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https://github.com/t-charura/language-transfer-flashcards
CLI tool converting Language Transfer lessons into Anki flashcards, automating content extraction for efficient language learning.
https://github.com/t-charura/language-transfer-flashcards
anki cli extraction flashcards language-learning language-transfer python spaced-repetition vocabulary-flashcards
Last synced: 3 months ago
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CLI tool converting Language Transfer lessons into Anki flashcards, automating content extraction for efficient language learning.
- Host: GitHub
- URL: https://github.com/t-charura/language-transfer-flashcards
- Owner: t-charura
- License: mit
- Created: 2024-07-22T14:21:33.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-09-17T08:48:45.000Z (4 months ago)
- Last Synced: 2024-09-26T21:01:27.105Z (3 months ago)
- Topics: anki, cli, extraction, flashcards, language-learning, language-transfer, python, spaced-repetition, vocabulary-flashcards
- Language: Python
- Homepage:
- Size: 490 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
*Language Transfer Flashcards (LTF) is a CLI tool designed to enhance your language learning experience by bridging the
gap between [Language Transfer's](https://www.languagetransfer.org/) audio lessons
and [Anki's](https://apps.ankiweb.net/) spaced repetition system. This project transforms the rich content of Language
Transfer YouTube lessons into easily digestible flashcards, allowing learners to reinforce their knowledge effectively.*
About the Project •
Installation •
Usage •
Limitations •
Anki: CSV Import •
Roadmap •
Contact
---
---
## About the Project
### Key Features
- **🤖 Automated Extraction:** Extracts words, phrases, and sentences with translations from Language Transfer YouTube
lessons.
- **📚 Anki Integration:** Generates CSV files ready for direct import into Anki, creating instant flashcard decks (OpenAI
API key required).
- **🔄 Alternative Workflow:** Download a text file, containing the prompt and lesson transcript to use with your favorite
LLM web interface (e.g., ChatGPT, Claude, etc.).
### Why it's Valuable?
- **🚀 Boost Learning Efficiency:** Combine Language Transfer's proven method with Anki's powerful spaced repetition.
- **⏱️ Save Time:** Automate hours of manual flashcard creation.
- **🛠️ Customizable:** Adapt to your preferred workflow, with or without API access.
### Build With
## Installation
**Recommended:** Create and activate
a [virtual environment](https://docs.python.org/3/library/venv.html#creating-virtual-environments) before installing the
tool.
**Using pip**
``` bash
pip install language-transfer-flashcards
```
**Using poetry**
``` bash
poetry add language-transfer-flashcards
```
To verify that everything works and to see all available commands
``` bash
ltf --help
```
### Configuration with .env file [optional, but recommended]
Create a `.env` file in your home directory under `~/.ltf/.env` with the following variables:
``` properties
OPENAI_API_KEY=
OPENAI_MODEL_NAME=gpt-4o
TARGET_LANGUAGE=Swahili
```
Not sure where to create the .env file in your system?
``` bash
ltf env-location
```
To see all available OpenAI model names, check the [official docs](https://platform.openai.com/docs/models).
To see all valid values for `TARGET_LANGUAGE`
``` bash
ltf csv --help
```
**Note:** The OpenAI-related variables are optional if you're not using the API.
## Usage
Create flashcards in CSV format - file will be saved in current working directory
``` bash
ltf csv https://www.youtube.com/watch?v=VIDEO_ID # assumes .env file exists
```
Without the .env file, specify your target-language, the OpenAI model name and API key
``` bash
ltf csv https://www.youtube.com/watch?v=VIDEO_ID -l Swahili -m gpt-4o -k "YOUR_OPENAI_API_KEY"
```
**Important:** Find the YouTube URLs for all Language Transfer lessons [here](https://www.youtube.com/@LanguageTransfer/playlists).
### Usage without using the OpenAI API
Download the full prompt which is used to extract the content of the language lesson in a txt file.
``` bash
ltf prompt https://www.youtube.com/watch?v=VIDEO_ID # assumes .env file exists
```
If there is no .env file, add your target-language to the command, for example: `-l Swahili`
**Manual Processing**
- Copy the downloaded content into your favorite LLM web interface - recommended: [ChatGPT](https://chatgpt.com/)
or [Claude](https://claude.ai/new).
- The output will be the content of the lesson in CSV format -> English, Translation.
- Copy the output into a text editor and create a CSV file
- Import the CSV file into Anki
## Limitations
- **AI Imperfections:** LLMs may occasionally produce inaccurate translations or misinterpret context.
- **Transcript Quality:** YouTube's auto-generated transcripts can contain errors.
- **Content Discrepancies:** Flashcards may sometimes differ from the exact lesson content due to transcript and AI
limitations. Review your final flashcards before importing them into Anki.
- **Technical Requirements:** Basic command-line knowledge is needed.
- **Estimated API Costs per Lesson:**
- gpt-4o: ~$0.01
- gpt-4o-mini: < $0.0005
## Anki: CSV Import
1. Open Anki
2. Create or select a deck for your target language
3. Navigate to `File` > `Import`
4. Select your generated CSV file for upload
5. Select the correct seperator for your CSV file, configure `Import options` and click on `Import`
## Roadmap
- [x] Publish on PyPI
- [ ] Add support for other LLMs (including Ollama)
- [ ] Create a web-based interface for non-technical users
## Contact
- **🌐 Website:** [https://charura.com](https://charura.com)
- **📧 Email:** [email protected]
- **👨💻 GitHub:** [@t-charura](https://github.com/t-charura)
---
If you find Language Transfer Flashcards helpful, please consider giving it a ⭐️ on GitHub!
