old_contents: from language_processing import *
  from wordcloud import *
  import matplotlib.pyplot as plt
  
  def create_wordcloud(normalized_all_counts):
  
      word_cloud_list = [(key + ' ') * int(round(normalized_all_counts[key],4)*10000) for key in normalized_all_counts.keys()]
      word_cloud_text = '-'.join(word_cloud_list)
      word_cloud = WordCloud().generate(word_cloud_text)
      plt.imshow(word_cloud)
      plt.axis("off")
      plt.show()
      return
  
  
  #test implementation
  """
  toquery=get_pmids("rs12255372")
  
  abstracts = get_abstracts(toquery)
  
  t = tokenize_abstracts(abstracts)
  q = tagged_abstracts(t)
  n = extract_nouns(q)
  create_wordcloud(n)
  """
  
new_contents: from lanpros import *
  from wordcloud import *
  import matplotlib.pyplot as plt
  
  def create_wordcloud(normalized_all_counts):
  
      word_cloud_list = [(key + ' ') * int(round(normalized_all_counts[key],4)*10000) for key in normalized_all_counts.keys()]
      word_cloud_text = '-'.join(word_cloud_list)
      word_cloud = WordCloud().generate(word_cloud_text)
      plt.imshow(word_cloud)
      plt.axis("off")
      plt.show()
      return
  
  
  #test implementation
  """
  toquery=get_pmids("rs12255372")
  
  abstracts = get_abstracts(toquery)
  
  t = tokenize_abstracts(abstracts)
  q = tagged_abstracts(t)
  n = extract_nouns(q)
  create_wordcloud(n)
  """
  
subject: change the name of the imported module