update

app.py

@@ -1,12 +1,10 @@
 import os
 from fastapi import FastAPI, Request
-from fastapi.responses import FileResponse, JSONResponse
+from fastapi.responses import JSONResponse
 from fastapi.staticfiles import StaticFiles
 import httpx
 
 app = FastAPI()
-
-# Serve static files (your 3D app)
 app.mount("/", StaticFiles(directory="static", html=True), name="static")
 
 HF_TOKEN = os.environ.get("HF_TOKEN")
@@ -23,7 +21,6 @@ async def ask(request: Request):
         "messages": [{"role": "user", "content": question}],
         "max_tokens": 256
     }
-    # Use a chat model (change as needed)
     async with httpx.AsyncClient() as client:
         resp = await client.post(
             "https://api-inference.huggingface.co/models/meta-llama/Llama-3.1-8B-Instruct",
@@ -33,12 +30,11 @@ async def ask(request: Request):
         )
     if resp.status_code == 200:
         data = resp.json()
-        # Extract the answer depending on the model's response format
         try:
             answer = data["choices"][0]["message"]["content"]
         except Exception:
             answer = str(data)
         return {"answer": answer}
     else:
-        return JSONResponse({"error": "Failed to get AI response"}, status_code
-                            =500)
+        return JSONResponse({"error": "Failed to get AI response"}, status_code=
+                            500)