b17961e9e3
Adds a dedicated MeloTTS Korean voice (speed 1.5) as the primary TTS engine, served by a long-lived in-container worker so each Discord turn pays only inference cost, not model-load cost. - bridge/melo_worker.py: tiny HTTP service in its own /opt/melo py3.11 venv, keeps the KR model warm, returns PCM16 WAV on POST /synth. - bridge/server.py: synthesize() routes to the melo worker first; Piper stays as an opt-in fallback (MELO_FALLBACK_PIPER, default off so Korean is never mangled through the English voice). /health reports tts_engine. - docker/setup-melo.sh: builds the isolated venv (pinned torch 2.12.0 / torchaudio 2.11.0 CPU, MeloTTS pinned to a commit for reproducible rebuilds), pre-fetches mecab-ko, and warms a dedicated HF cache (/opt/melo-cache) with a real KR synth so all BERT + KR checkpoint assets are baked into the image. - docker/supervisord.conf: runs melo-worker before the bridge with HF_HOME=/opt/melo-cache (the whisper_cache volume shadows the default HF cache) plus HF_HUB_OFFLINE/TRANSFORMERS_OFFLINE so it reads the baked cache and never retries the network on load. - Dockerfile/.env.example: wire the melo build layer and config knobs. Verified: offline synth passes with --network none and the prod volume mounted; prod container recreated, all supervisord services up, bot logged in, and an end-to-end /tts call returns a 44.1kHz mono PCM16 WAV. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
101 lines
2.7 KiB
Plaintext
101 lines
2.7 KiB
Plaintext
[supervisord]
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nodaemon=true
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user=root
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logfile=/var/log/supervisord.log
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pidfile=/run/supervisord.pid
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[unix_http_server]
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file=/run/supervisor.sock
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[supervisorctl]
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serverurl=unix:///run/supervisor.sock
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[rpcinterface:supervisor]
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supervisor.rpcinterface_factory = supervisor.rpcinterface:make_main_rpcinterface
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[program:xvnc]
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command=/app/docker/run-xvnc.sh
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priority=100
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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[program:pulse]
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command=/app/docker/run-pulse.sh
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priority=150
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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[program:xfce]
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command=/app/docker/run-xfce.sh
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priority=200
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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[program:novnc]
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command=websockify --web=/usr/share/novnc 6080 localhost:5901
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priority=250
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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[program:melo-worker]
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; Warm MeloTTS Korean voice (speed 1.5) in its own py3.11 venv. The bridge's
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; synthesize() POSTs here; if this is down the bridge falls back to Piper.
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command=/opt/melo/bin/python /app/bridge/melo_worker.py
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directory=/app
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; HF_HOME points at the dedicated, image-baked melo cache (warmed in
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; setup-melo.sh). The brain's whisper_cache volume is mounted over
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; /root/.cache/huggingface, so without this the pre-cached BERT + KR checkpoint
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; would be shadowed and re-downloaded (and would fail if the host is offline).
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; HF_HUB_OFFLINE/TRANSFORMERS_OFFLINE force pure-cache reads: the pinned old
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; transformers/huggingface_hub otherwise retry the network on every load and
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; error out instead of falling back to the (complete) baked cache.
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environment=MELO_LANGUAGE="KR",MELO_SPEED="1.5",MELO_DEVICE="cpu",MELO_WORKER_HOST="127.0.0.1",MELO_WORKER_PORT="8770",HF_HOME="/opt/melo-cache",HF_HUB_OFFLINE="1",TRANSFORMERS_OFFLINE="1"
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priority=280
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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[program:bridge]
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command=/opt/venv/bin/python -m bridge.server
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directory=/app
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priority=300
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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[program:chrome]
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command=/app/docker/run-chrome.sh
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priority=350
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autorestart=true
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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[program:bot]
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command=/app/docker/run-bot.sh
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directory=/app/bot
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priority=400
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autorestart=true
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startretries=999
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stdout_logfile=/dev/stdout
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/stderr
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stderr_logfile_maxbytes=0
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