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docker-compose.example.yml
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# ABS-KoSync Enhanced - Example Docker Compose Configuration
#
# Copy this file to docker-compose.yml and fill in your values.
# See README.md for detailed configuration instructions.
services:
abs-kosync:
image: ghcr.io/cporcellijr/abs-kosync-bridge:latest
# Optional: Build locally if you need specific modifications or GPU libraries included
# build:
# context: .
# args:
# # Set to "true" to download NVIDIA CUDA libraries (adds ~800MB to image)
# INSTALL_GPU: "false"
container_name: abs_kosync
restart: unless-stopped
environment:
# ============================================
# General Settings
# ============================================
- TZ=America/New_York
- LOG_LEVEL=INFO
# ============================================
# Configuration Note
# ============================================
# All other configuration (ABS, KoSync, Providers, etc.)
# is now managed via the Web UI variables at http://localhost:8080/settings
volumes:
# ============================================
# REQUIRED VOLUMES
# ============================================
# App data (database, transcripts, state)
- ./data:/data
# Main ebook library (for sync matching)
- /path/to/your/ebooks:/books
# ============================================
# OPTIONAL VOLUMES
# ============================================
# Storyteller database (for SQLite fallback)
- /path/to/storyteller/data:/storyteller_data
# Book Linker volumes
- /path/to/source/ebooks:/linker_books
- /path/to/audiobooks:/audiobooks
- /path/to/processing/folder:/processing
- /path/to/storyteller/library:/storyteller/library
ports:
- "8080:5757"
networks:
- your-network
# ============================================
# GPU SUPPORT (OPTIONAL)
# ============================================
# Uncomment below to enable NVIDIA GPU acceleration for Whisper.
# Requires: docker with nvidia-container-toolkit installed.
# See: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html
#
# deploy:
# resources:
# reservations:
# devices:
# - driver: nvidia
# count: 1
# capabilities: [gpu]
networks:
your-network:
external: true