/conetracks

Primary LanguageJavaScript

Aus Stoner App

The Aus Stoner App is a native web application designed to mimic the look and feel of an iOS app using Tailwind CSS. It leverages the power of the GPT-4-turbo API to estimate the weight/size of a packed cone for a bong based on a photo. This innovative app is built with Next.js and is perfect for enthusiasts looking to track their usage in a fun and interactive way.

Features

  • iOS-like Interface: Enjoy an interface that feels familiar to iOS users, thanks to Tailwind CSS.
  • Photo Analysis: Take a photo of your packed cone, and the app will estimate its weight/size.
  • Tracking: Keep track of your usage over time with the help of GPT-4-turbo API.
  • Responsive Design: Use the app on any device, with a design that adapts to any screen size.

Getting Started

To get started with the Aus Stoner App, follow these steps:

  1. Clone the repository to your local machine.
  2. Install the dependencies by running npm install.
  3. Create a .env.local file in the root directory and add your GPT-4-turbo API key as follows:
    GPT_API_KEY=your_gpt_4_turbo_api_key_here
    NEXT_PUBLIC_APP_ENV=development
    
  4. Start the development server by running npm run dev.
  5. Open http://localhost:3000 in your browser to see the app in action.

Technologies Used

  • Next.js: A React framework for building web applications.
  • Tailwind CSS: A utility-first CSS framework for creating custom designs.
  • GPT-4-turbo API: An API for interacting with OpenAI's powerful GPT-4 model.
  • React: A JavaScript library for building user interfaces.

Contributing

Contributions are welcome! If you have an idea for improving the app or have found a bug, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.