/gpt-chatbot

GPT Chatbot: A chatbot built with the OpenAI API, Next.js and Tailwind CSS

Primary LanguageJavaScriptMIT LicenseMIT

GPT Chatbot: A chatbot built with the OpenAI API, Next.js and Tailwind CSS

This is the source code for the GPT Chatbot web app built with OpenAI's ChatGPT API, Next.js and Tailwind CSS covered in Fullstack GPT (https://www.fullstack-gpt.com/).

The terminal commands below are for Mac and other Linux-based systems. Your mileage may vary if you are using Windows or another operating system.

This project uses the MIT License. See LICENSE.md for more information.

Live demo

You can try the version hosted on Vercel (the awesome cloud computing company founded by the creators of Next.js) here:

https://basic-gpt-chatbot.vercel.app/

Pre-requisites

This project requires Node.js 16.8.0 or higher.

For information on how to download, install and update Node.js, see their official website: https://nodejs.org/.

You can run the terminal commands node -v and npm -v to check what versions you have installed of Node.js and the associated package manager NPM.

How to launch the web app locally

  1. Change the present working directory to the gpt-chatbot folder. If you're using Visual Studio Code (https://code.visualstudio.com/), then create a new window and open the folder. Alternatively, you can use the cd terminal command to do this. You can run the command pwd to check you have done this correctly.

  2. Install the dependencies for the web app:

npm install
  1. Create a copy of the sample environment variables files, .env.sample, either manually or by running the following command:
cp .env.sample .env.local
  1. Add your OpenAI API key to the environment variables file .env.local and save the changes:
OPENAI_API_KEY=my-openai-api-key-1
  1. Run the local development server:
npm run dev
  1. Open your browser of choice and head to http://localhost:3000 to see the web app live locally.

  2. Make desired changes to the web app. Next.js will automatically update the web app when you save changes to the source code.

Acknowledgements and thanks