# AnkiAI

AnkiAI is a robust system that converts images containing text into structured Anki cards using Optical Character Recognition (OCR) and OpenAI's GPT-4 language model. Users can quickly generate decks of flashcards from their images for effective study.

## Features
- Converts image content to textual content using OCR.
- Uses OpenAI's GPT-4 model to structure the content into Anki decks and cards.
- Outputs the structured content as an Anki package.

## Dependencies
- genanki: Used for creating Anki decks and cards.
- Pillow: Image processing library.
- openai: API library for OpenAI's GPT-4 model.
- flask: Web server to host the service.

## Setup and Installation

1. Clone this repository:
   ```bash
   git clone https://git.rudefox.io/bj/anki-json2ankicards.git
   cd json2ankicards
   ```

2. Set up a virtual environment and activate it:
   ```bash
   python3 -m venv venv
   source venv/bin/activate
   ```

3. Install the required packages:
   ```bash
   pip install -r requirements.txt
   ```

4. Set up the OpenAI API key:
    ```bash
    export OPENAI_API_KEY=your_openai_api_key
    ```

5. Run the server:
    ```bash
    python server.py
    ```

## Usage

1. Start the server as mentioned above.

2. Use a tool like [Postman](https://www.postman.com/) or `curl` to send images to `http://localhost:5000/deck-from-images` as a multi-part POST request.

3. The server will respond with a downloadable Anki package. Import this into your Anki app and start studying!

## Modules

1. **ankiai.py**: The main module that orchestrates the flow.
2. **images2text.py**: Converts image content into text using OCR.
3. **json2deck.py**: Converts structured JSON data into an Anki package.
4. **prompt4cards.py**: Uses OpenAI to structure the content into Anki decks and cards.
5. **server.py**: Flask server to host the service.

## Contributing

Contributions are welcome! Please submit a pull request or open an issue to discuss changes or fixes.

## License

[MIT License](LICENSE)