Create app.py

app.py

@@ -0,0 +1,23 @@
+import os
+import numpy as np
+from fastrtc import ReplyOnPause, Stream, get_hf_turn_credentials
+
+
+def detection(audio: tuple[int, np.ndarray]):
+    # Implement any iterator that yields audio
+    # See "LLM Voice Chat" for a more complete example
+    yield audio
+
+
+stream = Stream(
+    handler=ReplyOnPause(detection),
+    modality="audio",
+    mode="send-receive",
+    concurrency_limit=5,
+    rtc_configuration=get_hf_turn_credentials,
+    server_rtc_configuration=get_hf_turn_credentials(ttl=3_600 * 24 * 10),
+    time_limit=90,
+)
+
+if __name__ == "__main__":
+    stream.ui.launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 8080)))