app.py

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
import requests
import json
import os
import uvicorn

# Configuration
TOKEN = os.getenv("POLLINATIONS_TOKEN")
POLLINATIONS_URL = "https://text.pollinations.ai/openai"

app = FastAPI(title="Pollinations OpenAI API")

# CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["*"],
    allow_headers=["*"],
)

@app.get("/")
async def root():
    return {
        "message": "Pollinations OpenAI Compatible API",
        "status": "running",
        "endpoints": {
            "models": "/models",
            "chat": "/chat/completions"
        }
    }

@app.get("/models")
async def get_models():
    """Models endpoint - यहीं missing था!"""
    return {
        "object": "list",
        "data": [
            {"id": "openai", "object": "model", "owned_by": "pollinations"},
            {"id": "llama", "object": "model", "owned_by": "pollinations"},
            {"id": "mistral", "object": "model", "owned_by": "pollinations"},
            {"id": "gemini", "object": "model", "owned_by": "pollinations"},
            {"id": "deepseek", "object": "model", "owned_by": "pollinations"}
        ]
    }

@app.post("/chat/completions")
async def chat_completions(data: dict):
    """Chat endpoint"""
    model = data.get("model", "openai")
    messages = data.get("messages", [])
    temperature = data.get("temperature", 0.7)
    
    payload = {
        "model": model,
        "messages": messages,
        "temperature": temperature,
        "referrer": "hf-api"
    }
    
    headers = {"Content-Type": "application/json"}
    if TOKEN:
        headers["Authorization"] = f"Bearer {TOKEN}"
    
    try:
        response = requests.post(POLLINATIONS_URL, json=payload, headers=headers, timeout=60)
        result = response.json()
        
        return {
            "id": "chatcmpl-123",
            "object": "chat.completion",
            "model": model,
            "choices": [{
                "index": 0,
                "message": {
                    "role": "assistant",
                    "content": result["choices"][0]["message"]["content"]
                },
                "finish_reason": "stop"
            }]
        }
    except Exception as e:
        return {"error": str(e)}

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=7860)