Updated app.py

app.py

@@ -4,9 +4,30 @@ from transformers import pipeline
 model = "openai/whisper-small"
 pipe = pipeline("automatic-speech-recognition", model=model)
 
-def transcribe(audio):
-    transcription = pipe(audio)["text"]
-    return transcription
+def transcribe_speech(filepath):
+    output = pipe(
+        filepath,
+        max_new_tokens=256,
+        generate_kwargs={
+            "task": "transcribe",
+        },
+        chunk_length_s=30,
+        batch_size=8,
+    )
+    return output["text"]
 
-demo = gr.Interface(fn=transcribe, inputs=gr.inputs.Audio(source="microphone", type="filepath"), outputs="text")
-demo.launch()
+demo = gr.Blocks()
+
+mic_transcribe = gr.Interface(
+    fn=transcribe_speech,
+    inputs=gr.Audio(sources="microphone", type="filepath"),
+    outputs=gr.outputs.Textbox(),
+)
+
+with demo:
+    gr.TabbedInterface(
+        [mic_transcribe],
+        ["Transcribe Microphone"],
+    )
+
+demo.launch(debug=True)