Small project that uses the OpenAI API to obtain a recommendation on whether it is advisable to ask for a new card or stay. This is done by sending the player's current card point count and a list of the cards that are in the deck.
This is a simple example of how to use the OpenAI API to obtain recommendations based on a certaing context and conditions. The game is a simple blackjack game that was obtained from a Udemy course. The game is not the main focus of this project, but it is a good example of how to use the OpenAI API to obtain recommendations for a game.
- Create a copy of the .env.dist file as .env and set your OpenAI API Key there.
- Run the server with Node.js with:
npm start - Open the web browser and go to
http://localhost:3000 - Play and when you need, press the button to request a recommendation from the AI.
- Clone the repository with
git@github.com:nachoaguirre/react-personal-resume-builder.git - Install the dependencies with
npm install - Create a copy of the .env.dist file as .env and set your OpenAI API Key there.
- Run the server with Node.js with:
npm start - Open the web browser and go to
http://localhost:3000
- Node.js
- Express
- OpenAI API
- The game code base was obtained from Fernando Herrera's Udemy course
You can customize the functionalities of the game by modifying the public/assets/js/game.js file. You can change the number of decks, and many other things.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
This work is free. You can redistribute it and/or modify it under the terms of the Do What The Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See http://www.wtfpl.net/ for more details.å