Video transcription and translation tool using Whisper and Gemini
Project description
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)
- Simple command-line interface
- Minimal dependencies
Installation
Setup Environment
-
Create a virtual environment:
python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate
-
Install the package:
# Basic installation pip install -e . # With all development tools pip install -e ".[dev,gemini]" # Or from requirements files pip install -r requirements.txt pip install -r requirements-dev.txt # For development
Prerequisites
-
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
- On macOS:
-
For local LLM translation (optional):
- Install llama.cpp and ensure
llamais in your PATH
- Install llama.cpp and ensure
-
For Gemini translation:
- Set
GEMINI_API_KEYenvironment variable with your API key:export GEMINI_API_KEY=your_api_key_here
- Uses the Gemini 2.0 Flash model for translations
- Set
Usage
# Basic usage (translates to Thai by default)
python -m nakplae video_file.mp4
# Translate to a different language
python -m nakplae video_file.mp4 --lang "Spanish"
# Only transcribe, don't translate
python -m nakplae video_file.mp4 --transcribe-only
# Specify output directory
python -m nakplae video_file.mp4 --lang "French" --output /path/to/output
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
Project details
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