podcli/.env.example at main · nmbrthirteen/podcli · GitHub

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# podcli Configuration

# Whisper model size: tiny, base, small, medium, large
WHISPER_MODEL=base

# Device for Whisper: cpu, cuda, auto
WHISPER_DEVICE=auto

# FFmpeg paths (leave blank to use system defaults)
FFMPEG_PATH=
FFPROBE_PATH=

# Python path (leave blank to auto-detect venv)
PYTHON_PATH=

# Working directory (defaults to .podcli/ in project root)
PODCLI_HOME=

# HuggingFace token for speaker diarization (pyannote)
# 1. Accept terms: https://huggingface.co/pyannote/speaker-diarization-3.1
# 2. Create token (Read permission): https://huggingface.co/settings/tokens
HF_TOKEN=

# Output quality: low, medium, high, max
# low=fast/small, high=great quality (default), max=near-lossless
PODCLI_QUALITY=high

# Transition QA/autofix passes (0=off, 1-2 allowed; renderer hard-caps at 2)
PODCLI_TRANSITION_AUTOFIX_PASSES=2

PORT=3847                          # Web UI port

# Logging
LOG_LEVEL=info
DEBUG=false