Update app.py

app.py

@@ -1,37 +1,72 @@
-from fastapi import FastAPI
+from fastapi import FastAPI, Request, HTTPException
+from fastapi.responses import JSONResponse
 from pydantic import BaseModel
 import os
+import httpx # A modern, async HTTP client
 
 app = FastAPI()
 
-# Example: Simple data model for requests
-class Item(BaseModel):
-    name: str
-    description: str | None = None
-    price: float
-    tax: float | None = None
-
-# Root endpoint
-@app.get("/")
-def read_root():
-    return {"message": "Hello from your Hugging Face Space backend!"}
-
-# Example: An API endpoint that processes data
-@app.post("/items/")
-async def create_item(item: Item):
-    # Simulate some processing
-    processed_price = item.price * (1 + (item.tax or 0))
-    return {"item_name": item.name, "processed_price": processed_price, "status": "processed"}
-
-# Example: Accessing a secret (from Hugging Face Space secrets)
-@app.get("/secret-data/")
-def get_secret_data():
-    secret_value = os.getenv("MY_SECRET_KEY", "Secret not found or not set")
-    return {"secret_info": f"The secret is: {secret_value}"}
-
-# It's crucial for Hugging Face Spaces that your app listens on port 7860
-# Uvicorn (ASGI server for FastAPI) will handle this, but ensure your Dockerfile
-# and command are configured to expose this port.
+# Configuration from environment variables/secrets
+OMNI_API_KEY = os.getenv("OMNI_API_KEY")
+OMNI_BASE_URL = "https://user669-omniapi.hf.space" # The base URL for the external API
+CHAT_COMPLETIONS_PATH = "/chat/completions" # The specific endpoint path
+DEFAULT_MODEL = "gpt-4o" # The default model you want to use
+
+# Basic input model for the chat completions request
+class ChatRequest(BaseModel):
+    messages: list[dict]
+    model: str = DEFAULT_MODEL
+    # You can add other parameters here if your API supports them, e.g., temperature, max_tokens
+    # temperature: float = 0.7
+    # max_tokens: int = 150
+
+@app.on_event("startup")
+async def startup_event():
+    # Check if API key is loaded
+    if not OMNI_API_KEY:
+        print("CRITICAL ERROR: OMNI_API_KEY not found in environment variables.")
+        # In a production app, you might want to stop the service or log more aggressively
+        # For Spaces, it will just start but requests to /chat will fail.
+
+@app.post("/chat")
+async def chat_proxy(request: ChatRequest):
+    if not OMNI_API_KEY:
+        raise HTTPException(status_code=500, detail="API key not configured.")
+
+    headers = {
+        "Authorization": f"Bearer {OMNI_API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    payload = {
+        "model": request.model,
+        "messages": request.messages,
+        # Add any other parameters from ChatRequest here if they are part of the payload
+        # "temperature": request.temperature,
+        # "max_tokens": request.max_tokens,
+    }
+
+    full_url = f"{OMNI_BASE_URL}{CHAT_COMPLETIONS_PATH}"
+
+    async with httpx.AsyncClient() as client:
+        try:
+            response = await client.post(full_url, json=payload, headers=headers, timeout=60.0) # Add a timeout
+            response.raise_for_status() # Raise an exception for HTTP errors (4xx or 5xx)
+            return JSONResponse(content=response.json())
+        except httpx.RequestError as exc:
+            raise HTTPException(status_code=500, detail=f"An error occurred while requesting: {exc.request.url!r}.")
+        except httpx.HTTPStatusError as exc:
+            raise HTTPException(status_code=exc.response.status_code, detail=f"Error response {exc.response.status_code} from {exc.request.url!r}: {exc.response.text}")
+        except Exception as e:
+            # Catch any other unexpected errors
+            raise HTTPException(status_code=500, detail=f"An unexpected error occurred: {str(e)}")
+
+# Health check endpoint (optional but good practice)
+@app.get("/health")
+def health_check():
+    return {"status": "ok"}
+
+# Ensure the app listens on port 7860 for Hugging Face Spaces
 if __name__ == "__main__":
     import uvicorn
     uvicorn.run(app, host="0.0.0.0", port=7860)