Ryan Malloy
eaff3e8861
Each project gets a distinct voice from a curated English pool, assigned via round-robin with gender/accent interleaving for maximum perceptual contrast between consecutive projects. - New voice_identity.py: pool filtering, interleaving, persistence - Round-robin replaces SHA-256 hashing (no collisions until pool exhaustion at 22 voices) - Assignments persist to /data/voice-assignments.json across restarts - speak() and generate_audio() accept optional project= parameter - MCP roots fallback with 2s timeout for future bidirectional clients - English-only pool (af_/am_/bf_/bm_/ef_/em_ prefixes) - af_nicole excluded from auto-assign (whispery), still explicit-ok - Fix voice blacklist to use full identifiers (am_adam, af_jessica)
71 lines
1.9 KiB
YAML
71 lines
1.9 KiB
YAML
services:
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tts-mcp:
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build: .
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container_name: tts-mcp
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restart: unless-stopped
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env_file: .env
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environment:
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# Override for Docker networking (container DNS instead of IPs)
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TTS_PIPER_HOST: piper-tts
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TTS_ORPHEUS_URL: http://llama-server:8081
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# PipeWire client config
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XDG_RUNTIME_DIR: /run/user/1000
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volumes:
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# Kokoro ONNX models (read-only)
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- ./models:/app/models:ro
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# HuggingFace cache for SNAC model download (lazy-loaded on first Orpheus call)
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- hf-cache:/home/tts/.cache/huggingface
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# Persistent data (voice assignments, etc.)
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- tts-data:/data
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# PipeWire socket for audio playback through host speakers
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- /run/user/1000/pipewire-0:/run/user/1000/pipewire-0
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depends_on:
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llama-server:
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condition: service_healthy
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networks:
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- caddy
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- dootie-internal
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labels:
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caddy: voice.l.supported.systems
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caddy.reverse_proxy: "{{upstreams 8371}}"
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llama-server:
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build:
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context: .
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dockerfile: llama-server.Dockerfile
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container_name: orpheus-llama-server
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restart: unless-stopped
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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volumes:
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# GGUF model file (set ORPHEUS_GGUF_PATH in .env, e.g. from Ollama blob storage)
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- ${ORPHEUS_GGUF_PATH}:/models/orpheus.gguf:ro
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command: >-
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--host 0.0.0.0 --port 8081
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--model /models/orpheus.gguf
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--n-gpu-layers 999 --ctx-size 4096
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--flash-attn --cont-batching
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networks:
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- dootie-internal
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healthcheck:
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test: ["CMD", "curl", "-sf", "http://127.0.0.1:8081/health"]
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interval: 15s
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timeout: 5s
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start_period: 120s
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retries: 5
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volumes:
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hf-cache:
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tts-data:
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networks:
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caddy:
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external: true
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dootie-internal:
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external: true
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