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:

   git clone https://git.rudefox.io/bj/anki-json2ankicards.git
   cd json2ankicards
   

2. Set up a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate
   

3. Install the required packages:

   pip install -r requirements.txt
   

4. Set up the OpenAI API key:

   export OPENAI_API_KEY=your_openai_api_key
   

5. Run the server:

   python server.py
   

Usage

1. Start the server as mentioned above.

2. Use a tool like Postman 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