Simple_RNN_Model_sample.py

def sample(self) -> str:
    # sample a new sentence from the learned model
    sentence = ''
    a = np.zeros((1, self.a_size))
    x = np.zeros((1, self.vocab_size))
    while True:
        a, y_hat = self(a, x)
        word = sample_word(self.vocab, tf.reshape(y_hat, (-1,)))
        if word == EOS:
            break
        sentence += ' '+word
        x = words2onehot(self.vocab, [word])
    return sentence[1:]