Update app.py

app.py

@@ -31,7 +31,7 @@ num_to_char = layers.StringLookup(
 def decode_batch_predictions(pred):
     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=False, beam_width=5)[0][0][
+    results = keras.backend.ctc_decode(pred, input_length=input_len, greedy=True)[0][0][
         :, :max_length
     ]
     # Iterate over the results and get back the text