Update app.py

app.py

@@ -70,11 +70,17 @@ def detect_emotion(text):
 # Function to visualize audio waveform
 def plot_waveform(audio_file):
     with wave.open(audio_file, 'r') as w:
+        # Extract the signal data and sampling rate
         signal = np.frombuffer(w.readframes(w.getnframes()), dtype=np.int16)
         framerate = w.getframerate()
+        
+        # Calculate the correct duration of the audio file
         duration = len(signal) / framerate
+        
+        # Create time axis for the waveform
         time = np.linspace(0., duration, len(signal))
         
+        # Plot the waveform
         plt.figure(figsize=(10, 4))
         plt.plot(time, signal)
         plt.title("Audio Waveform")