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Author SHA1 Message Date
Ettore Di Giacinto
455aee4eaf chore(model gallery): add qihoo360_tinyr1-32b-preview
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2025-03-02 10:23:17 +01:00
58 changed files with 1765 additions and 3708 deletions

View File

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

View File

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

View File

@@ -6,7 +6,7 @@ BINARY_NAME=local-ai
DETECT_LIBS?=true
# llama.cpp versions
CPPLLAMA_VERSION?=4663bd353c61c1136cd8a97b9908755e4ab30cec
CPPLLAMA_VERSION?=1782cdfed60952f9ff333fc2ab5245f2be702453
# whisper.cpp version
WHISPER_REPO?=https://github.com/ggerganov/whisper.cpp

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -467,10 +467,9 @@ struct llama_server_context
bool all_slots_are_idle = false;
bool add_bos_token = true;
bool has_eos_token = true;
bool has_gpu = false;
bool grammar_lazy = false;
std::vector<common_grammar_trigger> grammar_triggers;
std::vector<common_grammar_trigger> grammar_trigger_words;
int32_t n_ctx; // total context for all clients / slots
@@ -512,10 +511,7 @@ struct llama_server_context
if (!params.mmproj.empty()) {
multimodal = true;
LOG_INFO("Multi Modal Mode Enabled", {});
clp_ctx = clip_init(params.mmproj.c_str(), clip_context_params {
/* use_gpu */ has_gpu,
/*verbosity=*/ 1,
});
clp_ctx = clip_model_load(params.mmproj.c_str(), /*verbosity=*/ 1);
if(clp_ctx == nullptr) {
LOG_ERR("unable to load clip model: %s", params.mmproj.c_str());
return false;
@@ -713,7 +709,7 @@ struct llama_server_context
slot->sparams.grammar = json_value(data, "grammar", default_sparams.grammar);
slot->sparams.n_probs = json_value(data, "n_probs", default_sparams.n_probs);
slot->sparams.min_keep = json_value(data, "min_keep", default_sparams.min_keep);
slot->sparams.grammar_triggers = grammar_triggers;
slot->sparams.grammar_trigger_words = grammar_trigger_words;
slot->sparams.grammar_lazy = grammar_lazy;
if (slot->n_predict > 0 && slot->params.n_predict > slot->n_predict) {
@@ -1354,7 +1350,7 @@ struct llama_server_context
queue_results.send(res);
}
void send_embedding(llama_client_slot &slot, const llama_batch & batch)
void send_embedding(llama_client_slot &slot)
{
task_result res;
res.id = slot.task_id;
@@ -1376,38 +1372,10 @@ struct llama_server_context
else
{
const float *data = llama_get_embeddings(ctx);
std::vector<float> embd_res(n_embd, 0.0f);
std::vector<std::vector<float>> embedding;
for (int i = 0; i < batch.n_tokens; ++i) {
if (!batch.logits[i] || batch.seq_id[i][0] != slot.id) {
continue;
}
const float * embd = llama_get_embeddings_seq(ctx, batch.seq_id[i][0]);
if (embd == NULL) {
embd = llama_get_embeddings_ith(ctx, i);
}
if (embd == NULL) {
LOG("failed to get embeddings");
continue;
}
// normalize only when there is pooling
// TODO: configurable
if (llama_pooling_type(ctx) != LLAMA_POOLING_TYPE_NONE) {
common_embd_normalize(embd, embd_res.data(), n_embd, 2);
embedding.push_back(embd_res);
} else {
embedding.push_back({ embd, embd + n_embd });
}
}
// OAI compat
std::vector<float> embedding(data, data + n_embd);
res.result_json = json
{
{"embedding", embedding[0] },
{"embedding", embedding },
};
}
queue_results.send(res);
