Build a Chat GPT with React, Twin, and Open AI API

Table of Contents

1. Introduction
2. Building a Chat GPT using React and Twin
3. Connecting to the Open AI API
4. Setting up the Web Application
5. Creating the User Interface
6. Handling Input and Output
7. Making Requests to the Open AI API
8. Rendering the Chat Bubbles
9. Implementing Dark Mode
10. Conclusion

Introduction

In this article, we will learn how to build a chat GPT (Generative Pre-trained Transformer) using React and Twin. We will also connect this chat GPT to the Open AI API to Interact with their language models. This tutorial is for developers who want to Create a chatbot-like application that can generate text Based on user input.

Building a Chat GPT using React and Twin

To begin, let's start by creating a new project in React and setting up the Twin styling library. React allows us to build dynamic user interfaces, while Twin provides a powerful utility-first CSS framework. This combination will help us create a responsive and visually appealing chat interface.

Connecting to the Open AI API

Next, we will connect our chat GPT to the Open AI API. This will enable us to interact with their language models and generate text based on user input. We will need to obtain a Secret Key from the Open AI Website and use it to authenticate our requests. Once connected, we can send messages to the API and receive responses from the language model.

Setting up the Web Application

Now, let's set up the web application by configuring our project and installing the necessary dependencies. We will use NPM to manage our project dependencies, and we will create a configuration file to store our Secret Key. Additionally, we will configure the index CSS file and make some adjustments to the styling.

Creating the User Interface

In this step, we will create the user interface for our chat GPT. We will design it to Resemble a chat application like WhatsApp, with chat bubbles for the messages. We will use HTML, CSS, and Twin classes to style the UI components. Additionally, we will implement a dark mode feature to cater to different preferences.

Handling Input and Output

To make our chat GPT functional, we need to handle user input and display the generated responses. We will create state variables to store the input and output messages. When the user submits a message, we will use a submit handler function to send the input to the Open AI API and retrieve the corresponding response. We will update the output state variable with the generated response.

Making Requests to the Open AI API

In this section, we will explore the various methods provided by the Open AI library to interact with their language models. We will focus on the createCompletion method, which allows us to generate text using the specified model. We will pass in the input message, set the maximum number of tokens, and obtain the response from the API.

Rendering the Chat Bubbles

Once we have the response from the Open AI API, we will render it as a chat Bubble in the user interface. We will use conditional rendering to check if the output state variable is empty or not. If it contains a message, we will display it in a chat bubble on the screen. By dynamically rendering the chat bubbles, we can create a seamless conversation experience.

Implementing Dark Mode

To enhance the user experience, we will implement a dark mode feature in our chat GPT. We will add a toggle button that allows the user to switch between light and dark mode. We will update the background and text colors accordingly to create a visually appealing dark mode.

Conclusion

In conclusion, we have successfully built a chat GPT using React and Twin. We have connected it to the Open AI API, allowing us to generate text based on user input. We have also created a user interface with chat bubbles and implemented dark mode for a better user experience. By following this tutorial, developers can create their Own Chat GPT applications and engage users in interactive conversations.

Highlights

• Build a chat GPT using React and Twin
• Connect to the Open AI API for language model interaction
• Set up the web application and configure dependencies
• Design a user interface with chat bubbles
• Handle user input and display generated responses
• Make requests to the Open AI API for text generation
• Render chat bubbles dynamically for a seamless experience
• Implement dark mode for enhanced user experience

FAQ

Q: Can I use different language models with the Open AI API? A: Yes, the Open AI API supports different language models. You can specify the desired model when making requests.

Q: How can I limit the length of the response from the Open AI API? A: The Max tokens parameter allows You to limit the length of the response. You can set it to a specific number to control the size of the generated text.

Q: Is it possible to customize the styling of the chat interface? A: Yes, you can customize the styling of the chat interface using CSS and Twin classes. You can modify the colors, fonts, and layout to match your desired design.

Q: Can I use the chat GPT for other applications or platforms? A: Yes, the chat GPT can be integrated into various applications or platforms. With some modifications, you can adapt it to suit your specific requirements.

Resources:

• React
• Twin
• Open AI API
• CSS