Update app.py

app.py

@@ -6,29 +6,20 @@ import soundfile as sf
 import requests
 
 def download_file(url):
-    # Estrai l'ID del file dal link di Google Drive
     file_id = url.split('/')[-2]
-
-    # Crea il link di download diretto
     download_url = f'https://docs.google.com/uc?export=download&id={file_id}'
-
-    # Scarica il file
     response = requests.get(download_url, allow_redirects=True)
     local_filename = url.split('/')[-1] + '.wav'
     open(local_filename, 'wb').write(response.content)
-
     return local_filename
 
 def main():
-    # Gradio Interface
     with gr.Blocks() as app:
         gr.Markdown(
             """
-            # <div align="center"> Ilaria Audio Analyzer 💖 </div>
-            Audio Analyzer Software by Ilaria, Help me on [Ko-Fi!](https://ko-fi.com/ilariaowo)\n
+            Audio Analyzer Software by Ilaria, Help me on Ko-Fi!\n
             Special thanks to Alex Murkoff for helping me coding it!
-    
-            Need help with AI? Join [Join AI Hub!](https://discord.gg/aihub)
+            Need help with AI? Join Join AI Hub!
             """
         )
     
@@ -54,40 +45,21 @@ def main():
         app.queue(max_size=1022).launch(share=True)
 
 def create_spectrogram_and_get_info(audio_file):
-    # Clear figure in case it has data in it
     plt.clf()
-    
-    # Read the audio data from the file
+    plt.figure(figsize=(15, 5))
     audio_data, sample_rate = sf.read(audio_file)
-
-    # Convert to mono if it's not mono
     if len(audio_data.shape) > 1:
         audio_data = np.mean(audio_data, axis=1)
-
-    # Create the spectrogram
     plt.specgram(audio_data, Fs=sample_rate / 1, NFFT=4096, sides='onesided',
                  cmap="inferno", scale_by_freq=True, scale='dB', mode='magnitude', window=np.hanning(4096))
-
-    # Save the spectrogram to a PNG file
     plt.savefig('spectrogram.png')
-
-    # Get the audio file info
     audio_info = sf.info(audio_file)
-    
     bit_depth = {'PCM_16': 16, 'FLOAT': 32}.get(audio_info.subtype, 0)
-    
-    # Convert duration to minutes, seconds, and milliseconds
     minutes, seconds = divmod(audio_info.duration, 60)
     seconds, milliseconds = divmod(seconds, 1)
-    milliseconds *= 1000  # convert from seconds to milliseconds
-    
-    # Convert bitrate to mb/s
+    milliseconds *= 1000
     bitrate = audio_info.samplerate * audio_info.channels * bit_depth / 8 / 1024 / 1024
-    
-    # Calculate speed in kbps
     speed_in_kbps = audio_info.samplerate * bit_depth / 1000
-    
-    # Create a table with the audio file info
     filename_without_extension, _ = os.path.splitext(os.path.basename(audio_file))
     info_table = f"""