@@ -2028,7 +1996,7 @@ struct llama_server_context
// prompt evaluated for embedding
if (slot.embedding)
{
send_embedding(slot, batch_view);
send_embedding(slot);
slot.release();
slot.i_batch = -1;
continue;
@@ -2122,11 +2090,7 @@ static void append_to_generated_text_from_generated_token_probs(llama_server_con
}
std::function<void(int)> shutdown_handler;
inline void signal_handler(int signal) {
exit(1);
}
inline void signal_handler(int signal) { shutdown_handler(signal); }
/////////////////////////////////
////////////////////////////////
@@ -2322,7 +2286,7 @@ static std::string get_all_kv_cache_types() {
}
static void params_parse(const backend::ModelOptions* request,
common_params & params, llama_server_context &llama) {
common_params & params) {
// this is comparable to: https://github.com/ggerganov/llama.cpp/blob/d9b33fe95bd257b36c84ee5769cc048230067d6f/examples/server/server.cpp#L1809
@@ -2360,20 +2324,6 @@ static void params_parse(const backend::ModelOptions* request,
add_rpc_devices(std::string(llama_grpc_servers));
}
// decode options. Options are in form optname:optvale, or if booleans only optname.
for (int i = 0; i < request->options_size(); i++) {
std::string opt = request->options(i);
char *optname = strtok(&opt[0], ":");
char *optval = strtok(NULL, ":");
if (optval == NULL) {
optval = "true";
}
if (!strcmp(optname, "gpu")) {
llama.has_gpu = true;
}
}
// TODO: Add yarn
if (!request->tensorsplit().empty()) {
@@ -2443,12 +2393,12 @@ static void params_parse(const backend::ModelOptions* request,
llama.grammar_lazy = true;
for (int i = 0; i < request->grammartriggers_size(); i++) {
common_grammar_trigger trigger;
trigger.type = COMMON_GRAMMAR_TRIGGER_TYPE_WORD;
trigger.value = request->grammartriggers(i).word();
// trigger.at_start = request->grammartriggers(i).at_start();
llama.grammar_triggers.push_back(trigger);
trigger.word = request->grammartriggers(i).word();
trigger.at_start = request->grammartriggers(i).at_start();
llama.grammar_trigger_words.push_back(trigger);
LOG_INFO("grammar trigger", {
{ "word", trigger.value },
{ "word", trigger.word },
{ "at_start", trigger.at_start }
});
}
}
@@ -2467,7 +2417,7 @@ public:
grpc::Status LoadModel(ServerContext* context, const backend::ModelOptions* request, backend::Result* result) {
// Implement LoadModel RPC
common_params params;
params_parse(request, params, llama);
params_parse(request, params);
llama_backend_init();
llama_numa_init(params.numa);
@@ -2653,20 +2603,6 @@ void RunServer(const std::string& server_address) {
int main(int argc, char** argv) {
std::string server_address("localhost:50051");
#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
struct sigaction sigint_action;
sigint_action.sa_handler = signal_handler;
sigemptyset (&sigint_action.sa_mask);
sigint_action.sa_flags = 0;
sigaction(SIGINT, &sigint_action, NULL);
sigaction(SIGTERM, &sigint_action, NULL);
#elif defined (_WIN32)
auto console_ctrl_handler = +[](DWORD ctrl_type) -> BOOL {
return (ctrl_type == CTRL_C_EVENT) ? (signal_handler(SIGINT), true) : false;
};
SetConsoleCtrlHandler(reinterpret_cast<PHANDLER_ROUTINE>(console_ctrl_handler), true);
#endif
// Define long and short options
struct option long_options[] = {
{"addr", required_argument, nullptr, 'a'},

