Update app.py
Browse files
app.py
CHANGED
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from fastapi import FastAPI, Request, HTTPException
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from fastapi.responses import JSONResponse, StreamingResponse
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from typing import List
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import g4f
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@@ -9,17 +9,24 @@ import uuid
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import time
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import asyncio
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# =====================================================
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#
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# =====================================================
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API_KEY = "sk-
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# =====================================================
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#
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# =====================================================
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app = FastAPI(
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app.add_middleware(
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CORSMiddleware,
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@@ -29,20 +36,21 @@ app.add_middleware(
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allow_headers=["*"],
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)
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# =====================================================
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# MODELS
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# =====================================================
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MODELS = [
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"gpt-4o-mini",
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"gpt-4",
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"claude-3-haiku",
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"llama-3.1-70b",
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]
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# =====================================================
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# REQUEST
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# =====================================================
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class Message(BaseModel):
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role: str
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@@ -52,29 +60,39 @@ class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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stream: bool = False
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# =====================================================
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# AUTH
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# =====================================================
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def verify_api_key(req: Request):
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auth = req.headers.get("Authorization")
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if not auth:
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if not auth.startswith("Bearer "):
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raise HTTPException(
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token = auth.replace("Bearer ", "")
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if token != API_KEY:
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raise HTTPException(
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# =====================================================
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# ROOT
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# =====================================================
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@app.get("/")
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async def root():
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@@ -84,9 +102,9 @@ async def root():
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"provider": "Duck.ai"
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}
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# =====================================================
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# MODELS
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# =====================================================
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@app.get("/v1/models")
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async def models():
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]
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}
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# =====================================================
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# STREAM
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# =====================================================
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async def
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try:
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response =
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model=model,
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provider=g4f.Provider.DuckDuckGo,
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messages=messages,
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@@ -130,9 +149,11 @@ async def stream_generator(model, messages):
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"model": model,
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"choices": [
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{
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"delta": {
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"content": chunk
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}
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}
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]
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}
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except Exception as e:
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-
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"error": {
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"message": str(e)
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}
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}
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yield f"data: {json.dumps(
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# =====================================================
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# CHAT
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# =====================================================
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@app.post("/v1/chat/completions")
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async def
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verify_api_key(req)
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@@ -170,27 +195,32 @@ async def chat(req: Request, body: ChatRequest):
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for m in body.messages
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]
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# =================================================
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# STREAM
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# =================================================
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if body.stream:
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return StreamingResponse(
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body.model,
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messages
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),
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media_type="text/event-stream"
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)
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# =================================================
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# NORMAL
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# =================================================
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try:
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response =
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model=body.model,
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provider=g4f.Provider.DuckDuckGo,
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messages=messages
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"model": body.model,
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"choices": [
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{
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"message": {
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"role": "assistant",
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"content": response
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}
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}
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]
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})
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raise HTTPException(
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status_code=500,
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detail=str(e)
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)
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from fastapi import FastAPI, Request, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, JSONResponse
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from pydantic import BaseModel
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from typing import List
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import g4f
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import time
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import asyncio
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# =====================================================
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# CONFIG
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# =====================================================
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API_KEY = "sk-your-secret-key"
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# =====================================================
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# FASTAPI
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# =====================================================
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app = FastAPI(
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title="Universal AI Gateway",
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version="2.1.0"
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)
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# =====================================================
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# CORS
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# =====================================================
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app.add_middleware(
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CORSMiddleware,
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allow_headers=["*"],
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)
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# =====================================================
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# MODELS
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# =====================================================
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MODELS = [
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"gpt-4o-mini",
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"gpt-4",
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"claude-3-haiku",
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"llama-3.1-70b",
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"mixtral-8x7b"
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]
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# =====================================================
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# REQUEST MODELS
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# =====================================================
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class Message(BaseModel):
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role: str
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model: str
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messages: List[Message]
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stream: bool = False
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temperature: float = 0.7
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max_tokens: int = 4096
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# =====================================================
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# AUTH
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# =====================================================
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def verify_api_key(req: Request):
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auth = req.headers.get("Authorization")
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if not auth:
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return True
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if not auth.startswith("Bearer "):
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raise HTTPException(
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status_code=401,
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detail="Invalid Authorization Format"
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)
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token = auth.replace("Bearer ", "")
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if token != API_KEY:
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raise HTTPException(
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status_code=403,
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detail="Invalid API Key"
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)
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return True
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# =====================================================
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# ROOT
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# =====================================================
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@app.get("/")
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async def root():
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"provider": "Duck.ai"
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}
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# =====================================================
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# MODELS ENDPOINT
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# =====================================================
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@app.get("/v1/models")
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async def models():
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]
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}
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# =====================================================
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# STREAM GENERATOR
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# =====================================================
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async def generate_stream(model, messages):
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try:
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response = await asyncio.to_thread(
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g4f.ChatCompletion.create,
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model=model,
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provider=g4f.Provider.DuckDuckGo,
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messages=messages,
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"model": model,
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"choices": [
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{
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"index": 0,
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"delta": {
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"content": str(chunk)
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},
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"finish_reason": None
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}
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]
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}
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except Exception as e:
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error_payload = {
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"error": {
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"message": str(e),
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"type": "server_error"
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}
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}
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yield f"data: {json.dumps(error_payload)}\n\n"
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# =====================================================
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# CHAT COMPLETIONS
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# =====================================================
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@app.post("/v1/chat/completions")
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async def chat_completions(
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req: Request,
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body: ChatRequest
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):
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verify_api_key(req)
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for m in body.messages
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]
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# =================================================
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# STREAM
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# =================================================
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if body.stream:
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return StreamingResponse(
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generate_stream(
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body.model,
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messages
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media_type="text/event-stream",
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headers={
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"Cache-Control": "no-cache",
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"X-Accel-Buffering": "no"
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}
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)
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# =================================================
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# NORMAL RESPONSE
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# =================================================
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try:
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response = await asyncio.to_thread(
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g4f.ChatCompletion.create,
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model=body.model,
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provider=g4f.Provider.DuckDuckGo,
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messages=messages
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"model": body.model,
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": str(response)
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},
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"finish_reason": "stop"
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}
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]
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})
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raise HTTPException(
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status_code=500,
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detail=str(e)
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)
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# =====================================================
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# RUN
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# =====================================================
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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app,
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host="0.0.0.0",
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port=7860
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)
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