Check point 4

app.py

@@ -10,7 +10,7 @@ import torchaudio
 from scipy.spatial.distance import cosine
 from RealtimeSTT import AudioToTextRecorder
 from fastapi import FastAPI, APIRouter
-from fastrtc import Stream, ReplyOnPause, StreamHandler
+from fastrtc import Stream, ReplyOnPause, StreamHandler, get_cloudflare_turn_credentials_async, get_cloudflare_turn_credentials
 import json
 import asyncio
 import uvicorn
@@ -714,6 +714,8 @@ stream = Stream(
     handler=ReplyOnPause(diarization_handler),
     modality="audio",
     mode="send-receive",
+    rtc_configuration=get_cloudflare_turn_credentials_async,
+    server_rtc_configuration=get_cloudflare_turn_credentials(ttl=360_000),
     ui_args={
         "title": "Real-time Speaker Diarization",
         "description": "Live transcription with automatic speaker identification"
@@ -723,12 +725,14 @@ stream = Stream(
 # Main execution
 if __name__ == "__main__":
     import argparse
+    import os
     
     parser = argparse.ArgumentParser(description="Real-time Speaker Diarization System")
     parser.add_argument("--mode", choices=["ui", "api", "both"], default="ui", 
                        help="Run mode: FastRTC UI, API only, or both")
     parser.add_argument("--host", default="0.0.0.0", help="Host to bind to")
-    parser.add_argument("--port", type=int, default=7860, help="Port to bind to")
+    parser.add_argument("--port", type=int, default=int(os.environ.get("GRADIO_SERVER_PORT", 7860)), 
+                      help="Port to bind to")
     parser.add_argument("--api-port", type=int, default=8000, help="API port (when running both)")
     
     args = parser.parse_args()