Update main.py
Browse files
main.py
CHANGED
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@@ -8,103 +8,60 @@ from typing import Any, Dict, List, Optional
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import httpx
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import uvicorn
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from dotenv import load_dotenv
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-
from fastapi import FastAPI, HTTPException, Depends
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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from pydantic import BaseModel
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from starlette.middleware.cors import CORSMiddleware
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from starlette.responses import StreamingResponse, Response
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logging.basicConfig(
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level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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)
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logger = logging.getLogger(__name__)
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load_dotenv()
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app = FastAPI()
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BASE_URL = "https://aichatonlineorg.erweima.ai/aichatonline"
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APP_SECRET = os.getenv("APP_SECRET","786")
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ACCESS_TOKEN = os.getenv("SD_ACCESS_TOKEN","")
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headers = {
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'accept': '*/*',
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'accept-language': 'en-US,en;q=0.9',
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'authorization': f'Bearer {ACCESS_TOKEN}',
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'cache-control': 'no-cache',
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'origin': 'chrome-extension://difoiogjjojoaoomphldepapgpbgkhkb',
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'cookie': 'lang=en; source=gg; p1=pricing; p2=search; _clck=ih7kjx%7C2%7Cfqq%7C0%7C1774; _gcl_gs=2.1.k1$i1731168118$u7016880; _ga=GA1.1.1378917294.1731168124; _gcl_au=1.1.436410932.1731168125; _fbp=fb.1.1731168125483.909164969447382788; _gcl_aw=GCL.1731168126.EAIaIQobChMI_aOK5c_PiQMVAqSDBx2OJh5bEAAYASAAEgJr9PD_BwE; __stripe_mid=b2de6d00-4ac3-4c15-9ba8-355dd63bbdf0cbeb53; _uetsid=f73638b09eb311efa0cf6b0f13512e16; _uetvid=f73635709eb311efbd8d55293947782a; token=Bearer%20eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyX2lkIjoxNTYzMzI1NSwicmVnaXN0ZXJfdHlwZSI6Im9hdXRoMiIsImFwcF9uYW1lIjoiQ2hpdENoYXRfV2ViIiwidG9rZW5faWQiOiI2MGRmZGMwMi1lY2QzLTQzNzktYjMzNy1kYmNlNGY5M2M1N2IiLCJpc3MiOiJzaWRlci5haSIsImF1ZCI6WyIiXSwiZXhwIjoxNzYyMjcyNTk5LCJuYmYiOjE3MzExNjg1OTksImlhdCI6MTczMTE2ODU5OX0.cT9hXiCFm-4Or2RV5Lf3IY-blu40UOvjqD01BGoDwh8; refresh_token=discard; userinfo-avatar=https://chitchat-avatar.s3.amazonaws.com/eb0e281f19c442d681cf552f3b8896dd-1731167278.png; userinfo-name=Chat%20GPT%20free; userinfo-type=oauth2; CloudFront-Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cHM6Ly9maWxlLWNkbi5zaWRlci5haS8qL1UwMUFIRUc4NkVBLyoiLCJDb25kaXRpb24iOnsiRGF0ZUxlc3NUaGFuIjp7IkFXUzpFcG9jaFRpbWUiOjE3MzM3NjA2MDF9fX1dfQ__; CloudFront-Signature=fuXgBZW3E5TCNvvi8mb8DKpNTneaPIGunH~zxWPoVK~OaG-n6PRVz2qlxOFCY3HLTZyA72mQ4T2OtKCZGoWCTL4QL6DP5LnRw7HPt50K~D8Wte5M3GQjuSeuBe~mK44Sk~Xqn1tOa2dmOtri84vlLdo7ud4ZGuMML60AUve13l7eS8uAJO88cQ9rhdZMJ26opJhayI0MSJgCFZymzMm1iEwwSF3ufV5c2elpTuKqVTP2HqZGHzgJQvRl7U~gU4qFiH7KxCG0MF5X0HDsz3Pn0qghNle~FLAtCumI-mzoGNCXEM9~qpYAXJLO3a--ThhnbTrWsPLl2l~zCRiKQ5wB3g__; CloudFront-Key-Pair-Id=K344F5VVSSM536; _rdt_uuid=1731168120149.9c981ceb-cb94-490d-99d8-0f1530348c3c; _clsk=r6ig1v%7C1731170609000%7C8%7C1%7Cu.clarity.ms%2Fcollect; _ga_0PRFKME4HP=GS1.1.1731171204.2.1.1731171205.59.0.0',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'none',
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'sec-fetch-site': 'none',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36',
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}
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ALLOWED_MODELS = [
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{"id": "claude-3.5-sonnet", "name": "
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{"id": "claude-3-opus", "name": "
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{"id": "gemini-1.5-pro", "name": "
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{"id": "gpt-4o", "name": "
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{"id": "o1-preview", "name": "
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{"id": "o1-mini", "name": "
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{"id": "gpt-4o-mini", "name": "
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]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["
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allow_credentials=True,
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allow_methods=["
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allow_headers=["
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)
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security = HTTPBearer()
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class Message(BaseModel):
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role: str
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content: str
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class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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stream: Optional[bool] = False
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-
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def simulate_data(content, model):
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return {
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"id": f"chatcmpl-{uuid.uuid4()}",
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"object": "chat.completion.chunk",
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"created": int(datetime.now().timestamp()),
