Update app.py

app.py

@@ -26,13 +26,10 @@ def main():
                 image_output = gr.Image(type='filepath', interactive=False)
     
         create_spec_butt.click(fn=create_spectrogram_and_get_info, inputs=[audio_input], outputs=[output_markdown, image_output])
-        audio_input.change(fn=lambda: ({"value": "", "__type__": "update"},
-                                       {"value": "", "__type__": "update"}),
-                           inputs=[], outputs=[image_output, output_markdown])
         
         app.queue(max_size=1022).launch(share=True)
 
-def create_spectrogram_and_get_info(audio_file):
+def create_spectrogram_and_get_info(audio_file, output_markdown):
     # Clear figure in case it has data in it
     plt.clf()
     
@@ -45,7 +42,7 @@ def create_spectrogram_and_get_info(audio_file):
 
     # Create the spectrogram
     plt.specgram(audio_data, Fs=sample_rate / 1, NFFT=4096, sides='onesided',
-                 cmap="Reds_r", scale_by_freq=True, scale='dB', mode='magnitude')
+                 cmap="Reds_r", scale_by_freq=True, scale='dB', mode='magnitude', window=np.hanning(4096))
 
     # Save the spectrogram to a PNG file
     plt.savefig('spectrogram.png')
@@ -82,8 +79,15 @@ def create_spectrogram_and_get_info(audio_file):
     </center>
     """
     
+    # Delete the audio file after analyzing it
+    os.remove(audio_file)
+    
+    # Clear the markdown content
+    output_markdown.update({"value": "", "__type__": "update"})
+    
     # Return the PNG file of the spectrogram and the info table
-    return {"value": info_table, "__type__": "update"}, 'spectrogram.png'
+    return info_table, 'spectrogram.png'
+
 
 # Create the Gradio interface
-main()
+main()