Code

app.py

@@ -7,6 +7,7 @@ import gradio as gr
 import huggingface_hub
 import numpy as np
 from dotenv import load_dotenv
+import requests
 from fastapi import FastAPI
 from fastapi.responses import HTMLResponse, StreamingResponse
 from fastrtc import (
@@ -30,6 +31,26 @@ client = huggingface_hub.InferenceClient(
 )
 stt_model = get_stt_model()
 
+ttl = 86400 # Can modify TTL, here it's set to 24 hours
+
+turn_key_id = os.environ.get("TWILIO_ACCOUNT_SID")
+turn_key_api_token = os.environ.get("TWILIO_AUTH_TOKEN")
+
+response = requests.post(
+    f"https://rtc.live.cloudflare.com/v1/turn/keys/{turn_key_id}/credentials/generate-ice-servers",
+    headers={
+        "Authorization": f"Bearer {turn_key_api_token}",
+        "Content-Type": "application/json",
+    },
+    json={"ttl": ttl},  
+)
+if response.ok:
+    rtc_configuration = response.json()
+else:
+    raise Exception(
+        f"Failed to get TURN credentials: {response.status_code} {response.text}"
+    )
+
 
 def response(
     audio: tuple[int, np.ndarray],
@@ -75,7 +96,7 @@ stream = Stream(
     additional_outputs=[chatbot, state],
     additional_outputs_handler=lambda *a: (a[2], a[3]),
     concurrency_limit=20 if get_space() else None,
-    rtc_configuration=get_twilio_turn_credentials() if get_space() else None,
+    rtc_configuration=rtc_configuration,
 )
 
 app = FastAPI()
@@ -95,7 +116,7 @@ class InputData(BaseModel):
 
 @app.get("/")
 async def _():
-    rtc_config = get_twilio_turn_credentials() if get_space() else None
+    rtc_config = rtc_configuration
     html_content = (curr_dir / "index.html").read_text()
     html_content = html_content.replace("__RTC_CONFIGURATION__", json.dumps(rtc_config))
     return HTMLResponse(content=html_content)

requirements.txt

@@ -1,4 +1,4 @@
-fastrtc[vad, stt]
+fastrtc[vad,stt]@https://huggingface.co/datasets/freddyaboulton/bucket/resolve/main/wheels/fastrtc/fastrtc-0.0.17rc1-py3-none-any.whl
 python-dotenv
 huggingface_hub>=0.29.0
 twilio