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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": {"content": content, "role": "assistant"},
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"finish_reason": None,
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}
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],
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"usage": None,
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}
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def stop_data(content, model):
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return {
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"id": f"chatcmpl-{uuid.uuid4()}",
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"object": "chat.completion.chunk",
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"created": int(datetime.now().timestamp()),
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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": {"content": content, "role": "assistant"},
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"finish_reason": "stop",
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}
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],
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"usage": None,
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}
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def create_chat_completion_data(content: str, model: str, finish_reason: Optional[str] = None) -> Dict[str, Any]:
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return {
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"id": f"chatcmpl-{uuid.uuid4()}",
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@@ -121,13 +78,12 @@ def create_chat_completion_data(content: str, model: str, finish_reason: Optiona
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"usage": None,
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}
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def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
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if credentials.credentials != APP_SECRET:
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raise HTTPException(status_code=403, detail="Invalid APP_SECRET")
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return credentials.credentials
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@app.options("/hf/v1/chat/completions")
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async def chat_completions_options():
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return Response(
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},
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)
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def replace_escaped_newlines(input_string: str) -> str:
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return input_string.replace("\\n", "\n")
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@app.get("/hf/v1/models")
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async def list_models():
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return {"object": "list", "data": ALLOWED_MODELS}
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@app.post("/hf/v1/chat/completions")
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async def chat_completions(
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request: ChatRequest, app_secret: str = Depends(verify_app_secret)
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logger.info(f"Received chat completion request for model: {request.model}")
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if request.model not in [model['id'] for model in ALLOWED_MODELS]:
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raise HTTPException(
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status_code=400,
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detail=f"Model {request.model} is not allowed. Allowed models are: {
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)
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# Generate a UUID
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#
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json_data = {
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'prompt': "\n".join(
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[
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f"{'User' if msg.role == 'user' else 'Assistant'}: {msg.content}"
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for msg in request.messages
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]
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'stream': True,
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'app_name': 'ChitChat_Edge_Ext',
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'app_version': '4.28.0',
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'tz_name': 'Asia/Karachi',
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'cid': 'C092SEMXM9BJ',
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'model': request.model,
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'search': False,
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'auto_search': False,
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'from': 'chat',
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'group_id': 'default',
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'prompt_template': {
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},
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},
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'tools': {
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'auto': ['text_to_image', 'data_analysis'],
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'extra_info': {
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'origin_url': 'chrome-extension://difoiogjjojoaoomphldepapgpbgkhkb/standalone.html?from=sidebar',
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'origin_title': 'Sider',
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}
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async def generate():
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async with httpx.AsyncClient() as client:
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try:
