code: def tfidf_corpus(docs=CORPUS):
      
      vectorizer = TfidfVectorizer()
      vectorizer = vectorizer.fit(docs)
      return vectorizer, vectorizer.transform(docs)
docs: Count the words in a corpus and return a TfidfVectorizer() as well as all the TFIDF vecgtors for the corpus
  
      Args:
        docs (iterable of strs): a sequence of documents (strings)
  
      Returns:
        (TfidfVectorizer, tfidf_vectors)