Ryan Malloy
27b4c4ae29
generate_audio gains output_path + format params (wav, mp3, ogg, flac, m4a). Non-wav formats route through ffmpeg (added to the Dockerfile). Files land under /output/ inside the container, bind-mounted from the host's TTS_OUTPUT_HOST_DIR (defaults to ~/mcspeak-out). Subdirectories are auto-created. Path validation rejects writes outside /output/ — both absolute escapes like /etc/passwd and traversal forms like ../../etc/passwd are canonicalized and checked against the mount root. Extension auto-corrects to match the requested format. piper-tts service added to compose using rhasspy/wyoming-piper. Default voice es_MX-ald-medium is pre-warmed at container start and persists in ./piper-data/ across recreates (~60 MB download on first run). Port 10200 published to localhost so host-side scripts can also reach Wyoming directly; mcspeak inside the stack uses container DNS. Voice configurable via TTS_PIPER_VOICE — the same env var threads through to both wyoming-piper's --voice flag and mcspeak's settings.piper_voice, so they stay in sync. PiperEngine.__init__ accepts a default_voice override; settings.piper_voice threads it from the env. list_engines now reports the configured default rather than the hardcoded en_US-lessac-medium. speak() / generate_audio() calls with engine=piper and no explicit voice use the configured one. mcspeak-internal network changed from internal:true to default-bridge. internal:true was overkill — the goal was per-stack DNS scoping (which compose provides automatically via the project-prefixed network name), not internet isolation. The latter broke piper-tts's HuggingFace voice download with "Name resolution failure" on first start. .gitignore: add piper-data/ so the downloaded voice models stay out of the repo.
45 lines
1.3 KiB
Makefile
45 lines
1.3 KiB
Makefile
# .env is optional in kokoro-only mode (only needed for ORPHEUS_GGUF_PATH).
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# The leading dash makes Make silently tolerate a missing file.
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-include .env
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export
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.PHONY: build up up-with-orpheus down logs restart status bench
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build:
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docker compose build
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up: build
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@mkdir -p $${TTS_OUTPUT_HOST_DIR:-$$HOME/mcspeak-out}
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docker compose up -d
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@sleep 2
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docker compose logs --tail 20
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up-with-orpheus: build
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@mkdir -p $${TTS_OUTPUT_HOST_DIR:-$$HOME/mcspeak-out}
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docker compose --profile with-orpheus up -d
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@sleep 2
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docker compose logs --tail 20
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down:
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docker compose down
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logs:
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docker compose logs -f
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restart:
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docker compose restart
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@sleep 2
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docker compose logs --tail 20
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status:
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@docker compose ps
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@echo "---"
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@curl -s http://localhost:8371/mcp 2>/dev/null | head -5 || echo "Server not responding"
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bench:
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@echo "Benchmarking llama-server throughput..."
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@docker exec orpheus-llama-server curl -s "http://127.0.0.1:8081/v1/completions" \
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-H "Content-Type: application/json" \
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-d '{"prompt":"<|audio|>tara: Hello, how are you doing today?<|eot_id|>","max_tokens":500,"stream":false}' | \
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python3 -c "import sys,json; d=json.load(sys.stdin); u=d['usage']; t=d.get('timings',{}); print(f\"{u['completion_tokens']} tokens, {t.get('predicted_per_second',0):.1f} tok/s\")"
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