Here is a sample code for a basic English chatbot model. ``` import random # define a list of possible responses responses = [ "Hello!", "How can I help you today?", "What would you like to chat about?", "I'm here to assist you.", "Feel free to ask me anything.", ] def chatbot_response(user_input): # generate a random response from the list response = random.choice(responses) return response # main function def main(): print("Welcome to the chatbot!") while True: user_input = input("User: ") if user_input.lower() == "quit": print("Chatbot: Goodbye!") break else: response = chatbot_response(user_input) print("Chatbot: " + response) if __name__ == "__main__": main() ``` This code defines a simple chatbot model that generates random responses from a list of possible responses. It first asks for user input and checks if the input is "quit". If not, it calls the `chatbot_response` function to generate a response and then prints it out. The program continues to prompt the user for input until the user enters "quit". Note that this is a very basic model and only provides simple responses. It can be further improved by using natural language processing techniques, machine learning algorithms, and incorporating more advanced conversational capabilities. Please note that this code is a simplified example and may not be suitable for complex chatbot applications. It is recommended to use a more advanced framework or library for developing a production-level chatbot.