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Update app.py
Browse files
app.py
CHANGED
@@ -3,19 +3,15 @@ from fastapi.responses import StreamingResponse
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from pydantic import BaseModel
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from typing import List
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from g4f import ChatCompletion
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from slowapi import Limiter
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from slowapi.util import get_remote_address
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app = FastAPI()
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# Initialize the rate limiter
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limiter = Limiter(key_func=get_remote_address)
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# List of available models
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models = [
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"gpt-4o", "gpt-4o-mini", "gpt-4",
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"gpt-4-turbo", "gpt-3.5-turbo",
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"claude-3.7-sonnet", "o3-mini", "o1", "claude-3.5",
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]
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# Request model
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@@ -26,7 +22,7 @@ class Message(BaseModel):
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class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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streaming: bool = True
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class ChatResponse(BaseModel):
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role: str
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@@ -34,7 +30,7 @@ class ChatResponse(BaseModel):
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# Dependency to check API key
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async def verify_api_key(x_api_key: str = Header(...)):
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if x_api_key != "
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raise HTTPException(status_code=403, detail="Invalid API key")
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@app.get("/v1/models", tags=["Models"])
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@@ -43,12 +39,14 @@ async def get_models():
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return {"models": models}
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@app.post("/v1/chat/completions", tags=["Chat Completion"])
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@limiter.limit("10/minute") # Rate limit to 10 requests per minute
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async def chat_completion(
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request: Request,
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chat_request: ChatRequest,
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api_key: str = Depends(verify_api_key)
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):
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# Validate model
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if chat_request.model not in models:
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raise HTTPException(status_code=400, detail="Invalid model selected.")
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@@ -67,34 +65,37 @@ async def chat_completion(
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response = ChatCompletion.create(
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model=chat_request.model,
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messages=formatted_messages,
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stream=True
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)
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for chunk in response:
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if isinstance(chunk, dict) and 'choices' in chunk:
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for choice in chunk['choices']:
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if '
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yield f"data: {choice['
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else:
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yield f"data: {chunk}\n\n"
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return StreamingResponse(event_stream(), media_type="text/event-stream")
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else:
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# Non-streaming response
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response = ChatCompletion.create(
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model=chat_request.model,
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messages=formatted_messages
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)
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if isinstance(response, str):
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else:
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response_content = response['choices'][0]['message']['content']
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except (IndexError, KeyError):
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raise HTTPException(status_code=500, detail="Unexpected response structure.")
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return ChatResponse(role="assistant", content=response_content)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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from pydantic import BaseModel
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from typing import List
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from g4f import ChatCompletion
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app = FastAPI()
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# List of available models
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models = [
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"gpt-4o", "gpt-4o-mini", "gpt-4",
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"gpt-4-turbo", "gpt-3.5-turbo",
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"claude-3.7-sonnet", "o3-mini", "o1", "claude-3.5",
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"llama-3.1-405b"
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]
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# Request model
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class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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streaming: bool = True
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class ChatResponse(BaseModel):
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role: str
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# Dependency to check API key
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async def verify_api_key(x_api_key: str = Header(...)):
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if x_api_key != "fb207532285886a5568298b4b4e61124":
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raise HTTPException(status_code=403, detail="Invalid API key")
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@app.get("/v1/models", tags=["Models"])
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return {"models": models}
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@app.post("/v1/chat/completions", tags=["Chat Completion"])
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async def chat_completion(
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chat_request: ChatRequest,
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api_key: str = Depends(verify_api_key)
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):
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"""
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Handle chat completion requests with optional streaming.
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Removed rate limiting for unrestricted access.
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"""
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# Validate model
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if chat_request.model not in models:
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raise HTTPException(status_code=400, detail="Invalid model selected.")
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response = ChatCompletion.create(
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model=chat_request.model,
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messages=formatted_messages,
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stream=True
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)
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for chunk in response:
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if isinstance(chunk, dict) and 'choices' in chunk:
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for choice in chunk['choices']:
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if 'delta' in choice and 'content' in choice['delta']:
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yield f"data: {json.dumps({'content': choice['delta']['content']})}\n\n"
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elif 'message' in choice:
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yield f"data: {json.dumps({'content': choice['message']['content']})}\n\n"
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else:
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yield f"data: {json.dumps({'content': str(chunk)})}\n\n"
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return StreamingResponse(event_stream(), media_type="text/event-stream")
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else:
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# Non-streaming response
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response = ChatCompletion.create(
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model=chat_request.model,
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messages=formatted_messages,
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stream=False
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)
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if isinstance(response, str):
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return ChatResponse(role="assistant", content=response)
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elif isinstance(response, dict) and 'choices' in response:
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return ChatResponse(
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role="assistant",
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content=response['choices'][0]['message']['content']
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)
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else:
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raise HTTPException(status_code=500, detail="Unexpected response structure.")
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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