Update app.py

app.py

@@ -8,7 +8,7 @@ def audio_preproccessing():
 	os.rename("Audio_DeepFilterNet3.wav", "Audio.wav")
 	print("Audio Preprocessing Done!")
     
-def transcribe_audio(audio_file_path, input_language,denoising):
+def transcribe_audio(audio_file_path, input_language,denoising,music):
     # Auto-detect format from file extension
     file_ext = os.path.splitext(audio_file_path)[1][1:]  # e.g. "mp3", "wav"
     
@@ -19,6 +19,9 @@ def transcribe_audio(audio_file_path, input_language,denoising):
     audio.export("Audio.wav", format="wav")
     file_path2 = "Audio.wav"
 
+    #if music=='Yes':
+        
+        
     if denoising=='Yes':
         audio_preproccessing()
     
@@ -41,11 +44,12 @@ def transcribe_audio(audio_file_path, input_language,denoising):
 iface = gr.Interface(
     fn=transcribe_audio,
     inputs=[
-        gr.Audio(sources=["microphone", "upload"], type="filepath", label="Audio Input"),
+        gr.Audio(sources=["upload","microphone"], type="filepath", label="Audio Input"),
         #gr.Textbox(label="Language code (e.g., en-US, fa-IR)")
         gr.Dropdown(choices=["fa-IR", "en-US", "ar-SA"], label="Choose the right language:"),
         #gr.Checkbox(label="Apply Denoising?")
-        gr.Dropdown(choices=["Yes", "No"], label="Need Denoising?")
+        gr.Dropdown(choices=["No","Yes"], label="Need Denoising?"),
+        #gr.Dropdown(choices=["No","Yes"], label="Does the input audio have music?")
     ],
     #outputs="text",
     outputs=gr.Textbox(label="Transcription results", lines=10),