() {
+	Context("Downloading", func() {
+		It("applies model correctly", func() {
+			tempdir, err := os.MkdirTemp("", "test")
+			Expect(err).ToNot(HaveOccurred())
+			defer os.RemoveAll(tempdir)
+			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = Apply(tempdir, "", c, map[string]interface{}{})
+			Expect(err).ToNot(HaveOccurred())
+
+			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "cerebras.yaml"} {
+				_, err = os.Stat(filepath.Join(tempdir, f))
+				Expect(err).ToNot(HaveOccurred())
+			}
+
+			content := map[string]interface{}{}
+
+			dat, err := os.ReadFile(filepath.Join(tempdir, "cerebras.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = yaml.Unmarshal(dat, content)
+			Expect(err).ToNot(HaveOccurred())
+
+			Expect(content["context_size"]).To(Equal(1024))
+		})
+
+		It("renames model correctly", func() {
+			tempdir, err := os.MkdirTemp("", "test")
+			Expect(err).ToNot(HaveOccurred())
+			defer os.RemoveAll(tempdir)
+			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = Apply(tempdir, "foo", c, map[string]interface{}{})
+			Expect(err).ToNot(HaveOccurred())
+
+			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "foo.yaml"} {
+				_, err = os.Stat(filepath.Join(tempdir, f))
+				Expect(err).ToNot(HaveOccurred())
+			}
+		})
+
+		It("overrides parameters", func() {
+			tempdir, err := os.MkdirTemp("", "test")
+			Expect(err).ToNot(HaveOccurred())
+			defer os.RemoveAll(tempdir)
+			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = Apply(tempdir, "foo", c, map[string]interface{}{"backend": "foo"})
+			Expect(err).ToNot(HaveOccurred())
+
+			for _, f := range []string{"cerebras", "cerebras-completion.tmpl", "cerebras-chat.tmpl", "foo.yaml"} {
+				_, err = os.Stat(filepath.Join(tempdir, f))
+				Expect(err).ToNot(HaveOccurred())
+			}
+
+			content := map[string]interface{}{}
+
+			dat, err := os.ReadFile(filepath.Join(tempdir, "foo.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = yaml.Unmarshal(dat, content)
+			Expect(err).ToNot(HaveOccurred())
+
+			Expect(content["backend"]).To(Equal("foo"))
+		})
+
+		It("catches path traversals", func() {
+			tempdir, err := os.MkdirTemp("", "test")
+			Expect(err).ToNot(HaveOccurred())
+			defer os.RemoveAll(tempdir)
+			c, err := ReadConfigFile(filepath.Join(os.Getenv("FIXTURES"), "gallery_simple.yaml"))
+			Expect(err).ToNot(HaveOccurred())
+
+			err = Apply(tempdir, "../../../foo", c, map[string]interface{}{})
+			Expect(err).To(HaveOccurred())
+		})
+	})
+})