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -116,11 +116,6 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
}
if tokenCallback != nil {
if c.TemplateConfig.ReplyPrefix != "" {
tokenCallback(c.TemplateConfig.ReplyPrefix, tokenUsage)
}
ss := ""
var partialRune []byte
@@ -170,13 +165,8 @@ func ModelInference(ctx context.Context, s string, messages []schema.Message, im
tokenUsage.TimingTokenGeneration = reply.TimingTokenGeneration
tokenUsage.TimingPromptProcessing = reply.TimingPromptProcessing
response := string(reply.Message)
if c.TemplateConfig.ReplyPrefix != "" {
response = c.TemplateConfig.ReplyPrefix + response
}
return LLMResponse{
Response: response,
Response: string(reply.Message),
Usage: tokenUsage,
}, err
}

View File

@@ -122,6 +122,7 @@ func grpcModelOpts(c config.BackendConfig) *pb.ModelOptions {
for _, t := range c.FunctionsConfig.GrammarConfig.GrammarTriggers {
triggers = append(triggers, &pb.GrammarTrigger{
Word: t.Word,
AtStart: t.AtStart,
})
}

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -1,216 +1,25 @@
<!DOCTYPE html>
<html lang="en">
{{template "views/partials/head" .}}
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Open Authenticated Website</title>
<base href="{{.BaseURL}}" />
<link rel="icon" type="image/x-icon" href="favicon.ico" />
</head>
<body>
<h1>Authorization is required</h1>
<input type="text" id="token" placeholder="Token" />
<button onclick="login()">Login</button>
<script>
function login() {
const token = document.getElementById('token').value;
var date = new Date();
date.setTime(date.getTime() + (24*60*60*1000));
document.cookie = `token=${token}; expires=${date.toGMTString()}`;
<body class="bg-gradient-to-br from-gray-900 to-gray-950 text-gray-200">
<div class="flex flex-col min-h-screen">
{{template "views/partials/navbar" .}}
<div class="container mx-auto px-4 py-8 flex-grow flex items-center justify-center">
<!-- Auth Card -->
<div class="max-w-md w-full bg-gray-800/90 border border-gray-700/50 rounded-xl overflow-hidden shadow-xl">
<div class="animation-container">
<div class="text-overlay">
<!-- <i class="fas fa-circle-nodes text-5xl text-blue-400 mb-2"></i> -->
</div>
</div>
<div class="p-8">
<div class="text-center mb-6">
<h2 class="text-2xl font-bold text-white">
<span class="bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">
Authorization Required
</span>
</h2>
<p class="text-gray-400 mt-2">Please enter your access token to continue</p>
</div>
<form id="login-form" class="space-y-6" onsubmit="login(); return false;">
<div>
<label for="token" class="block text-sm font-medium text-gray-300 mb-2">Access Token</label>
<div class="relative">
<div class="absolute inset-y-0 left-0 pl-3 flex items-center pointer-events-none">
<i class="fas fa-key text-gray-500"></i>
</div>
<input
type="password"
id="token"
name="token"
placeholder="Enter your token"
class="bg-gray-700/50 border border-gray-600 text-white placeholder-gray-400 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full pl-10 p-2.5"
required
/>
</div>
</div>
<div>
<button
type="submit"
class="group w-full flex items-center justify-center bg-gradient-to-r from-blue-600 to-indigo-600 hover:from-blue-700 hover:to-indigo-700 text-white py-3 px-6 rounded-lg transition duration-300 ease-in-out transform hover:scale-[1.02] hover:shadow-lg font-medium"
>
<i class="fas fa-sign-in-alt mr-2"></i>
<span>Login</span>
<i class="fas fa-arrow-right opacity-0 group-hover:opacity-100 group-hover:translate-x-2 ml-2 transition-all duration-300"></i>
</button>
</div>
</form>
<div class="mt-8 pt-6 border-t border-gray-700/50 text-center text-sm text-gray-400">
<div class="flex items-center justify-center mb-2">
<i class="fas fa-shield-alt mr-2 text-blue-400"></i>
<span>Instance is token protected</span>
</div>
<p>Current time (UTC): <span id="current-time">{{.CurrentDate}}</span></p>
</div>
</div>
</div>
</div>
{{template "views/partials/footer" .}}
</div>
<script>
function login() {
const token = document.getElementById('token').value;
if (!token.trim()) {
// Show error with fading effect
