Update model.py

model.py

@@ -86,7 +86,7 @@ val_spectrogram_ds = val_spectrogram_ds.cache().prefetch(tf.data.AUTOTUNE)
 test_spectrogram_ds = test_spectrogram_ds.cache().prefetch(tf.data.AUTOTUNE)
 
 
-#use a simple convolutional neural network (CNN), since you have transformed the audio files into spectrogram images
+#use a simple convolutional neural network (CNN), since the audio files are transformed into spectrogram images
 #tf.keras.layers.Resizing: to downsample the input to enable the model to train faster.
 #tf.keras.layers.Normalization: to normalize each pixel in the image based on its mean and standard deviation
 input_shape = example_spectrograms.shape[1:]