Update app.py

app.py

@@ -45,22 +45,25 @@ def main():
         
         app.queue(max_size=1022).launch(share=True)
 
+from matplotlib.colors import LinearSegmentedColormap
+
 def create_spectrogram_and_get_info(audio_file):
     plt.clf()
     
-    cdict = {'red':   [(0.0,  0.5, 0.5),
+    cdict = {'red':   [(0.0,  0.0, 0.0),
                        (0.5,  1.0, 1.0),
                        (1.0,  1.0, 1.0)],
              'green': [(0.0,  0.0, 0.0),
                        (0.25, 0.0, 0.0),
                        (0.75, 1.0, 1.0),
                        (1.0,  1.0, 1.0)],
-             'blue':  [(0.0,  0.5, 0.5),
+             'blue':  [(0.0,  0.0, 0.0),
                        (0.5,  0.0, 0.0),
                        (1.0,  0.0, 0.0)]}
     custom_cmap = LinearSegmentedColormap('CustomMap', cdict)
     
-    plt.figure(figsize=(15, 5))
+    fig = plt.figure(figsize=(15, 5))
+    fig.patch.set_facecolor('black')  # Imposta il colore di sfondo su nero
     audio_data, sample_rate = sf.read(audio_file)
     if len(audio_data.shape) > 1:
         audio_data = np.mean(audio_data, axis=1)
@@ -76,6 +79,7 @@ def create_spectrogram_and_get_info(audio_file):
     speed_in_kbps = audio_info.samplerate * bit_depth / 1000
     filename_without_extension, _ = os.path.splitext(os.path.basename(audio_file))
     info_table = f"""
+
     
     | Information | Value |
     | :---: | :---: |