Update app.py

app.py

@@ -7,6 +7,8 @@ import faiss
 import numpy as np
 from sentence_transformers import SentenceTransformer
 import requests
+import nest_asyncio
+import uvicorn
 
 # ✅ Load RAG-related files
 with open("texts.json", "r", encoding="utf-8") as f:
@@ -15,7 +17,6 @@ with open("texts.json", "r", encoding="utf-8") as f:
 index = faiss.read_index("faiss_index.bin")
 embed_model = SentenceTransformer("all-MiniLM-L6-v2")
 
-# ✅ Use your OpenRouter API key from environment
 API_KEY = os.environ.get("OPENROUTER_API_KEY")
 MODEL = "qwen/qwen-2.5-coder-32b-instruct:free"
 
@@ -67,7 +68,7 @@ async def chat_api(request: Request):
     response = chat_fn(message, history)
     return JSONResponse(content={"response": response})
 
-# ✅ Gradio Chat Interface
+# ✅ Gradio Interface
 demo = gr.ChatInterface(
     fn=chat_fn,
     title="CODEX MIRXA KAMRAN",
@@ -75,7 +76,10 @@ demo = gr.ChatInterface(
     theme="soft"
 )
 
-# ✅ Mount Gradio in FastAPI
-@app.get("/")
-def gradio_app():
-    return gr.mount_gradio_app(app, demo, path="/")
+# ✅ Mount Gradio at root
+app = gr.mount_gradio_app(app, demo, path="/")
+
+# ✅ For local dev (optional on Hugging Face)
+if __name__ == "__main__":
+    nest_asyncio.apply()
+    uvicorn.run(app, host="0.0.0.0", port=7860)