Summary

In this chapter of the book, you were introduced to the process of building a ChatGPT clone, which is a chatbot that utilizes OpenAI’s language model to generate human-like responses to user input. The application was built using Flask, a lightweight web framework for Python, and was customizable to allow for the use of different OpenAI models and other options such as the length of the generated text.

We also covered topics such as creating and generating the frontend HTML for the ChatGPT clone, intercepting ChatGPT API endpoints, passing user input from the frontend to the backend using AJAX, and displaying the generated text in the frontend.

We learned how to retain conversation history to enable our ChatGPT clone to become more contextually aware, providing more coherent and relevant responses based on previous interactions.

In Chapter 3, you will learn how to create and deploy an AI-powered code bug-fixing SaaS application using Flask and the ChatGPT language...