Update app.py

app.py

@@ -42,7 +42,7 @@ with gr.Blocks() as demo:
         model.fit(x_train, y_train, epochs=5)
         test_loss, test_acc = model.evaluate(x_test,  y_test, verbose=2)
 
-        print "Test accuracy: ", test_acc
+        print("Test accuracy: ", test_acc)
 
         # Define any necessary preprocessing steps for the image input here
         probability_model = tf.keras.Sequential([model, tf.keras.layers.Softmax()])