Update app.py

app.py

@@ -3,21 +3,18 @@ import gradio as gr
 def transcribe_speech(audio_file):
     if audio_file is None:
         return "No audio found, please retry."
-    output = asr(audio_file.name)  # Assuming `asr` is your speech recognition function
+    # Assuming `asr` is a function that processes the audio file at 'audio_file.name' and returns a dictionary with 'text'
+    output = asr(audio_file.name)
     return output["text"]
 
 with gr.Blocks() as demo:
     with gr.Row():
-        with gr.Column():
-            mic = gr.Audio(label="Record from Microphone", type="microphone")
-            mic_button = gr.Button("Transcribe from Microphone")
-        with gr.Column():
-            upload = gr.Audio(label="Upload Audio File", type="file")
-            upload_button = gr.Button("Transcribe Uploaded File")
+        mic = gr.Audio(label="Record from Microphone or Upload File", type="filepath")
+        transcribe_button = gr.Button("Transcribe Audio")
 
     transcription = gr.Textbox(label="Transcription", lines=3, placeholder="Transcription will appear here...")
 
-    mic_button.click(transcribe_speech, inputs=mic, outputs=transcription)
-    upload_button.click(transcribe_speech, inputs=upload, outputs=transcription)
+    transcribe_button.click(transcribe_speech, inputs=mic, outputs=transcription)
 
 demo.launch(share=True)
+