.env.example

# AI VideoTranslator Configuration
# Copy this file to .env and adjust settings as needed

# Whisper Model Settings
# Options: tiny, base, small, medium, large
VIDEOTRANSLATOR_WHISPER_MODEL=base

# Language for transcription (ISO 639-1 code)
# Leave empty for auto-detection
VIDEOTRANSLATOR_LANGUAGE=en

# Device to run Whisper on
# Options: cpu, cuda
VIDEOTRANSLATOR_DEVICE=cpu

# Video Processing Settings
VIDEOTRANSLATOR_AUDIO_BITRATE=192k
VIDEOTRANSLATOR_VIDEO_CODEC=libx264
VIDEOTRANSLATOR_SUBTITLE_CODEC=mov_text

# Logging
# Options: DEBUG, INFO, WARNING, ERROR
VIDEOTRANSLATOR_LOG_LEVEL=INFO

# LibreTranslate Settings
# URL of LibreTranslate service (default: http://localhost:5000)
VIDEOTRANSLATOR_LIBRETRANSLATE_HOST=http://localhost:5000

# API key for LibreTranslate (optional - leave empty if not using authentication)
VIDEOTRANSLATOR_LIBRETRANSLATE_API_KEY=

# Translation timeout in seconds
VIDEOTRANSLATOR_LIBRETRANSLATE_TIMEOUT=30

# AWS Settings (Optional - only if using cloud features)
# VIDEOTRANSLATOR_AWS_BUCKET=your-bucket-name
# VIDEOTRANSLATOR_AWS_REGION=us-east-1