def generate_bot_answer(twitter_handle, user_question):
tweets = (scrape(twitter_handle) if config.TWITTER_FETCHER == "scraper"
else fetch(twitter_handle))
text_model = markovify.Text(clean_tweets_data(tweets))
return generate_bot_answer_with_text_model(twitter_handle, user_question,
text_model)
def generate_bot_answer(twitter_handle, user_question):
tweets = fetch(twitter_handle)
clean_tweets = clean_tweets_data(tweets)
text = "".join(map(str, clean_tweets))
text_model = markovify.Text(text)
bot_answer = generate_bot_answer_with_text_model(twitter_handle,
user_question, text_model)
return bot_answer
def generate_bot_answer(twitter_handle, user_question):
#tweets = get_user_tweets(twitter_handle) get_user-tweets to scrape to fetch
tweets = fetch(twitter_handle)
clean_tweets = clean_tweets_data(tweets)
text = ''.join(map(str, clean_tweets)) #concat
text_model = markovify.Text(text) #from library - build the model
# bot_answer = None
#bot_answer = generate_bot_answer_with_text_model(twitter_handle, user_question, text_model)
word_list = user_question.split(' ')
random_word = random.choice(word_list)
#bot_answer = text_model.make_sentence_with_start(random_word, strict=False)
text_model.make_sentence_with_start(random_word, strict=False)
bot_answer = generate_bot_answer_with_text_model(twitter_handle,
user_question, text_model)
print("Print me if this function runs", bot_answer)
return bot_answer