Update app.py

app.py

@@ -1,18 +1,23 @@
-from transformers import pipeline
-
-model_id = "sanchit-gandhi/distilhubert-finetuned-gtzan"
-pipe = pipeline("audio-classification", model=model_id)
+import gradio as gr
 
-def classify_audio(filepath):
-    preds = pipe(filepath)
-    outputs = {}
-    for p in preds:
-        outputs[p["label"]] = p["score"]
-    return outputs
+demo = gr.Blocks()
 
-import gradio as gr
+mic_transcribe = gr.Interface(
+    fn=transcribe_speech,
+    inputs=gr.Audio(sources="microphone", type="filepath"),
+    outputs=gr.outputs.Textbox(),
+)
 
-demo = gr.Interface(
-    fn=classify_audio, inputs=gr.Audio(type="filepath"), outputs=gr.outputs.Label()
+file_transcribe = gr.Interface(
+    fn=transcribe_speech,
+    inputs=gr.Audio(sources="upload", type="filepath"),
+    outputs=gr.outputs.Textbox(),
 )
+
+with demo:
+    gr.TabbedInterface(
+        [mic_transcribe, file_transcribe],
+        ["Transcribe Microphone", "Transcribe Audio File"],
+    )
+
 demo.launch(debug=True)