acdf098c41
Mirrors the ASR backend pattern exactly: a BACKENDS dict in
tts/router.py maps a backend name to its worker URL, so adding the
next backend is just a new worker file + venv + supervisord entry +
one dict line. XTTS-v2 runs in its own venv (--system-site-packages,
inherits base image torch/CUDA) as a new supervisord program on
port 8005.
XTTS is zero-shot voice cloning, so a reference-voice library was
added (/tts/voices CRUD, stored under /srv/tts/voices) — synthesis
requires picking a previously uploaded voice. Results and model
cache live under /srv/tts/{results,models-cache}, new quadlet
volumes, owned by the same 983:983 user as the existing /srv/asr
dirs.
Fixed two environment issues uncovered while getting XTTS to
actually run inside the container (non-root user, root-built venvs):
- coqui-tts only pins transformers>=4.57 with no ceiling, so pip
installed an incompatible 5.x; pinned to the last 4.x release.
- HOME defaults to /app (owned by root) for the container's runtime
user, so numba/matplotlib/torch cache writes failed; HOME is now
forced to /tmp in all three workers (faster_whisper, qwen3, xtts)
before any of those libraries get imported.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
48 lines
1.4 KiB
Docker
48 lines
1.4 KiB
Docker
FROM docker.io/pytorch/pytorch:2.7.0-cuda12.6-cudnn9-runtime
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1 \
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WHISPER_CACHE_DIR=/srv/asr/models-cache \
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ASR_BASE_DIR=/srv/asr
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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libsndfile1 \
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curl \
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supervisor \
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python3-venv \
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&& rm -rf /var/lib/apt/lists/*
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COPY envs/ /build/envs/
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# gateway venv — 경량, GPU 불필요
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RUN python -m venv /opt/venvs/gateway && \
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/opt/venvs/gateway/bin/pip install --upgrade pip && \
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/opt/venvs/gateway/bin/pip install -r /build/envs/gateway.txt
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# faster-whisper venv — CTranslate2가 CUDA 직접 처리
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RUN python -m venv /opt/venvs/faster_whisper && \
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/opt/venvs/faster_whisper/bin/pip install --upgrade pip && \
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/opt/venvs/faster_whisper/bin/pip install -r /build/envs/faster_whisper.txt
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# qwen3 venv — base image의 torch/CUDA 상속
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RUN python -m venv --system-site-packages /opt/venvs/qwen3 && \
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/opt/venvs/qwen3/bin/pip install --upgrade pip && \
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/opt/venvs/qwen3/bin/pip install -r /build/envs/qwen3.txt
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# xtts venv — base image의 torch/CUDA 상속
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RUN python -m venv --system-site-packages /opt/venvs/xtts && \
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/opt/venvs/xtts/bin/pip install --upgrade pip && \
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/opt/venvs/xtts/bin/pip install -r /build/envs/xtts.txt
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COPY app/ /app/
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RUN chmod +x /app/start.sh
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EXPOSE 8000
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CMD ["/app/start.sh"]
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