pkg/model/initializers.go

@@ -0,0 +1,196 @@
+package model
+
+import (
+	"fmt"
+	"path/filepath"
+	"strings"
+
+	rwkv "github.com/donomii/go-rwkv.cpp"
+	whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
+	"github.com/go-skynet/LocalAI/pkg/stablediffusion"
+	bloomz "github.com/go-skynet/bloomz.cpp"
+	bert "github.com/go-skynet/go-bert.cpp"
+	transformers "github.com/go-skynet/go-ggml-transformers.cpp"
+	llama "github.com/go-skynet/go-llama.cpp"
+	"github.com/hashicorp/go-multierror"
+	gpt4all "github.com/nomic-ai/gpt4all/gpt4all-bindings/golang"
+	"github.com/rs/zerolog/log"
+)
+
+const tokenizerSuffix = ".tokenizer.json"
+
+const (
+	LlamaBackend           = "llama"
+	BloomzBackend          = "bloomz"
+	StarcoderBackend       = "starcoder"
+	GPTJBackend            = "gptj"
+	DollyBackend           = "dolly"
+	MPTBackend             = "mpt"
+	GPTNeoXBackend         = "gptneox"
+	ReplitBackend          = "replit"
+	Gpt2Backend            = "gpt2"
+	Gpt4AllLlamaBackend    = "gpt4all-llama"
+	Gpt4AllMptBackend      = "gpt4all-mpt"
+	Gpt4AllJBackend        = "gpt4all-j"
+	BertEmbeddingsBackend  = "bert-embeddings"
+	RwkvBackend            = "rwkv"
+	WhisperBackend         = "whisper"
+	StableDiffusionBackend = "stablediffusion"
+)
+
+var backends []string = []string{
+	LlamaBackend,
+	Gpt4AllLlamaBackend,
+	Gpt4AllMptBackend,
+	Gpt4AllJBackend,
+	RwkvBackend,
+	GPTNeoXBackend,
+	WhisperBackend,
+	BertEmbeddingsBackend,
+	GPTJBackend,
+	Gpt2Backend,
+	DollyBackend,
+	MPTBackend,
+	ReplitBackend,
+	StarcoderBackend,
+	BloomzBackend,
+}
+
+var starCoder = func(modelFile string) (interface{}, error) {
+	return transformers.NewStarcoder(modelFile)
+}
+
+var mpt = func(modelFile string) (interface{}, error) {
+	return transformers.NewMPT(modelFile)
+}
+
+var dolly = func(modelFile string) (interface{}, error) {
+	return transformers.NewDolly(modelFile)
+}
+
+var gptNeoX = func(modelFile string) (interface{}, error) {
+	return transformers.NewGPTNeoX(modelFile)
+}
+
+var replit = func(modelFile string) (interface{}, error) {
+	return transformers.NewReplit(modelFile)
+}
+
+var gptJ = func(modelFile string) (interface{}, error) {
+	return transformers.NewGPTJ(modelFile)
+}
+
+var bertEmbeddings = func(modelFile string) (interface{}, error) {
+	return bert.New(modelFile)
+}
+
+var bloomzLM = func(modelFile string) (interface{}, error) {
+	return bloomz.New(modelFile)
+}
+
+var transformersLM = func(modelFile string) (interface{}, error) {
+	return transformers.New(modelFile)
+}
+
+var stableDiffusion = func(assetDir string) (interface{}, error) {
+	return stablediffusion.New(assetDir)
+}
+
+var whisperModel = func(modelFile string) (interface{}, error) {
+	return whisper.New(modelFile)
+}
+
+func llamaLM(opts ...llama.ModelOption) func(string) (interface{}, error) {
+	return func(s string) (interface{}, error) {
+		return llama.New(s, opts...)
+	}
+}
+
+func gpt4allLM(opts ...gpt4all.ModelOption) func(string) (interface{}, error) {
+	return func(s string) (interface{}, error) {
+		return gpt4all.New(s, opts...)
+	}
+}
+
+func rwkvLM(tokenFile string, threads uint32) func(string) (interface{}, error) {
+	return func(s string) (interface{}, error) {
+		log.Debug().Msgf("Loading RWKV", s, tokenFile)
+
+		model := rwkv.LoadFiles(s, tokenFile, threads)
+		if model == nil {
+			return nil, fmt.Errorf("could not load model")
+		}
+		return model, nil
+	}
+}
+
+func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
+	log.Debug().Msgf("Loading model %s from %s", backendString, modelFile)
+	switch strings.ToLower(backendString) {
+	case LlamaBackend:
+		return ml.LoadModel(modelFile, llamaLM(llamaOpts...))
+	case BloomzBackend:
+		return ml.LoadModel(modelFile, bloomzLM)
+	case GPTJBackend:
+		return ml.LoadModel(modelFile, gptJ)
+	case DollyBackend:
+		return ml.LoadModel(modelFile, dolly)
+	case MPTBackend:
+		return ml.LoadModel(modelFile, mpt)
+	case Gpt2Backend:
+		return ml.LoadModel(modelFile, transformersLM)
+	case GPTNeoXBackend:
+		return ml.LoadModel(modelFile, gptNeoX)
+	case ReplitBackend:
+		return ml.LoadModel(modelFile, replit)
+	case StableDiffusionBackend:
+		return ml.LoadModel(modelFile, stableDiffusion)
+	case StarcoderBackend:
+		return ml.LoadModel(modelFile, starCoder)
+	case Gpt4AllLlamaBackend:
+		return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.LLaMAType)))
+	case Gpt4AllMptBackend:
+		return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.MPTType)))
+	case Gpt4AllJBackend:
+		return ml.LoadModel(modelFile, gpt4allLM(gpt4all.SetThreads(int(threads)), gpt4all.SetModelType(gpt4all.GPTJType)))
+	case BertEmbeddingsBackend:
+		return ml.LoadModel(modelFile, bertEmbeddings)
+	case RwkvBackend:
+		return ml.LoadModel(modelFile, rwkvLM(filepath.Join(ml.ModelPath, modelFile+tokenizerSuffix), threads))
+	case WhisperBackend:
+		return ml.LoadModel(modelFile, whisperModel)
+	default:
+		return nil, fmt.Errorf("backend unsupported: %s", backendString)
+	}
+}
+
+func (ml *ModelLoader) GreedyLoader(modelFile string, llamaOpts []llama.ModelOption, threads uint32) (interface{}, error) {
+	log.Debug().Msgf("Loading model '%s' greedly", modelFile)
+
+	ml.mu.Lock()
+	m, exists := ml.models[modelFile]
+	if exists {
+		log.Debug().Msgf("Model '%s' already loaded", modelFile)
+		ml.mu.Unlock()
+		return m, nil
+	}
+	ml.mu.Unlock()
+	var err error
+
+	for _, b := range backends {
+		if b == BloomzBackend || b == WhisperBackend || b == RwkvBackend { // do not autoload bloomz/whisper/rwkv
+			continue
+		}
+		log.Debug().Msgf("[%s] Attempting to load", b)
+		model, modelerr := ml.BackendLoader(b, modelFile, llamaOpts, threads)
+		if modelerr == nil && model != nil {
+			log.Debug().Msgf("[%s] Loads OK", b)
+			return model, nil
+		} else if modelerr != nil {
+			err = multierror.Append(err, modelerr)
+			log.Debug().Msgf("[%s] Fails: %s", b, modelerr.Error())
+		}
+	}
+
+	return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
+}

