Added rtc_configuration

requirements.txt

@@ -1,7 +1,8 @@
 fastrtc
 fastrtc[vad]
 openpyxl
-protobuf 
+protobuf
+python-dotenv 
 scipy
 sentencepiece
 torchaudio

src/app.py

@@ -1,3 +1,5 @@
+import os
+
 from pathlib import Path
 
 import pandas as pd
@@ -8,10 +10,26 @@ import numpy as np
 
 import gradio as gr
 
-from fastrtc import WebRTC, ReplyOnPause
+from dotenv import load_dotenv
+from fastrtc import (
+    get_cloudflare_turn_credentials_async,
+    get_cloudflare_turn_credentials,
+    WebRTC,
+    ReplyOnPause,
+)
 from transformers import AutoProcessor, SeamlessM4Tv2Model
 
 
+load_dotenv(override=True)
+
+# HF_TOKEN
+HF_TOKEN = os.getenv("HF_TOKEN")
+
+
+async def get_credentials():
+    return await get_cloudflare_turn_credentials_async(hf_token=HF_TOKEN)
+
+
 parent_dir = Path(__file__).parents[1]
 config_path = Path(parent_dir, "configs")
 
@@ -179,6 +197,10 @@ with gr.Blocks(
                     modality="audio",
                     mode="send-receive",
                     label="Audio Stream",
+                    rtc_configuration=get_credentials,
+                    server_rtc_configuration=get_cloudflare_turn_credentials(
+                        ttl=360_000
+                    ),
                 )
 
                 # Trigger on pause