In this module, we will focus on the client-side code essential for building the ChatGPT AI application. You will get an overview of key index and starter coding files, clean up and comment the index file for better clarity, and write a form in React using Next.js. We will also introduce React hooks and state management to help you build a more interactive and dynamic chatbot application.

In this module, we will enhance the functionality of the ChatGPT application by adding state and hooks. You will learn how to update the state for handling user inputs, especially for personalized queries like animal-related topics. We will integrate onSubmit functionality to connect the application with the OpenAI API, and use async/await and fetch methods to handle post requests and data responses efficiently.

In this module, we will delve into the OpenAI API setup and its documentation. You will examine practical examples of using the OpenAI API to generate text, answer questions, and create chatbots. Additionally, you will learn how to securely manage your ChatGPT API key and implement environment security protocols to protect your application from potential breaches.

In this module, we will focus on styling the OpenAI application to make it visually appealing and user-friendly. You will learn how to apply CSS styling to the form elements and add result styling to improve the appearance of the output. This will ensure that your ChatGPT application is not only functional but also aesthetically pleasing.

In this module, we will cover advanced topics related to the OpenAI API configuration with ChatGPT. You will learn how to demonstrate a call and response example to optimize and personalize chatbot responses. Additionally, we will teach you how to implement robust error handling and logic completion techniques to ensure your application can handle unexpected inputs and provide accurate responses.