pkg/model/loader.go

@@ -10,36 +10,22 @@ import (
 	"sync"
 	"text/template"
 
-	"github.com/hashicorp/go-multierror"
 	"github.com/rs/zerolog/log"
-
-	rwkv "github.com/donomii/go-rwkv.cpp"
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
-	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
-	llama "github.com/go-skynet/go-llama.cpp"
 )
 
 type ModelLoader struct {
 	ModelPath string
 	mu        sync.Mutex
-
-	models            map[string]*llama.LLama
-	gptmodels         map[string]*gptj.GPTJ
-	gpt2models        map[string]*gpt2.GPT2
-	gptstablelmmodels map[string]*gpt2.StableLM
-	rwkv              map[string]*rwkv.RwkvState
-	promptsTemplates  map[string]*template.Template
+	// TODO: this needs generics
+	models           map[string]interface{}
+	promptsTemplates map[string]*template.Template
 }
 
 func NewModelLoader(modelPath string) *ModelLoader {
 	return &ModelLoader{
-		ModelPath:         modelPath,
-		gpt2models:        make(map[string]*gpt2.GPT2),
-		gptmodels:         make(map[string]*gptj.GPTJ),
-		gptstablelmmodels: make(map[string]*gpt2.StableLM),
-		models:            make(map[string]*llama.LLama),
-		rwkv:              make(map[string]*rwkv.RwkvState),
-		promptsTemplates:  make(map[string]*template.Template),
+		ModelPath:        modelPath,
+		models:           make(map[string]interface{}),
+		promptsTemplates: make(map[string]*template.Template),
 	}
 }
 
@@ -124,143 +110,11 @@ func (ml *ModelLoader) loadTemplateIfExists(modelName, modelFile string) error {
 	return nil
 }
 
-func (ml *ModelLoader) LoadStableLMModel(modelName string) (*gpt2.StableLM, error) {
+func (ml *ModelLoader) LoadModel(modelName string, loader func(string) (interface{}, error)) (interface{}, error) {
 	ml.mu.Lock()
 	defer ml.mu.Unlock()
 
 	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gptstablelmmodels[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gpt2.NewStableLM(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gptstablelmmodels[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadGPT2Model(modelName string) (*gpt2.GPT2, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gpt2models[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gpt2.New(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gpt2models[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gptmodels[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gptj.New(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gptmodels[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadRWKV(modelName, tokenFile string, threads uint32) (*rwkv.RwkvState, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	log.Debug().Msgf("Loading model name: %s", modelName)
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.rwkv[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.ModelPath, modelName)
-	tokenPath := filepath.Join(ml.ModelPath, tokenFile)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model := rwkv.LoadFiles(modelFile, tokenPath, threads)
-	if model == nil {
-		return nil, fmt.Errorf("could not load model")
-	}
-
-	ml.rwkv[modelName] = model
-	return model, nil
-}
-
-func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOption) (*llama.LLama, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	log.Debug().Msgf("Loading model name: %s", modelName)
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
 	if m, ok := ml.models[modelName]; ok {
 		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
 		return m, nil
@@ -270,7 +124,7 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
 	modelFile := filepath.Join(ml.ModelPath, modelName)
 	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
 
