Update app.py

app.py

@@ -701,17 +701,19 @@ with gr.Blocks() as iface:
     gr.Markdown("Transcribe audio using multiple pipelines and (Faster) Whisper models.")
     
     with gr.Row():
-        audio_upload = gr.Audio(label="Upload or Record Audio", source="upload")
+        audio_upload = gr.Audio(label="Upload Audio")
+        audio_record = gr.Audio(label="Record Audio", source="microphone")
         audio_url = gr.Textbox(label="Or Enter URL of audio file or YouTube link")
-
-    with gr.Row():
-        proxy_url = gr.Textbox(label="Proxy URL", placeholder="Enter proxy URL if needed", value="", lines=1)
-        proxy_username = gr.Textbox(label="Proxy Username", placeholder="Proxy username (optional)", value="", lines=1)
-        proxy_password = gr.Textbox(label="Proxy Password", placeholder="Proxy password (optional)", value="", lines=1, type="password")
     
     transcribe_button = gr.Button("Transcribe")
 
     with gr.Accordion("Advanced Options", open=False):
+        with gr.Row():
+            proxy_url = gr.Textbox(label="Proxy URL", placeholder="Enter proxy URL if needed", value="", lines=1)
+            proxy_username = gr.Textbox(label="Proxy Username", placeholder="Proxy username (optional)", value="", lines=1)
+            proxy_password = gr.Textbox(label="Proxy Password", placeholder="Proxy password (optional)", value="", lines=1, type="password")
+        
+        
         with gr.Row():
             pipeline_type = gr.Dropdown(
                 choices=["faster-batched", "faster-sequenced", "transformers"],
@@ -769,12 +771,15 @@ with gr.Blocks() as iface:
     pipeline_type.change(update_model_dropdown, inputs=[pipeline_type], outputs=[model_id])
     
     def transcribe_with_progress(*args):
-        for result in transcribe_audio(*args):
+        # Combine audio_upload and audio_record into a single input
+        audio_input = args[0] if args[0] is not None else args[1]
+        modified_args = (audio_input,) + args[2:]
+        for result in transcribe_audio(*modified_args):
             yield result
     
     transcribe_button.click(
         transcribe_with_progress,
-        inputs=[audio_upload, audio_url, proxy_url, proxy_username, proxy_password, pipeline_type, model_id, dtype, batch_size, download_method, start_time, end_time, verbose, include_timecodes],
+        inputs=[audio_upload, audio_record, audio_url, proxy_url, proxy_username, proxy_password, pipeline_type, model_id, dtype, batch_size, download_method, start_time, end_time, verbose, include_timecodes],
         outputs=[metrics_output, transcription_output, transcription_file]
     )