Update app.py

app.py

@@ -4,7 +4,6 @@ import gradio as gr
 import numpy as np
 from dotenv import load_dotenv
 from elevenlabs import ElevenLabs
-from fastapi import FastAPI
 from fastrtc import (
     Stream,
     get_stt_model,
@@ -169,7 +168,7 @@ rtc_configuration = {
     "iceCandidatePoolSize": 10
 }
 
-# Create Gradio chatbot and stream - following the exact cookbook pattern
+# Create Gradio chatbot and stream
 chatbot = gr.Chatbot(type="messages")
 stream = Stream(
     modality="audio",
@@ -184,20 +183,11 @@ stream = Stream(
     ui_args={"title": "LLM Voice Chat (Powered by DeepSeek & ElevenLabs)"}
 )
 
-# Mount the Stream UI to FastAPI
-app = FastAPI()
-app = gr.mount_gradio_app(app, stream.ui, path="/")
+# Export the UI for Hugging Face Spaces
+demo = stream.ui
 
-# Only for local development
-if __name__ == "__main__":
+# For local development only
+if __name__ == "__main__" and not get_space():
     import uvicorn
-    
     os.environ["GRADIO_SSR_MODE"] = "false"
-    
-    if get_space():
-        # When running in HF Spaces, use their port and host
-        port = int(os.environ.get("PORT", 7860))
-        uvicorn.run(app, host="0.0.0.0", port=port)
-    else:
-        # For local development
-        stream.ui.launch(server_port=7860)
+    stream.ui.launch(server_port=7860)