Update app.py

app.py

@@ -10,21 +10,20 @@ pipe = pipeline(
 
 # Define the transcription function for audio input
 def transcribe_audio(audio):
-    # Transcribe the uploaded or recorded audio
+    
     prediction = pipe(audio, batch_size=8, return_timestamps=True)["chunks"]
     
-    # Format the output to show text with timestamps
     transcription = "\n".join([f"[{chunk['timestamp'][0]:.2f}s - {chunk['timestamp'][1]:.2f}s] {chunk['text']}" for chunk in prediction])
     
     return transcription
 
 # Create a Gradio interface
 interface = gr.Interface(
-    fn=transcribe_audio,  # The function to be applied to the audio input
-    inputs=gr.Audio(type="filepath"),  # Users can record or upload audio
-    outputs="text",  # The output is the transcription (text with timestamps)
-    title="Whisper Small ASR",  # Title of your app
-    description="Upload or record audio for transcription using Whisper Small."  # Description of your app
+    fn=transcribe_audio,  
+    inputs=gr.Audio(type="filepath"), 
+    outputs="text",  
+    title="Whisper Small ASR",  
+    description="Upload or record audio for transcription using Whisper Small."  
 )
 
 # Launch the Gradio app