Update app.py

app.py

@@ -97,7 +97,8 @@ num_to_char = layers.StringLookup(
     vocabulary=char_to_num.get_vocabulary(), mask_token=None, invert=True
 )
 
-def decode_batch_predictions(pred):
+def decode_batch_predictions(input_image):
+    pred = loaded_model.predict(input_image)
     input_len = np.ones(pred.shape[0]) * pred.shape[1]
     # Use greedy search. For complex tasks, you can use beam search.
     results = keras.backend.ctc_decode(pred, input_length=input_len, greedy=True)[0][0][