const form = document.getElementById('login-form');
const errorMsg = document.createElement('div');
errorMsg.className = 'p-3 mt-4 bg-red-900/50 text-red-200 rounded-lg border border-red-700/50 text-sm flex items-center';
errorMsg.innerHTML = '<i class="fas fa-exclamation-circle mr-2"></i> Please enter a valid token';
// Remove any existing error message
const existingError = form.querySelector('.bg-red-900/50');
if (existingError) form.removeChild(existingError);
// Add new error message with animation
form.appendChild(errorMsg);
setTimeout(() => {
errorMsg.style.opacity = '0';
errorMsg.style.transition = 'opacity 0.5s ease';
setTimeout(() => errorMsg.remove(), 500);
}, 3000);
return;
}
var date = new Date();
date.setTime(date.getTime() + (24*60*60*1000));
document.cookie = `token=${token}; expires=${date.toGMTString()}; path=/`;
// Show loading state
const button = document.querySelector('button[type="submit"]');
const originalContent = button.innerHTML;
button.disabled = true;
button.innerHTML = '<i class="fas fa-spinner fa-spin mr-2"></i> Authenticating...';
button.classList.add('bg-gray-600');
// Reload after short delay to show loading state
setTimeout(() => {
window.location.reload();
}, 800);
}
// Update current time
function updateCurrentTime() {
const timeElement = document.getElementById('current-time');
if (timeElement) {
const now = new Date();
const year = now.getUTCFullYear();
const month = String(now.getUTCMonth() + 1).padStart(2, '0');
const day = String(now.getUTCDate()).padStart(2, '0');
const hours = String(now.getUTCHours()).padStart(2, '0');
const minutes = String(now.getUTCMinutes()).padStart(2, '0');
const seconds = String(now.getUTCSeconds()).padStart(2, '0');
timeElement.textContent = `${year}-${month}-${day} ${hours}:${minutes}:${seconds}`;
}
}
// Initialize current time and update it every second
updateCurrentTime();
setInterval(updateCurrentTime, 1000);
// Add subtle particle animation to the background
document.addEventListener('DOMContentLoaded', function() {
const animContainer = document.querySelector('.animation-container');
if (animContainer) {
const canvas = document.createElement('canvas');
animContainer.appendChild(canvas);
const ctx = canvas.getContext('2d');
canvas.width = animContainer.offsetWidth;
canvas.height = animContainer.offsetHeight;
// Create particles
const particles = [];
const particleCount = 30;
for (let i = 0; i < particleCount; i++) {
particles.push({
x: Math.random() * canvas.width,
y: Math.random() * canvas.height,
radius: Math.random() * 3 + 1,
color: `rgba(${Math.random() * 50 + 50}, ${Math.random() * 100 + 100}, ${Math.random() * 155 + 100}, ${Math.random() * 0.4 + 0.1})`,
speedX: Math.random() * 0.5 - 0.25,
speedY: Math.random() * 0.5 - 0.25
});
}
// Animation loop
function animate() {
requestAnimationFrame(animate);
ctx.clearRect(0, 0, canvas.width, canvas.height);
particles.forEach(particle => {
particle.x += particle.speedX;
particle.y += particle.speedY;
// Bounce off edges
if (particle.x < 0 || particle.x > canvas.width) {
particle.speedX = -particle.speedX;
}
if (particle.y < 0 || particle.y > canvas.height) {
particle.speedY = -particle.speedY;
}
// Draw particle
ctx.beginPath();
ctx.arc(particle.x, particle.y, particle.radius, 0, Math.PI * 2);
ctx.fillStyle = particle.color;
ctx.fill();
});
// Connect nearby particles with lines
for (let i = 0; i < particles.length; i++) {
for (let j = i + 1; j < particles.length; j++) {
const dx = particles[i].x - particles[j].x;
const dy = particles[i].y - particles[j].y;
const distance = Math.sqrt(dx * dx + dy * dy);
if (distance < 100) {
ctx.beginPath();
ctx.moveTo(particles[i].x, particles[i].y);
ctx.lineTo(particles[j].x, particles[j].y);
ctx.strokeStyle = `rgba(100, 150, 255, ${0.1 * (1 - distance / 100)})`;
ctx.lineWidth = 1;
ctx.stroke();
}
}
}
}
// Start animation
animate();
// Resize handling
window.addEventListener('resize', () => {
canvas.width = animContainer.offsetWidth;
canvas.height = animContainer.offsetHeight;
});
}
});
</script>
</script>
</body>
</html>
</html>

