title	emoji	app_file	requirements	python	sdk	sdk_version
AnkiGen	📚	app.py	requirements.txt	3.12	gradio	5.13.1

AnkiGen - Anki Card Generator

AnkiGen is a Gradio-based web application that generates Anki-compatible CSV files using Large Language Models (LLMs) based on user-specified subjects and preferences.

Features

• Generate Anki cards for various subjects
• Customizable number of topics and cards per topic
• User-friendly interface powered by Gradio
• Exports to CSV for manual import or .apkg format with out of the box css styling
• Utilizes OpenAI's structured output to mimic chain of thought to minimize hallucinations

TODO

• cloze cards? (checkbox?)
• File upload / parsing longer texts / books as input?

Screenshot

Installation for Local Use

Preferred usage: uv

1. Clone this repository:

git clone https://github.com/brickfrog/ankigen.git
cd ankigen
uv venv

2. Install the required dependencies:

uv pip install -r requirements.txt

3. Set up your OpenAI API key (required for LLM functionality).

Usage

1. Run the application:

uv run gradio app.py --demo-name ankigen

2. Open your web browser and navigate to the provided local URL (typically http://127.0.0.1:7860).

3. In the application interface:

• Enter your OpenAI API key
• Specify the subject you want to create cards for
• Adjust the number of topics and cards per topic
• (Optional) Add any preference prompts
• Click "Generate Cards"

4. Review the generated cards in the interface.

5. Click "Export to CSV" to download the Anki-compatible file or Export to Anki Deck to export as a .apkg that can be imported into Anki.

Development

This project is built with:

• Python 3.12
• Gradio 5.13.1

To contribute or modify:

1. Make your changes in app.py
2. Update requirements.txt if you add new dependencies
3. Test thoroughly before submitting pull requests

License

BSD 2.0

Acknowledgments

• This project uses the Gradio library (https://gradio.app/) for the web interface
• Card generation is powered by OpenAI's language models