app.py

from fastapi import FastAPI, HTTPException
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
import requests
import json
from typing import AsyncIterator

app = FastAPI()

# Define the request model
class ChatRequest(BaseModel):
    messages: list = [{"role": "user", "content": "Lol full form"}]
    model: str = "gemini-1.5-pro-latest"
    temperature: float = 1.0
    top_p: float = 0.8
    max_tokens: int = 4000

# Define the URL and headers
url = "https://chat.typegpt.net/api/openai/v1/chat/completions"
headers = {
    "Accept": "application/json, text/event-stream",
    "Content-Type": "application/json",
    "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 Edg/130.0.0.0",
}

@app.post("/chat")
async def chat(request: ChatRequest):
    # Define the payload
    payload = {
        "messages": request.messages,
        "stream": True,
        "model": request.model,
        "temperature": request.temperature,
        "top_p": request.top_p,
        "max_tokens": request.max_tokens
    }

    # Make the POST request with streaming
    try:
        response = requests.post(url, headers=headers, data=json.dumps(payload), stream=True)

        # Check if the request was successful
        if response.status_code == 200:
            async def event_stream() -> AsyncIterator[str]:
                # Stream the response line by line
                for line in response.iter_lines():
                    if line:
                        # Decode the line
                        decoded_line = line.decode('utf-8')
                        # Check if the line starts with "data: "
                        if decoded_line.startswith("data: "):
                            try:
                                data = json.loads(line[len('data: '):])
                                content = data.get("choices", [{}])[0].get("delta", {}).get("content", '')
                                    if content:
                                        yield f"{json.dumps({'response': content})}\n\n"
                            except json.JSONDecodeError:
                                continue

            return StreamingResponse(event_stream(), media_type="text/event-stream")
        else:
            raise HTTPException(status_code=response.status_code, detail=response.text)
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8083)