text: import src.Utils as utils
  
  """
  Loads a trained & stored LDA Model 
  explore documents based on topic information 
  """
  
  model_path="..\\..\\models\\saved_lda_model.pkl"
  lda_model, tfidf,tfidf_vectorizer,data_content=utils.load_topic_model(model_path)
  
  
  utils.top_documents_per_topic(lda_model, tfidf, data_content, num_topics=5, number_of_documents=50, topic_number=3)