code: def train(self, conversation):
          
          previous_statement_text = None
          previous_statement_search_text = ''
  
          statements_to_create = []
  
          for conversation_count, text in enumerate(conversation):
              if self.show_training_progress:
                  utils.print_progress_bar(
                      'List Trainer',
                      conversation_count + 1, len(conversation)
                  )
  
              statement_search_text = self.chatbot.storage.tagger.get_bigram_pair_string(text)
  
              statement = self.get_preprocessed_statement(
                  Statement(
                      text=text,
                      search_text=statement_search_text,
                      in_response_to=previous_statement_text,
                      search_in_response_to=previous_statement_search_text,
                      conversation='training'
                  )
              )
  
              previous_statement_text = statement.text
              previous_statement_search_text = statement_search_text
  
              statements_to_create.append(statement)
  
          self.chatbot.storage.create_many(statements_to_create)
docs: Train the chat bot based on the provided list of
          statements that represents a single conversation.