Created
July 31, 2020 05:11
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| def generate_bar(seed_phrase, model, length_of_bar): | |
| for i in range(length_of_bar): | |
| seed_tokens = pad_sequences(tokenizer.texts_to_sequences([seed_phrase]), maxlen=29) | |
| output_p = model.predict(seed_tokens) | |
| output_word = np.argmax(output_p, axis=1)[0]-1 | |
| seed_phrase += " " + str(list(tokenizer.word_index.items())[output_word][0]) | |
| return seed_phrase |
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