Update app.py

app.py

@@ -17,7 +17,7 @@ with open('tokenizer.pickle', 'rb') as f:
 def predict_sentiment(text):
     sentiment = ["I guess, I liked the movie, but I'm not sure it's my favorite."]
     sequence_test = tokenizer.texts_to_sequences([text])
-    padded_test = pad_sequences(sequence_test, maxlen= 52)
+    padded_test = pad_sequences(sequence_test, maxlen= 64)
     text=padded_test
     model = from_pretrained_keras("keras-io/bidirectional-lstm-imdb")
     X = [text for _ in range(len(model.input))]