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seed_text = "Laurence went to dublin" next_words = 100 for _ in range(next_words): token_list = tokenizer.texts_to_sequences([seed_text])[0] token_list = pad_sequences([token_list], maxlen=max_sequence_len-1, padding='pre') predicted = model.predict_classes(token_list, verbose=0) output_word...