-	model, err := llama.New(modelFile, opts...)
+	model, err := loader(modelFile)
 	if err != nil {
 		return nil, err
 	}
@@ -281,85 +135,5 @@ func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOptio
 	}
 
 	ml.models[modelName] = model
-	return model, err
-}
-
-const tokenizerSuffix = ".tokenizer.json"
-
-var loadedModels map[string]interface{} = map[string]interface{}{}
-var muModels sync.Mutex
-
-func (ml *ModelLoader) BackendLoader(backendString string, modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
-	switch strings.ToLower(backendString) {
-	case "llama":
-		return ml.LoadLLaMAModel(modelFile, llamaOpts...)
-	case "stablelm":
-		return ml.LoadStableLMModel(modelFile)
-	case "gpt2":
-		return ml.LoadGPT2Model(modelFile)
-	case "gptj":
-		return ml.LoadGPTJModel(modelFile)
-	case "rwkv":
-		return ml.LoadRWKV(modelFile, modelFile+tokenizerSuffix, threads)
-	default:
-		return nil, fmt.Errorf("backend unsupported: %s", backendString)
-	}
-}
-
-func (ml *ModelLoader) GreedyLoader(modelFile string, llamaOpts []llama.ModelOption, threads uint32) (model interface{}, err error) {
-	updateModels := func(model interface{}) {
-		muModels.Lock()
-		defer muModels.Unlock()
-		loadedModels[modelFile] = model
-	}
-
-	muModels.Lock()
-	m, exists := loadedModels[modelFile]
-	if exists {
-		muModels.Unlock()
-		return m, nil
-	}
-	muModels.Unlock()
-
-	model, modelerr := ml.LoadLLaMAModel(modelFile, llamaOpts...)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = ml.LoadGPTJModel(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = ml.LoadGPT2Model(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = ml.LoadStableLMModel(modelFile)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	model, modelerr = ml.LoadRWKV(modelFile, modelFile+tokenizerSuffix, threads)
-	if modelerr == nil {
-		updateModels(model)
-		return model, nil
-	} else {
-		err = multierror.Append(err, modelerr)
-	}
-
-	return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
+	return model, nil
 }

pkg/stablediffusion/generate.go

@@ -0,0 +1,23 @@
+//go:build stablediffusion
+// +build stablediffusion
+
+package stablediffusion
+
+import (
+	stableDiffusion "github.com/mudler/go-stable-diffusion"
+)
+
+func GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst, asset_dir string) error {
+	return stableDiffusion.GenerateImage(
+		height,
+		width,
+		mode,
+		step,
+		seed,
+		positive_prompt,
+		negative_prompt,
+		dst,
+		"",
+		asset_dir,
+	)
+}

pkg/stablediffusion/generate_unsupported.go

@@ -0,0 +1,10 @@
+//go:build !stablediffusion
+// +build !stablediffusion
+
+package stablediffusion
+
+import "fmt"
+
+func GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst, asset_dir string) error {
+	return fmt.Errorf("This version of LocalAI was built without the stablediffusion tag")
+}

pkg/stablediffusion/stablediffusion.go

@@ -0,0 +1,20 @@
+package stablediffusion
+
+import "os"
+
+type StableDiffusion struct {
+	assetDir string
+}
+
+func New(assetDir string) (*StableDiffusion, error) {
+	if _, err := os.Stat(assetDir); err != nil {
+		return nil, err
+	}
+	return &StableDiffusion{
+		assetDir: assetDir,
+	}, nil
+}
+
+func (s *StableDiffusion) GenerateImage(height, width, mode, step, seed int, positive_prompt, negative_prompt, dst string) error {
+	return GenerateImage(height, width, mode, step, seed, positive_prompt, negative_prompt, dst, s.assetDir)
+}

