Create app.py

app.py

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+import time
+import numpy as np
+import gradio as gr
+import random
+
+from fastrtc import AdditionalOutputs, WebRTC, ReplyOnPause
+
+possible_responses = [
+    "hello",
+    "hi",
+    "how's it going?",
+    "what's up?",
+    "how's your day?",
+    "how are you?",
+    "what's your name?",
+    "where are you from?",
+    "what do you do?",
+    "what's your favorite color?",
+    "what's your favorite food?",
+    "what's your favorite movie?",
+]
+
+
+def transcribe(audio: tuple[int, np.ndarray]):
+    time.sleep(1)
+    transformers_convo = [
+        {"role": "assistant", "content": random.choice(possible_responses)}
+    ]
+    yield AdditionalOutputs(transformers_convo)
+
+
+with gr.Blocks() as demo:
+    gr.HTML(
+        """
+    TEST
+    """
+    )
+    with gr.Row():
+        with gr.Column():
+            audio = WebRTC(
+                label="Stream",
+                mode="send",
+                modality="audio",
+                rtc_configuration={
+                    "iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}],
+                    "iceTransportPolicy": "all",
+                    "iceCandidatePoolSize": 10,
+                    "bundlePolicy": "max-bundle",
+                    "rtcpMuxPolicy": "require",
+                    "sdpSemantics": "unified-plan",
+                },
+                server_rtc_configuration={
+                    "iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]
+                },
+            )
+        with gr.Column():
+            transcript = gr.Chatbot(label="transcript", type="messages")
+
+    audio.stream(
+        ReplyOnPause(transcribe), inputs=[audio], outputs=[audio], time_limit=180
+    )
+    def handle_additional_outputs(outputs):
+        print(f"outputs: {outputs}")
+        return outputs
+            
+    audio.on_additional_outputs(
+            fn=handle_additional_outputs,
+            outputs=[transcript],
+            concurrency_limit=10,
+            queue=False,
+            show_progress="hidden",
+    )
+    demo.launch(server_name="0.0.0.0", server_port=7860, share=True)