text: import random
  import markovify
  import tweepy
  from credentials import *
  
  import argparse
  
  parser = argparse.ArgumentParser(description='YogiMark')
  parser.add_argument("-t", "--notweet", help="disable tweeting", action="store_true")
  args = parser.parse_args()
  
  # create model from corpus
  with open("corpus.txt") as f:
      text = f.read()
  text_model = markovify.Text(text, state_size=2)
  model_json = text_model.to_json()
  with open("model.json", 'w') as f:
    f.write(model_json)
    
  phrase = text_model.make_short_sentence(140, tries=1000)  
  
  if args.notweet:
    print("tweeting disabled")
    print(phrase)
  else:  
    auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
    auth.set_access_token(access_token, access_token_secret)
    api = tweepy.API(auth)
    api.update_status(phrase)
  
  