bot_wat_tweet_gen

def generate_tweets(model, corpus, char_to_idx, idx_to_char, n_tweets=10): 
#     model.load_weights('weights.hdf5')
    tweets = []
    spaces_in_corpus = np.array([idx for idx in range(CORPUS_LENGTH) if text[idx] == ' '])
    for i in range(1, n_tweets + 1):
        begin = np.random.choice(spaces_in_corpus)
        tweet = u''
        sequence = text[begin:begin + MAX_SEQ_LENGTH]
        tweet += sequence
        for _ in range(100):
            x = np.zeros((1, MAX_SEQ_LENGTH, N_CHARS))
            for t, char in enumerate(sequence):
                x[0, t, char_to_index[char]] = 1.0

            preds = model.predict(x, verbose=0)[0]
            next_idx = sample(preds)
            next_char = index_to_char[next_idx]

            tweet += next_char
            sequence = sequence[1:] + next_char
        tweets.append(tweet)
    return tweets