q4

import openai

def chatbot(api_key, model="text-davinci-003", max_tokens=150, temperature=0.5):
    """
    Simulate a simple chatbot interaction using LangChain (GPT-3 model).

    Parameters:
    - api_key (str): Your OpenAI API key.
    - model (str): The GPT-3 model to use. Defaults to 'text-davinci-003'.
    - max_tokens (int): Maximum number of tokens (words) in the generated response. Defaults to 150.
    - temperature (float): Controls randomness in text generation. Higher values make the output more diverse. Defaults to 0.5.
    """
    # Set the OpenAI API key
    openai.api_key = api_key
    
    print("Welcome! Ask me anything or type 'exit' to end the conversation.")
    
    while True:
        # Get user input
        user_input = input("You: ")
        
        # Check for termination command
        if user_input.lower() == 'exit':
            print("Chatbot: Goodbye!")
            break
        
        # Generate response using LangChain
        response = openai.Completion.create(
            engine=model,
            prompt=user_input,
            max_tokens=max_tokens,
            temperature=temperature
        )
        
        # Extract and print the generated response
        chatbot_response = response['choices'][0]['text'].strip()
        print("Chatbot:", chatbot_response)

# Example usage:
def main():
    # Replace 'your_openai_api_key_here' with your actual API key
    api_key = 'your_openai_api_key_here'
    
    # Start the chatbot
    chatbot(api_key)

if __name__ == "__main__":
    main()