View File

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

View File

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

View File

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

View File

@@ -95,29 +95,6 @@
90% { transform: rotate(2deg); }
100% { transform: rotate(0deg); }
}
/* Add this to your existing CSS */
.active-node {
position: relative;
overflow: hidden;
}
.active-node::before {
content: '';
position: absolute;
top: 0;
left: -100%;
width: 100%;
height: 2px;
background: linear-gradient(90deg, transparent, rgba(96, 165, 250, 0.8), transparent);
animation: nodeGlow 3s ease-in-out infinite;
}
@keyframes nodeGlow {
0% { left: -100%; }
50% { left: 100%; }
100% { left: 100%; }
}
</style>
<!-- Initialize Flowbite on HTMX content load -->

View File

@@ -1,106 +1,55 @@
<nav class="bg-gradient-to-r from-gray-900 to-gray-950 shadow-lg border-b border-gray-800/50">
<div class="container mx-auto px-4 py-3">
<nav class="bg-gray-800 shadow-lg">
<div class="container mx-auto px-4 py-4">
<div class="flex items-center justify-between">
<div class="flex items-center">
<!-- Logo Image -->
<a href="./" class="flex items-center group">
<img src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd"
alt="LocalAI Logo"
class="h-10 mr-3 rounded-lg border border-blue-600/30 shadow-md transition-all duration-300 group-hover:shadow-blue-500/20 group-hover:border-blue-500/50">
<span class="text-white text-xl font-bold bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">LocalAI</span>
</a>
<!-- Logo Image: Replace 'logo_url_here' with your actual logo URL -->
<a href="./" class="text-white text-xl font-bold"><img src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo" class="h-10 mr-3 border-2 border-gray-300 shadow rounded"></a>
<a href="./" class="text-white text-xl font-bold">LocalAI</a>
</div>
<!-- Menu button for small screens -->
<div class="lg:hidden">
<button id="menu-toggle" class="text-gray-300 hover:text-blue-400 focus:outline-none p-2 rounded-lg transition duration-300 ease-in-out hover:bg-gray-800/70">
<button id="menu-toggle" class="text-gray-400 hover:text-white focus:outline-none">
<i class="fas fa-bars fa-lg"></i>
</button>
</div>
<!-- Navigation links -->
<div class="hidden lg:flex lg:items-center lg:justify-end lg:space-x-1">
<a href="./" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fas fa-home text-blue-400 mr-2"></i>Home
</a>
<a href="browse/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fas fa-brain text-blue-400 mr-2"></i>Models
</a>
<a href="chat/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fa-solid fa-comments text-blue-400 mr-2"></i>Chat
</a>
<a href="text2image/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fas fa-image text-blue-400 mr-2"></i>Generate images
</a>
<a href="tts/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fa-solid fa-music text-blue-400 mr-2"></i>TTS
</a>
<a href="talk/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fa-solid fa-phone text-blue-400 mr-2"></i>Talk
</a>
<div class="hidden lg:flex lg:items-center lg:justify-end lg:flex-1 lg:w-0">
<a href="./" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-home pr-2"></i>Home</a>
<a href="https://localai.io" class="text-gray-400 hover:text-white px-3 py-2 rounded" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
<a href="browse/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-brain pr-2"></i> Models</a>
<a href="chat/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fa-solid fa-comments pr-2"></i> Chat</a>
<a href="text2image/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-image pr-2"></i> Generate images</a>
