new_contents: import nltk
  import feedburner
  import random
  from HTMLParser import HTMLParser
  
  class MLStripper(HTMLParser):
      def __init__(self):
          self.reset()
          self.fed = []
      def handle_data(self, d):
          self.fed.append(d)
      def get_data(self):
          return ''.join(self.fed)
  
  def strip_tags(html):
      s = MLStripper()
      s.feed(html)
      return s.get_data()
   
  # download a feed
  feed_url = "http://feeds.feedburner.com/saramwatson"
  feed = feedburner.parse(feed_url)
  
  posts = [strip_tags(x['summary']) for x in feed['entries']]
  sent_detector = nltk.data.load('tokenizers/punkt/english.pickle')
  
  sentences = []
  
  for post in posts:
    for sentence in sent_detector.tokenize(post.strip()):
      if len(sentence) <=140:
        sentences.append(sentence)
  
  print(random.choice(sentences))
  
subject: print a random sentence from smwat