3f3bc72680
Stand up a second deploy target on apex-simulation dedicated to "simulation"-style supplier capabilities, starting with CPU-only PiperTTS served via openedai-speech-min behind Traefik on :80. - deploy/simulation/docker-compose.traefik.yml: Traefik latest with introspection API, settles on Docker daemon 29.x API negotiation - deploy/simulation/docker-compose.tts-piper.yml: openedai-speech-min with curl-based healthcheck (image lacks wget, which Docker would have marked unhealthy and Traefik would filter from the docker provider) - deploy/simulation/deploy.sh: rsync-based deploy mirroring the apex-dashboard pattern; selective --traefik-only / --tts-only flags - deploy/simulation/install-voice-extras.sh + voice-mappings.py: idempotent post-deploy step that downloads en_US-lessac-high voice files into the bind-mount and registers a "lessac" alias in voice_to_speaker.yaml; survives a host wipe without manual steps - deploy/simulation/README.md: full host runbook - .gitignore: exclude data/ recursively, *.log, .vitest-cache, .DS_Store, __pycache__/, *.pyc, docs/*.zip
81 lines
3.5 KiB
YAML
81 lines
3.5 KiB
YAML
# deploy/simulation/docker-compose.tts-piper.yml — PiperTTS as OpenAI-compatible /v1/audio/speech
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#
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# Wraps rhasspy/piper (CPU neural TTS) behind matatonic/openedai-speech,
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# which exposes the OpenAI Audio API (`POST /v1/audio/speech`). Once
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# online behind Traefik on `apex-simulation`, this becomes a viable
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# capability for a future `audio.synthesize.v1` supplier in the
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# marketplace — same OpenAI-shaped HTTP surface as Ollama for chat.
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#
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# `*-min` image is the CPU/Piper-only variant (the full image pulls
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# parler-tts + xtts which want a GPU). Default model is `en_US-amy-low`
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# — small (~10 MB) and fast on CPU. Add `PRELOAD_MODEL=...` env to
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# pre-warm a different voice on boot.
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#
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# Bring up:
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# docker compose -f deploy/simulation/docker-compose.tts-piper.yml up -d
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#
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# Quick test (from any host that resolves the Traefik route):
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# curl -s -X POST https://tts-piper.vector.testnet.apexfusion.org/v1/audio/speech \
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# -H "Content-Type: application/json" \
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# -d '{"model":"tts-1","input":"Hello from the marketplace.","voice":"alloy","response_format":"wav"}' \
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# -o /tmp/out.wav && aplay /tmp/out.wav # or `mpv` / `ffplay`
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name: marketplace-tts-piper
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services:
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tts-piper:
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image: ghcr.io/matatonic/openedai-speech-min:latest
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container_name: marketplace-tts-piper
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restart: unless-stopped
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environment:
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# Pre-load Piper's highest-quality American-English voice so first
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# /v1/audio/speech doesn't pay the model-download tax. `-high`
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# variants are 60–70 MB and noticeably more natural than `-low`/
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# `-medium` on CPU. Browse alternatives at
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# https://huggingface.co/rhasspy/piper-voices/tree/main
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# en_US-lessac-high — clean female, very natural (default)
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# en_GB-alan-high — British male
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# en_US-ryan-high — American male
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# en_US-libritts_r-medium — multi-speaker (904 voices)
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PRELOAD_MODEL: en_US-lessac-high
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# Expose port — matches the loadbalancer label below.
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PORT: "8000"
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volumes:
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# Host bind mounts (not Docker named volumes) so the deploy user can
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# `ls`/`du`/back-up the downloaded Piper voices directly without
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# `docker volume inspect`. Paths are relative to THIS compose file,
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# i.e. `deploy/simulation/data/tts-piper/{voices,config}` from the
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# repo root. Create the dirs once before `compose up` (see README).
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- ./data/tts-piper/voices:/app/voices
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- ./data/tts-piper/config:/app/config
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healthcheck:
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# /v1/models is the OpenAI-shape model list; a 200 here proves the
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# server is up and at least one voice is loaded. Image ships with
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# curl (and python3) but NOT wget — using wget here marks the
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# container unhealthy on every probe, and Traefik then filters it
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# out of the docker provider ("Filtering unhealthy or starting
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# container"), which means no router ever registers.
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test: ["CMD-SHELL", "curl -fsS http://localhost:8000/v1/models >/dev/null || exit 1"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 90s
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networks:
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- traefik-net
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labels:
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- "traefik.enable=true"
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- "traefik.docker.network=traefik-net"
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- "traefik.http.routers.tts-piper.entrypoints=web"
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- "traefik.http.routers.tts-piper.rule=Host(`tts-piper.vector.testnet.apexfusion.org`)"
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- "traefik.http.services.tts-piper.loadbalancer.server.port=8000"
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logging:
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driver: json-file
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options:
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max-size: "10m"
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max-file: "3"
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networks:
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traefik-net:
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external: true
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name: traefik-net
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