new_contents: import tweepy
  import markovify
  import sys, random, time
  
  ck = ''
  cs = ''
  ak = ''
  ase = ''
  auth = tweepy.OAuthHandler(ck, cs)
  auth.set_access_token(ak, ase)
  api = tweepy.API(auth)
  # print(api.statuses_lookup(100))
  # print(api.me())
  
  with open('https://raw.githubusercontent.com/gastonstat/StarWars/master/Text_files/EpisodeIV_dialogues.txt') as f:
    ep4 = f.read()
  with open('https://raw.githubusercontent.com/gastonstat/StarWars/master/Text_files/EpisodeV_dialogues.txt') as f:
    ep5 = f.read()
  with open('https://raw.githubusercontent.com/gastonstat/StarWars/master/Text_files/EpisodeVI_dialogues.txt') as f:
    ep6 = f.read()
  
  ep4lines = ep4.split('\n')
  ep5lines = ep5.split('\n')
  ep6lines = ep6.split('\n')
  
  mep4 = markovify.Text(ep4)
  mep5 = markovify.Text(ep5)
  mep6 = markovify.Text(ep6)
  model1 = markovify.combine([mep4, mep5], [1, 1])
  model2 = markovify.combine([model1, mep6], [2, 1])
  
  for i in range(3):
    print(model2.make_short_sentence(280))
  
  # api.update_status(model2.make_short_sentence(280))
subject: Add a Twitter bot that creates dialog from Star Wars text using Markov models