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app.py

@@ -4,7 +4,7 @@ import tensorflow as tf
 import numpy as np
 
 model = tf.keras.models.load_model('model.h5')
-labels = ['flower_photos'] # Update this after training
+labels = ['Class_A', 'Class_B'] # Update this after training
 
 def predict(image):
     image = tf.image.resize(image, (224, 224))