nakplae 0.6.0

Video transcription and translation tool using Whisper and Gemini

Nakplae

A simple, elegant tool for transcribing videos to SRT subtitles and translating them with minimal dependencies.

Features

• Transcribe video files to SRT subtitles using Whisper locally (small.en model)
• Translate SRT subtitles using Google's Gemini 2.0 Flash model
• Supports translation to any language (defaults to Thai)
• GPU acceleration for faster transcription (CUDA and Apple Silicon MPS support)
• Real-time Whisper progress output for better visibility
• Simple command-line interface
• Minimal dependencies

Installation

Setup Environment

1. Create a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   

2. Install the package:

   # Installation from PyPI (includes GPU support by default)
   pip install nakplae
   

   For developers:

   # Clone the repository
   git clone https://github.com/elimydlarz/nakplae.git
   cd nakplae
   
   # Install in development mode
   pip install -e ".[dev]"
   

Prerequisites

1. Ensure you have FFmpeg installed (required by Whisper)

   • On macOS: brew install ffmpeg
   • On Ubuntu: sudo apt install ffmpeg
   • On Windows: Download from the official website or use chocolatey

2. For local LLM translation (optional):

   • Install llama.cpp and ensure llama is in your PATH

3. For Gemini translation:

   • Set GEMINI_API_KEY environment variable with your API key:

     export GEMINI_API_KEY=your_api_key_here
     

   • Uses the Gemini 2.0 Flash model for translations

Usage

After installation, you can use the nakplae command directly:

# Basic usage (translates to Thai by default)
nakplae video_file.mp4

# Translate to a different language
nakplae video_file.mp4 --lang "Spanish"

# Only transcribe, don't translate
nakplae video_file.mp4 --transcribe-only

# Specify output directory
nakplae video_file.mp4 --lang "French" --output /path/to/output

If you installed in development mode, you can also run:

python -m nakplae video_file.mp4 --lang "Spanish"

The program will automatically use GPU acceleration if available (CUDA on NVIDIA GPUs or MPS on Apple Silicon).

Development

# Run tests
pytest

# Format code
black .

# Run linter
ruff check .

# Run type checker
mypy nakplae

Project Structure

nakplae/
├── nakplae/
│   ├── __init__.py
│   ├── __main__.py
│   ├── transcribe.py
│   └── translate.py
├── tests/
├── pyproject.toml
├── requirements.txt
└── requirements-dev.txt

License

MIT