code: import logging
  import ConsoleInterface
  
  import langchain.schema
  from langchain.agents import initialize_agent, AgentType #create_pandas_dataframe_agent
  
  
  
  
  logger = logging.getLogger('ConsoleInterface')
  
  '''
  def PandasDataframeAgent(llm, Dataframe):
      """
      Create a PandasDataframeAgent object.
  
      Parameters:
      llm (str): The llm parameter.
      Dataframe (pandas.DataFrame): The DataFrame parameter.
  
      Returns:
      PandasDataframeAgent: The created PandasDataframeAgent object.
      """
      PandasDataframeAgent = create_pandas_dataframe_agent(llm, df=Dataframe, verbose=True)
  
      return PandasDataframeAgent
  '''    
  def RunConversationalAgent(llm, Tools, Memory):
      """
      Run the conversational agent.
  
      Args:
          llm: The language model used by the agent.
          Tools: The tools available to the agent.
          Memory: The memory used by the agent.
  
      Returns:
          None
      """
  
      initialize_agent
      Agent = initialize_agent(agent=AgentType.CONVERSATIONAL_REACT_DESCRIPTION, llm=llm, tools=Tools, memory=Memory, verbose=True)
      logger.info("Agent initialized successfully!\n")
  
      while True:
          query = input("Enter your query: ")
          if query.lower() == "exit" or query.lower() == "quit":
              break
          try:
              Agent.run(str(query))
          except langchain.schema.OutputParserException as e:
                  # Extract the message from the exception
                  message = str(e)
                  # The message is in the form "Could not parse LLM output: `...`"
                  # So, we can split it by the backticks and take the second element
                  answer = message.split('`')[1]
  
                  logger.warning("\nError occured in retrieving answer from language model. Please check your query and try again. Answer stored in error message will be printed:\n")
                  logger.warning("\nAnswer: ", answer)
apis: langchain.agents.initialize_agent
extract_api: [((165, 202), 'logging.getLogger', 'logging.getLogger', (['"""ConsoleInterface"""'], {}), "('ConsoleInterface')\n", (182, 202), False, 'import logging\n'), ((946, 1067), 'langchain.agents.initialize_agent', 'initialize_agent', ([], {'agent': 'AgentType.CONVERSATIONAL_REACT_DESCRIPTION', 'llm': 'llm', 'tools': 'Tools', 'memory': 'Memory', 'verbose': '(True)'}), '(agent=AgentType.CONVERSATIONAL_REACT_DESCRIPTION, llm=llm,\n    tools=Tools, memory=Memory, verbose=True)\n', (962, 1067), False, 'from langchain.agents import initialize_agent, AgentType\n')]