ChatGPT generated code for a simple AI chatbot

.py

import spacy

# Load a pre-trained NLP model from spaCy
nlp = spacy.load("en_core_web_sm")

# Define a function to handle user input and generate a response
def respond(input):
    # Parse the user input using the NLP model
    doc = nlp(input)

    # Extract the main verb of the user input
    main_verb = None
    for token in doc:
        if token.pos_ == "VERB":
            main_verb = token
            break

    # Generate a response based on the main verb
    if main_verb is None:
        return "I'm sorry, I didn't understand what you said."
    elif main_verb.lemma_ == "be":
        return "What do you think about it?"
    elif main_verb.lemma_ == "eat":
        return "What kind of food do you like?"
    elif main_verb.lemma_ == "go":
        return "Where do you want to go?"
    else:
        return "I'm not sure what you mean by that."

# Define a loop to keep the chatbot running
while True:
    # Get user input
    user_input = input("You: ")

    # Generate a response and print it
    bot_response = respond(user_input)
    print("Bot: " + bot_response)