Datasets:
Update README.md
#1
by
zinderud
- opened
Sayha
YouTube Video Audio and Subtitles Extraction
Sayha is a tool designed to download YouTube videos and extract their audio and subtitle data. This can be particularly useful for creating datasets for machine learning projects, transcription services, or language studies.
Features
- Download YouTube videos.
- Extract audio tracks from videos.
- Retrieve and process subtitle files.
- Prepare datasets for various applications.
Installation
Clone the Repository:
git clone https://github.com/zinderud/Sayha.git
cd Sayha
Sayha
YouTube Video Audio and Subtitles Extraction
Sayha is a tool designed to download YouTube videos and extract their audio and subtitle data. This can be particularly useful for creating datasets for machine learning projects, transcription services, or language studies.
Features
- Download YouTube videos.
- Extract audio tracks from videos.
- Retrieve and process subtitle files.
- Prepare datasets for various applications.
Installation
Clone the Repository:
git clone https://github.com/zinderud/Sayha.git
cd Sayha
pip install -r requirements.txt
Usage
Download Videos:
Use the provided scripts to download YouTube videos. For example:
python [script.py](http://script.py/)
Extract Audio and Subtitles:
After downloading, run the processing scripts to extract audio and subtitles:
python colab_processor.py
Upload to Hugging Face:
If you wish to share your dataset, you can upload it to Hugging Face:
python upload_to_huggingface.py
Contributing
Contributions are welcome! Feel free to open issues or submit pull requests.
License
This project is licensed under the MIT License.