Video Translator

A Python application for translating videos from one language to another, with a Streamlit web interface for easy interaction.

Features

• Extract and translate video captions using multiple translation services:
  • OpenAI GPT
  • DeepL
  • HuggingFace
• Download videos from YouTube
• Transcribe audio to text using OpenAI Whisper
• Support for multiple input formats:
  • YouTube URLs
  • Local video files
• Output formats:
  • Text
  • JSON (with timestamps)

Screenshot

Installation

Using Poetry (Recommended)

1. Install Poetry if you haven't already:

   curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -

2. Install dependencies:

   poetry install

Using pip

pip install -r requirements.txt

Environment Variables

Create a .env file with the following API keys:

OPENAI_API_KEY=your_openai_key
DEEPL_API_KEY=your_deepl_key
HUGGINGFACE_API_TOKEN=your_huggingface_token

Running the Application

Using Poetry

poetry run streamlit run app/video_translator.py

Using Docker

make start

Or manually:

docker-compose build --no-cache
docker-compose up -d

The application will be available at http://localhost:8501

Configuration

The application can be configured through config.py. Key settings include:

• Translation service (OpenAI, DeepL, HuggingFace)
• Default source and target languages
• Output format (Text/JSON)
• Model names and API configurations

Dependencies

• Python >= 3.12
• Streamlit
• OpenAI
• DeepL
• youtube-transcript-api
• pytube
• python-dotenv

License

MIT License - See LICENSE file for details

Contributing

Feel free to open issues or submit pull requests. Please ensure tests pass before submitting PRs.

TODO

• [ ] Implement pre-trained AI models for caption translation
• [ ] Add Text-to-Speech synthesis for translated captions
• [ ] Synchronize generated speech with video timestamps
• [ ] Add support for more translation services
• [ ] Improve error handling and user feedback