updated get_wave_label()

app.py

@@ -15,7 +15,8 @@ from tensorflow.keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPool2D,
 def get_waveform_label(file):
     #lab = tf.strings.split(file, os.path.sep)[-2]
     print(file)
-    audio_binary = tf.io.read_file(file)
+    print(file.name)
+    audio_binary = tf.io.read_file(file.name)
     audio, _ = tf.audio.decode_wav(audio_binary)
     waveform=tf.squeeze(audio, axis=-1)
     return waveform