input: 
  import dialogflow_v2 as dialogflow
  import requests
  
  project_id = 'project-id'
  session_client = dialogflow.SessionsClient()
  session = session_client.session_path(project_id, 'session-id')
  
  def run_assistant():
      """
      This function creates a virtual assistant using Python and Dialogflow to answer a basic set of questions.
      The assistant continuously prompts the user for input and responds based on the Dialogflow agent's responses.
      
      Example:
      >>> run_assistant()
      User: What is the weather today?
      Assistant: The weather today is sunny with a high of 75 degrees Fahrenheit.
      """
      while True:
          text = input('User: ')
          text_input = dialogflow.types.TextInput(text=text, language_code='en-US')
          query_input = dialogflow.types.QueryInput(text=text_input)
          response = session_client.detect_intent(session=session, query_input=query_input)
  
          print('Assistant:', response.query_result.fulfillment_text)
  
output:     if response.query_result.intent.display_name == 'weather':
          city = response.query_result.parameters.fields['geo-city'].string_value
          weather_response = requests.get(f'http://api.openweathermap.org/data/2.5/weather?q={city}&appid=your_api_key&units=imperial')
          weather_data = weather_response.json()
          temperature = weather_data['main']['temp']
          description = weather_data['weather'][0]['description']
          print(f'Assistant: The weather in {city} is {description} with a temperature of {temperature} degrees Fahrenheit.')
      elif response.query_result.intent.display_name == 'exit':
          print('Assistant: Goodbye!')
          break