Create a Streamlit app that uses a ChatGPT model

Here is an example of how you might create a Streamlit app that uses a ChatGPT model to generate responses to user input:

First, you will need to install the openai and streamlit libraries using the following commands:

pip install openai
pip install streamlit

Next, you can use the following code to load the ChatGPT model and define a function that generates a response based on the input text and the specified context:

import openai

# Load the ChatGPT model
model = openai.Model.load("my_model")

def generate_response(input_text, context):
  # Generate a response using the ChatGPT model
  response = model.prompt(input_text, context)

  return response

Now you can use Streamlit to create the UI for the app. You can use the st.text_input function to create a text input field for the user to enter their message, and the st.button function to create a button for sending the message:

import streamlit as st

# Create the input field and button
input_text = st.text_input("Enter your message:")
send_button = st.button("Send")

Next, you can use the st.write function to display the response from the ChatGPT model:

# Display the response
if send_button:
  response = generate_response(input_text, "I'm a chatbot.")
  st.write(response)

This code will generate a response using the ChatGPT model and display it in the app when the user clicks the Send button.

Finally, you can run the Streamlit app using the following command:

streamlit run app.py

This will start the Streamlit server and open the app in a web browser. You can then enter a message and click the Send button to see the response from the ChatGPT model.

Keep in mind that this is just a simple example, and there are many other options and settings that you can use to customize the behavior of the app. You can find more information about these options in the Streamlit documentation.