pkg/whisper/whisper.go

@@ -0,0 +1,90 @@
+package whisper
+
+import (
+	"fmt"
+	"os"
+	"os/exec"
+	"path/filepath"
+
+	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
+	wav "github.com/go-audio/wav"
+)
+
+func sh(c string) (string, error) {
+	cmd := exec.Command("/bin/sh", "-c", c)
+	cmd.Env = os.Environ()
+	o, err := cmd.CombinedOutput()
+	return string(o), err
+}
+
+// AudioToWav converts audio to wav for transcribe. It bashes out to ffmpeg
+// TODO: use https://github.com/mccoyst/ogg?
+func audioToWav(src, dst string) error {
+	out, err := sh(fmt.Sprintf("ffmpeg -i %s -format s16le -ar 16000 -ac 1 -acodec pcm_s16le %s", src, dst))
+	if err != nil {
+		return fmt.Errorf("error: %w out: %s", err, out)
+	}
+
+	return nil
+}
+
+func Transcript(model whisper.Model, audiopath, language string, threads uint) (string, error) {
+
+	dir, err := os.MkdirTemp("", "whisper")
+	if err != nil {
+		return "", err
+	}
+	defer os.RemoveAll(dir)
+
+	convertedPath := filepath.Join(dir, "converted.wav")
+
+	if err := audioToWav(audiopath, convertedPath); err != nil {
+		return "", err
+	}
+
+	// Open samples
+	fh, err := os.Open(convertedPath)
+	if err != nil {
+		return "", err
+	}
+	defer fh.Close()
+
+	// Read samples
+	d := wav.NewDecoder(fh)
+	buf, err := d.FullPCMBuffer()
+	if err != nil {
+		return "", err
+	}
+
+	data := buf.AsFloat32Buffer().Data
+
+	// Process samples
+	context, err := model.NewContext()
+	if err != nil {
+		return "", err
+
+	}
+
+	context.SetThreads(threads)
+
+	if language != "" {
+		context.SetLanguage(language)
+	} else {
+		context.SetLanguage("auto")
+	}
+
+	if err := context.Process(data, nil); err != nil {
+		return "", err
+	}
+
+	text := ""
+	for {
+		segment, err := context.NextSegment()
+		if err != nil {
+			break
+		}
+		text += segment.Text
+	}
+
+	return text, nil
+}

tests/fixtures/gallery_simple.yaml

@@ -0,0 +1,40 @@
+name: "cerebras"
+description: |
+    cerebras
+license: "Apache 2.0"
+
+config_file: |
+    parameters:
+      model: cerebras
+      top_k: 80
+      temperature: 0.2
+      top_p: 0.7
+    context_size: 1024
+    stopwords:
+    - "HUMAN:"
+    - "GPT:"
+    roles:
+      user: ""
+      system: ""
+    template:
+      completion: "cerebras-completion"
+      chat: cerebras-chat
+
+files:
+    - filename: "cerebras"
+      sha256: "c947051ae4dba9530ca55d923a7a484acd65664c8633462c8ccd4bb7848f2c65"
+      uri: "https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerebras-111m-q4_2.bin"
+
+prompt_templates:
+    - name: "cerebras-completion"
+      content: |
+        Complete the prompt
+        ### Prompt:
+        {{.Input}}
+        ### Response:
+    - name: "cerebras-chat"
+      content: |
+        The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
+        ### Prompt:
+        {{.Input}}
+        ### Response:

tests/models_fixtures/completion.tmpl

@@ -0,0 +1 @@
+{{.Input}}

tests/models_fixtures/embeddings.yaml

@@ -0,0 +1,5 @@
+name: text-embedding-ada-002
+parameters:
+  model: bert
+backend: bert-embeddings
+embeddings: true

tests/models_fixtures/ggml-gpt4all-j.tmpl

@@ -0,0 +1,4 @@
+The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
+### Prompt:
+{{.Input}}
+### Response:

tests/models_fixtures/rwkv.yaml

@@ -0,0 +1,18 @@
+name: rwkv_test
+parameters:
+  model: rwkv
+  top_k: 80
+  temperature: 0.9
+  max_tokens: 100
+  top_p: 0.8
+context_size: 1024
+backend: "rwkv"
+cutwords:
+- "Bob:.*"
+roles:
+  user: "Bob:"
+  system: "Alice:"
+  assistant: "Alice:"
+template:
+  completion: rwkv_completion
+  chat: rwkv_chat

tests/models_fixtures/rwkv_chat.tmpl

@@ -0,0 +1,13 @@
+The following is a verbose detailed conversation between Bob and a woman, Alice. Alice is intelligent, friendly and likeable. Alice is likely to agree with Bob.
+
+Bob: Hello Alice, how are you doing?
+
+Alice: Hi Bob! Thanks, I'm fine. What about you?
+
+Bob: I am very good! It's nice to see you. Would you mind me chatting with you for a while?
+
+Alice: Not at all! I'm listening.
+
+{{.Input}}
+
+Alice: 

tests/models_fixtures/rwkv_completion.tmpl

@@ -0,0 +1 @@
+Complete the following sentence: {{.Input}} 

tests/models_fixtures/whisper.yaml

@@ -0,0 +1,4 @@
+name: whisper-1
+backend: whisper
+parameters:
+  model: whisper-en