DenozordecandClaude Sonnet 5.5
71d9700f55
docker / build (push) Successful in 21s
Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
40 lines
1.4 KiB
Docker
40 lines
1.4 KiB
Docker
# syntax=docker/dockerfile:1
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# grabber-ai: HTTP-сервис определения дорожек озвучки (FastAPI), CPU.
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#
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# python tools/pack_models.py --stage docker-models # положить модели в образ (необязательно)
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# docker build -t grabber-ai .
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#
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# Без шага pack_models образ собирается без моделей — тогда смонтируйте каталог: -v ./models:/app/models:ro
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FROM python:3.12-slim
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1 \
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HF_HUB_OFFLINE=1 \
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TRANSFORMERS_OFFLINE=1 \
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TOKENIZERS_PARALLELISM=false \
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DUB_HOST=0.0.0.0 \
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DUB_PORT=8000 \
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DUB_MODEL_DIR=/app/models/best \
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DUB_SEGMENTER_DIR=/app/models/segmenter
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WORKDIR /app
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# torch без CUDA: образ в разы легче, на VPS GPU нет
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RUN pip install torch==2.11.0 --index-url https://download.pytorch.org/whl/cpu
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COPY requirements-service.txt .
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RUN pip install -r requirements-service.txt
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COPY src/ src/
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COPY docker-models/models/ models/
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RUN useradd --system --uid 10001 --no-create-home dub
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USER dub
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EXPOSE 8000
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HEALTHCHECK --interval=30s --timeout=5s --start-period=120s --retries=3 \
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CMD python -c "import os,urllib.request as u; u.urlopen('http://127.0.0.1:%s/health' % os.environ.get('DUB_PORT','8000'), timeout=4)"
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CMD ["python", "-m", "src.service"]
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