Update app.py

app.py

@@ -10,6 +10,8 @@ emotion_labels = {0: 'neutral', 1: 'calm', 2: 'happy', 3: 'sad', 4: 'angry', 5:
 def process_video_audio(video_path, audio_path):
 
     wav = pt.tensor(audio_path[1])
+
+    print(wav)
     
     train_visual = np.zeros([1, 120, 120, 3, 10])
     train_audio_wave = np.zeros([1, 261540])
@@ -23,6 +25,9 @@ def process_video_audio(video_path, audio_path):
         train_audio_wave[0, :] = wav[:261540]
     else:
         train_audio_wave[0, :len(wav)] = wav
+
+    print(train_audio_wave[0])
+    
     train_audio_cnn[0, :, :, 0] = mfcc(train_audio_wave[0])
     
     cap = cv2.VideoCapture(video_path)