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--- |
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title: AnkiGen |
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emoji: 📚 |
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app_file: app.py |
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requirements: requirements.txt |
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python: 3.12 |
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sdk: gradio |
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sdk_version: 4.44.0 |
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--- |
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# AnkiGen - Anki Card Generator |
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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. |
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## Features |
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- Generate Anki cards for various subjects |
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- Customizable number of topics and cards per topic |
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- User-friendly interface powered by Gradio |
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- Exports to CSV format compatible with Anki import |
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- Utilizes LLMs for high-quality content generation |
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## TODO |
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- [ ] model dropdown - uses gpt4o-mini by default |
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- [ ] cloze (checkbox?) |
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## Screenshot |
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## Installation for Local Use |
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1. Clone this repository: |
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``` |
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git clone https://github.com/brickfrog/ankigen.git |
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cd ankigen |
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``` |
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2. Install the required dependencies: |
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``` |
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pip install -r requirements.txt |
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``` |
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3. Set up your OpenAI API key (required for LLM functionality). |
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## Usage |
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1. Run the application: |
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``` |
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gradio app.py --demo-name ankigen |
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``` |
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2. Open your web browser and navigate to the provided local URL (typically `http://127.0.0.1:7860`). |
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3. In the application interface: |
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- Enter your OpenAI API key |
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- Specify the subject you want to create cards for |
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- Adjust the number of topics and cards per topic |
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- (Optional) Add any preference prompts |
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- Click "Generate Cards" |
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4. Review the generated cards in the interface. |
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5. Click "Export to CSV" to download the Anki-compatible file. |
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## CSV Format |
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The generated CSV file includes the following fields: |
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- Index |
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- Topic |
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- Question |
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- Answer |
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- Explanation |
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- Example |
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You can create a new note type in Anki with these fields to handle importing. |
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## Development |
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This project is built with: |
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- Python 3.12 |
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- Gradio 4.44.0 |
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To contribute or modify: |
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1. Make your changes in `app.py` |
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2. Update `requirements.txt` if you add new dependencies |
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3. Test thoroughly before submitting pull requests |
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## License |
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BSD 2.0 |
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## Acknowledgments |
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- This project uses the Gradio library (https://gradio.app/) for the web interface |
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- Card generation is powered by OpenAI's language models |
