AI, NLP, Deep Learning, Lstm, TensorFlow.
token_list = pad_sequences([token_list], maxlen=max_sequence_len-1, padding='pre') predicted = np.argmax(model.predict(token_list), axis=-1) output_word = "" for word, index in tokenizer.word_index.items(): if index == predicted: output_word = word break seed_text += " " + output_word return