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async with client.stream(
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response.raise_for_status()
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async for line in response.aiter_lines():
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if line and ("[DONE]" not in line):
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yield f"data: {json.dumps(create_chat_completion_data('', request.model, 'stop'))}\n\n"
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yield "data: [DONE]\n\n"
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except httpx.HTTPStatusError as e:
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logger.error(f"HTTP error occurred: {e}")
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raise HTTPException(status_code=e.response.status_code, detail=str(e))
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except httpx.RequestError as e:
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logger.error(f"
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raise HTTPException(status_code=500, detail=str(e))
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if request.stream:
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full_response = ""
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async for chunk in generate():
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if chunk.startswith("data: ") and not chunk[6:].startswith("[DONE]"):
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# print(chunk)
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data = json.loads(chunk[6:])
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if data["choices"][0]["delta"].get("content"):
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full_response += data["choices"][0]["delta"]["content"]
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return {
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"id": f"chatcmpl-{uuid.uuid4()}",
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"object": "chat.completion",
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"usage": None,
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}
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uvicorn.run(app, host="0.0.0.0", port=7860)
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import httpx
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import uvicorn
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from dotenv import load_dotenv
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from fastapi import FastAPI, HTTPException, Depends, Request
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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from pydantic import BaseModel
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from starlette.middleware.cors import CORSMiddleware
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from starlette.responses import StreamingResponse, Response
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# Configure Logging
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logging.basicConfig(
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level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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)
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logger = logging.getLogger(__name__)
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# Load Environment Variables
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load_dotenv()
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APP_SECRET = os.getenv("APP_SECRET", "786")
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ACCESS_TOKEN = os.getenv("SD_ACCESS_TOKEN", "")
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# Initialize FastAPI
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app = FastAPI()
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# Define Allowed Models
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ALLOWED_MODELS = [
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{"id": "claude-3.5-sonnet", "name": "Claude 3.5 Sonnet"},
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{"id": "claude-3-opus", "name": "Claude 3 Opus"},
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{"id": "gemini-1.5-pro", "name": "Gemini 1.5 Pro"},
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{"id": "gpt-4o", "name": "GPT-4o"},
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{"id": "o1-preview", "name": "O1 Preview"},
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{"id": "o1-mini", "name": "O1 Mini"},
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{"id": "gpt-4o-mini", "name": "GPT-4o Mini"},
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]
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# Configure CORS Middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["https://yourdomain.com"], # Replace with your trusted domains
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allow_credentials=True,
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allow_methods=["POST", "OPTIONS"],
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allow_headers=["Content-Type", "Authorization"],
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)
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# Security Scheme
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security = HTTPBearer()
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# Pydantic Models
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class Message(BaseModel):
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role: str
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content: str
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class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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stream: Optional[bool] = False
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# Helper Functions
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def create_chat_completion_data(content: str, model: str, finish_reason: Optional[str] = None) -> Dict[str, Any]:
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return {
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"id": f"chatcmpl-{uuid.uuid4()}",
