pocket / docker-compose.yml
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# Docker Compose for PocketTTS OpenAI-Compatible Server
#
# Usage:
# docker compose up -d # Start the server
# docker compose logs -f # View logs
# docker compose down # Stop the server
#
# Custom voices:
# Mount your own voices directory to /app/voices
services:
pockettts:
build:
context: .
dockerfile: Dockerfile
image: pockettts-openai-server:latest
container_name: pockettts-server
ports:
- '${POCKET_TTS_PORT:-49112}:49112'
environment:
- POCKET_TTS_HOST=0.0.0.0
- POCKET_TTS_PORT=49112
- POCKET_TTS_VOICES_DIR=/app/voices
- POCKET_TTS_LOG_LEVEL=${POCKET_TTS_LOG_LEVEL:-INFO}
- POCKET_TTS_STREAM_DEFAULT=${POCKET_TTS_STREAM_DEFAULT:-true}
# Model language (e.g., english, french_24l, german_24l, portuguese, italian, spanish_24l)
# Mutually exclusive with POCKET_TTS_MODEL_PATH. Requires pocket-tts>=2.0.0.
- POCKET_TTS_LANGUAGE=${POCKET_TTS_LANGUAGE:-}
# Enable int8 quantization for lower memory usage and improved speed
- POCKET_TTS_QUANTIZE=${POCKET_TTS_QUANTIZE:-false}
- POCKET_TTS_VOICE_CACHE_DIR=/app/voice_cache
# Hugging Face token for voice cloning (optional)
- HF_TOKEN=${HF_TOKEN:-}
volumes:
# Mount custom voices (optional - overrides bundled voices)
- ${POCKET_TTS_VOICES_DIR:-./voices}:/app/voices:ro
# Persist logs
- ./logs:/app/logs
# Cache HuggingFace models to avoid re-downloading
- pockettts-cache:/home/pockettts/.cache/huggingface
# Writable cache for per-model cloned voice safetensors
- pockettts-voice-cache:/app/voice_cache
restart: unless-stopped
# Resource limits (adjust based on your hardware)
deploy:
resources:
limits:
memory: 4G
reservations:
memory: 2G
healthcheck:
test:
[
'CMD',
'python',
'-c',
"import urllib.request; urllib.request.urlopen('http://localhost:49112/health')",
]
interval: 30s
timeout: 10s
retries: 3
start_period: 120s # Model loading takes time
volumes:
pockettts-cache:
name: pockettts-huggingface-cache
pockettts-voice-cache:
name: pockettts-voice-cache