tr-stack/sample.env at main · trunk-reporter/tr-stack · GitHub

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# =============================================================================
# tr-stack — Environment Configuration
# Copy to .env and fill in your values.
# =============================================================================

# IP to bind external ports (default: all interfaces)
# BIND_IP=192.168.1.100

# Port Caddy listens on
HTTP_PORT=80

# Public-facing address (what browsers use — your server's IP or hostname)
# Examples: http://192.168.1.100  or  https://radio.example.com
SITE_ADDRESS=http://YOUR_SERVER_IP

# PostgreSQL credentials
POSTGRES_USER=trengine
POSTGRES_PASSWORD=change-me
POSTGRES_DB=trengine

# Auth — disabled by default for local installs
# Set AUTH_ENABLED=true and configure tokens/password for public-facing deployments
AUTH_ENABLED=false

# API tokens (only needed when AUTH_ENABLED=true)
# AUTH_TOKEN=    # generate with: openssl rand -base64 32
# WRITE_TOKEN=
# ADMIN_PASSWORD=

# MQTT topics — must match your trunk-recorder plugin config
MQTT_TOPICS=tr/#

# Transcription provider
STT_PROVIDER=imbe
IMBE_ASR_URL=http://imbe-asr:8000

# IMBE-ASR model selection (downloads automatically from HuggingFace on first run)
# Options:
#   trunk-reporter/imbe-asr-base-512d-p25   — P25 fine-tuned, best for live radio (default)
#   trunk-reporter/imbe-asr-large-1024d     — 290M model, best accuracy on clean speech
#   trunk-reporter/imbe-asr-base-512d       — base model, good for edge/Pi deployment
IMBE_ASR_MODEL=trunk-reporter/imbe-asr-base-512d-p25
IMBE_ASR_DEVICE=cuda    # set to 'cpu' if no GPU (automatic with docker-compose.pi.yml)

# Raspberry Pi notes:
# - Use docker-compose.pi.yml override (sets cpu device + smaller model automatically)
# - The base-512d model is recommended for Pi — lower memory and faster inference
# - See README.md "Running on Raspberry Pi" section for full details

# Optional: point at trunk-recorder's audio dir for file-based ingest
# TR_AUDIO_DIR=/app/audio
# Path to libimbe.so on your host (required for IMBE decoding)
# LIBIMBE_PATH=/usr/local/lib/libimbe.so