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"usage": None,
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}
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def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
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if credentials.credentials != APP_SECRET:
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raise HTTPException(status_code=403, detail="Invalid APP_SECRET")
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return credentials.credentials
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# Routes
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@app.options("/hf/v1/chat/completions")
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async def chat_completions_options():
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return Response(
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},
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)
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@app.get("/hf/v1/models")
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async def list_models():
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return {"object": "list", "data": ALLOWED_MODELS}
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@app.post("/hf/v1/chat/completions")
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async def chat_completions(
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request: ChatRequest, app_secret: str = Depends(verify_app_secret)
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logger.info(f"Received chat completion request for model: {request.model}")
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if request.model not in [model['id'] for model in ALLOWED_MODELS]:
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allowed = ', '.join(model['id'] for model in ALLOWED_MODELS)
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raise HTTPException(
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status_code=400,
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detail=f"Model '{request.model}' is not allowed. Allowed models are: {allowed}",
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)
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# Generate a UUID
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uuid_str = str(uuid.uuid4()).replace("-", "")
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# Prepare Headers (Move sensitive data to environment variables or secure storage)
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headers = {
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| 120 |
+
'accept': '*/*',
|
| 121 |
+
'accept-language': 'en-US,en;q=0.9',
|
| 122 |
+
'authorization': f'Bearer {ACCESS_TOKEN}',
|
| 123 |
+
'cache-control': 'no-cache',
|
| 124 |
+
'origin': 'chrome-extension://difoiogjjojoaoomphldepapgpbgkhkb',
|
| 125 |
+
'pragma': 'no-cache',
|
| 126 |
+
'priority': 'u=1, i',
|
| 127 |
+
'sec-fetch-dest': 'empty',
|
| 128 |
+
'sec-fetch-mode': 'cors',
|
| 129 |
+
'sec-fetch-site': 'none',
|
| 130 |
+
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36',
|
| 131 |
+
}
|
| 132 |
|
| 133 |
+
# Prepare JSON Payload
|
| 134 |
json_data = {
|
| 135 |
'prompt': "\n".join(
|
| 136 |
[
|
| 137 |
f"{'User' if msg.role == 'user' else 'Assistant'}: {msg.content}"
|
| 138 |
for msg in request.messages
|
| 139 |
]
|
| 140 |
+
),
|
| 141 |
'stream': True,
|
| 142 |
'app_name': 'ChitChat_Edge_Ext',
|
| 143 |
'app_version': '4.28.0',
|
| 144 |
'tz_name': 'Asia/Karachi',
|
| 145 |
'cid': 'C092SEMXM9BJ',
|
| 146 |
'model': request.model,
|
| 147 |
+
'search': False,
|
| 148 |
+
'auto_search': False,
|
| 149 |
'from': 'chat',
|
| 150 |
'group_id': 'default',
|
| 151 |
'prompt_template': {
|
| 152 |
+
'key': 'artifacts',
|
| 153 |
+
'attributes': {
|
| 154 |
+
'lang': 'original',
|
| 155 |
+
},
|
| 156 |
},
|
|
|
|
| 157 |
'tools': {
|
| 158 |
+
'auto': ['text_to_image', 'data_analysis'],
|
| 159 |
+
},
|
| 160 |
'extra_info': {
|
| 161 |
'origin_url': 'chrome-extension://difoiogjjojoaoomphldepapgpbgkhkb/standalone.html?from=sidebar',
|
| 162 |
'origin_title': 'Sider',
|
| 163 |
+
},
|
| 164 |
+
}
|
|
|
|
|
|
|
| 165 |
|
| 166 |
async def generate():
|
| 167 |
async with httpx.AsyncClient() as client:
|
| 168 |
try:
|
| 169 |
+
async with client.stream(
|
| 170 |
+
'POST',
|
| 171 |
+
'https://sider.ai/api/v2/completion/text',
|
| 172 |
+
headers=headers,
|
| 173 |
+
json=json_data,
|
| 174 |
+
timeout=120.0
|
| 175 |
+
) as response:
|
| 176 |
response.raise_for_status()
|
| 177 |
async for line in response.aiter_lines():
|
| 178 |
if line and ("[DONE]" not in line):
|
| 179 |
+
# Assuming the response starts with some prefix, adjust accordingly
|
| 180 |
+
try:
|
| 181 |
+
data = json.loads(line[5:]).get("data", {})
|
| 182 |
+
content = data.get("text", "")
|
| 183 |
+
yield f"data: {json.dumps(create_chat_completion_data(content, request.model))}\n\n"
|
| 184 |
+
except json.JSONDecodeError as e:
|
| 185 |
+
logger.error(f"JSON decode error: {e}")
|
| 186 |
+
# Indicate the end of the stream
|
| 187 |
yield f"data: {json.dumps(create_chat_completion_data('', request.model, 'stop'))}\n\n"
|
| 188 |
yield "data: [DONE]\n\n"
|
| 189 |
except httpx.HTTPStatusError as e:
|
| 190 |
logger.error(f"HTTP error occurred: {e}")
|
| 191 |
raise HTTPException(status_code=e.response.status_code, detail=str(e))
|
| 192 |
except httpx.RequestError as e:
|
| 193 |
+
logger.error(f"Request error occurred: {e}")
|
| 194 |
raise HTTPException(status_code=500, detail=str(e))
|
| 195 |
|
| 196 |
if request.stream:
|
|
|
|
| 201 |
full_response = ""
|
| 202 |
async for chunk in generate():
|
| 203 |
if chunk.startswith("data: ") and not chunk[6:].startswith("[DONE]"):
|
|
|
|
| 204 |
data = json.loads(chunk[6:])
|
| 205 |
if data["choices"][0]["delta"].get("content"):
|
| 206 |
full_response += data["choices"][0]["delta"]["content"]
|
| 207 |
+
|
| 208 |
return {
|
| 209 |
"id": f"chatcmpl-{uuid.uuid4()}",
|
| 210 |
"object": "chat.completion",
|
|
|
|
| 220 |
"usage": None,
|
| 221 |
}
|
| 222 |
|
| 223 |
+
# Remove the Uvicorn run block for production deployment
|
| 224 |
+
# if __name__ == "__main__":
|
| 225 |
+
# uvicorn.run(app, host="0.0.0.0", port=7860)
|
|
|