<a href="tts/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fa-solid fa-music pr-2"></i> TTS </a>
<a href="talk/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fa-solid fa-phone pr-2"></i> Talk </a>
{{ if .IsP2PEnabled }}
<a href="p2p/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fa-solid fa-circle-nodes text-blue-400 mr-2"></i>Swarm
</a>
<a href="p2p/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fa-solid fa-circle-nodes"></i> Swarm </a>
{{ end }}
<a href="swagger/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fas fa-code text-blue-400 mr-2"></i>API
</a>
<a href="swagger/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-code pr-2"></i> API</a>
</div>
</div>
<!-- Collapsible menu for small screens -->
<div class="hidden lg:hidden" id="mobile-menu">
<div class="pt-3 pb-2 space-y-1 border-t border-gray-800/50 mt-2">
<a href="./" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fas fa-home text-blue-400 mr-3 w-5 text-center"></i>Home
</a>
<a href="browse/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fas fa-brain text-blue-400 mr-3 w-5 text-center"></i>Models
</a>
<a href="chat/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fa-solid fa-comments text-blue-400 mr-3 w-5 text-center"></i>Chat
</a>
<a href="text2image/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fas fa-image text-blue-400 mr-3 w-5 text-center"></i>Generate images
</a>
<a href="tts/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fa-solid fa-music text-blue-400 mr-3 w-5 text-center"></i>TTS
</a>
<a href="talk/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fa-solid fa-phone text-blue-400 mr-3 w-5 text-center"></i>Talk
</a>
<div class="pt-4 pb-3 border-t border-gray-700">
<a href="./" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-home pr-2"></i>Home</a>
<a href="https://localai.io" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
<a href="browse/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-brain pr-2"></i> Models</a>
<a href="chat/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fa-solid fa-comments pr-2"></i> Chat</a>
<a href="text2image/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-image pr-2"></i> Generate images</a>
<a href="tts/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fa-solid fa-music pr-2"></i> TTS </a>
<a href="talk/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fa-solid fa-phone pr-2"></i> Talk </a>
{{ if .IsP2PEnabled }}
<a href="p2p/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fa-solid fa-circle-nodes text-blue-400 mr-3 w-5 text-center"></i>Swarm
</a>
<a href="p2p/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fa-solid fa-circle-nodes"></i> Swarm </a>
{{ end }}
<a href="swagger/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fas fa-code text-blue-400 mr-3 w-5 text-center"></i>API
</a>
<a href="swagger/" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-code pr-2"></i> API</a>
</div>
</div>
</div>
</nav>
<script>
// JavaScript to toggle the mobile menu with animation
// JavaScript to toggle the mobile menu
document.getElementById('menu-toggle').addEventListener('click', function () {
var mobileMenu = document.getElementById('mobile-menu');
if (mobileMenu.classList.contains('hidden')) {
mobileMenu.classList.remove('hidden');
// Use setTimeout to create a mild animation effect
setTimeout(function() {
mobileMenu.classList.add('opacity-100');
mobileMenu.classList.remove('opacity-0');
}, 10);
} else {
mobileMenu.classList.add('opacity-0');
mobileMenu.classList.remove('opacity-100');
// Wait for transition to finish before hiding
setTimeout(function() {
mobileMenu.classList.add('hidden');
}, 300);
}
mobileMenu.classList.toggle('hidden');
});
</script>
</script>

View File

@@ -1,75 +1,39 @@
<nav class="bg-gradient-to-r from-gray-900 to-gray-950 shadow-lg border-b border-gray-800/50">
<div class="container mx-auto px-4 py-3">
<nav class="bg-gray-800 shadow-lg">
<div class="container mx-auto px-4 py-4">
<div class="flex items-center justify-between">
<div class="flex items-center">
<!-- Logo Image -->
<a href="./" class="flex items-center group">
<img src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd"
alt="LocalAI Logo"
class="h-10 mr-3 rounded-lg border border-blue-600/30 shadow-md transition-all duration-300 group-hover:shadow-blue-500/20 group-hover:border-blue-500/50">
<span class="text-white text-xl font-bold bg-clip-text text-transparent bg-gradient-to-r from-blue-400 to-indigo-400">LocalAI</span>
</a>
<!-- Logo Image: Replace 'logo_url_here' with your actual logo URL -->
<a href="./" class="text-white text-xl font-bold"><img src="https://github.com/go-skynet/LocalAI/assets/2420543/0966aa2a-166e-4f99-a3e5-6c915fc997dd" alt="LocalAI Logo" class="h-10 mr-3 border-2 border-gray-300 shadow rounded"></a>
<a href="./" class="text-white text-xl font-bold">LocalAI</a>
</div>
<!-- Menu button for small screens -->
<div class="lg:hidden">
<button id="menu-toggle" class="text-gray-300 hover:text-blue-400 focus:outline-none p-2 rounded-lg transition duration-300 ease-in-out hover:bg-gray-800/70">
<button id="menu-toggle" class="text-gray-400 hover:text-white focus:outline-none">
<i class="fas fa-bars fa-lg"></i>
</button>
</div>
<!-- Navigation links -->
<div class="hidden lg:flex lg:items-center lg:justify-end lg:space-x-1">
<a href="./" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fas fa-home text-blue-400 mr-2"></i>Home
</a>
<a href="https://localai.io" target="_blank" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center group">
<i class="fas fa-book-reader text-blue-400 mr-2"></i>Documentation
<i class="fas fa-external-link-alt text-xs ml-1 opacity-70 group-hover:opacity-100 transition-opacity"></i>
</a>
<a href="https://models.localai.io/" class="text-gray-300 hover:text-white px-3 py-2 rounded-lg transition duration-300 ease-in-out hover:bg-blue-900/30 flex items-center">
<i class="fas fa-brain text-blue-400 mr-2"></i>Models
</a>
<div class="hidden lg:flex lg:items-center lg:justify-end lg:flex-1 lg:w-0">
<a href="./" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-home pr-2"></i>Home</a>
<a href="https://localai.io" class="text-gray-400 hover:text-white px-3 py-2 rounded" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
<a href="https://models.localai.io/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-brain pr-2"></i> Models</a>
</div>
</div>
<!-- Collapsible menu for small screens -->
<div class="hidden lg:hidden" id="mobile-menu">
<div class="pt-3 pb-2 space-y-1 border-t border-gray-800/50 mt-2">
<a href="./" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fas fa-home text-blue-400 mr-3 w-5 text-center"></i>Home
</a>
<a href="https://localai.io" target="_blank" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fas fa-book-reader text-blue-400 mr-3 w-5 text-center"></i>Documentation
<i class="fas fa-external-link-alt text-xs ml-1 opacity-70"></i>
</a>
<a href="https://models.localai.io/" class="block text-gray-300 hover:text-white hover:bg-blue-900/30 px-3 py-2 rounded-lg transition duration-300 ease-in-out flex items-center">
<i class="fas fa-brain text-blue-400 mr-3 w-5 text-center"></i>Models
</a>
<div class="pt-4 pb-3 border-t border-gray-700">
<a href="./" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1"><i class="fas fa-home pr-2"></i>Home</a>
<a href="https://localai.io" class="block text-gray-400 hover:text-white px-3 py-2 rounded mt-1" target="_blank" ><i class="fas fa-book-reader pr-2"></i> Documentation</a>
<a href="https://models.localai.io/" class="text-gray-400 hover:text-white px-3 py-2 rounded"><i class="fas fa-brain pr-2"></i> Models</a>
</div>
</div>
</div>
</nav>
<script>
// JavaScript to toggle the mobile menu with animation
// JavaScript to toggle the mobile menu
document.getElementById('menu-toggle').addEventListener('click', function () {
var mobileMenu = document.getElementById('mobile-menu');
if (mobileMenu.classList.contains('hidden')) {
mobileMenu.classList.remove('hidden');
// Use setTimeout to create a mild animation effect
setTimeout(function() {
mobileMenu.classList.add('opacity-100');
mobileMenu.classList.remove('opacity-0');
}, 10);
} else {
mobileMenu.classList.add('opacity-0');
mobileMenu.classList.remove('opacity-100');
// Wait for transition to finish before hiding
setTimeout(function() {
mobileMenu.classList.add('hidden');
}, 300);
}
mobileMenu.classList.toggle('hidden');
});
</script>
</script>

View File

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

View File

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

View File

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

View File

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

View File

@@ -1 +0,0 @@
9a020e7eadb7d8203f5b01b18756c72d94773ec9

View File

@@ -7,32 +7,14 @@ config_file: |
template:
chat_message: |-
<start_of_turn>{{if eq .RoleName "assistant" }}model{{else}}{{ .RoleName }}{{end}}
{{ if .FunctionCall -}}
Function call:
{{ else if eq .RoleName "tool" -}}
Function response:
{{ end -}}
{{ if .Content -}}
{{.Content -}}
{{ end -}}
{{ if .FunctionCall -}}
{{toJson .FunctionCall}}
{{ end -}}<end_of_turn>
chat: |
{{.Input }}
<start_of_turn>model
completion: |
{{.Input}}
function: |
<start_of_turn>system
You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
{{range .Functions}}
{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
{{end}}
For each function call return a json object with function name and arguments
<end_of_turn>
{{.Input -}}
<start_of_turn>model
stopwords:
- '<|im_end|>'
- '<end_of_turn>'

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@@ -54,6 +54,7 @@ type GrammarConfig struct {
type GrammarTrigger struct {
// Trigger is the string that triggers the grammar
Word string `yaml:"word"`
AtStart bool `yaml:"at_start"`
}
// FunctionsConfig is the configuration for the tool/function call.