45 lines
1001 B
Docker
45 lines
1001 B
Docker
# 使用支持CUDA的PyTorch基础镜像
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FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
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# 设置工作目录
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WORKDIR /app
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# 设置pip镜像源
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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# 安装系统依赖
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RUN apt-get update && apt-get install -y \
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libglib2.0-0 \
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libsm6 \
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libxext6 \
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libxrender-dev \
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libgomp1 \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# 复制requirements.txt
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COPY requirements.txt .
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# 安装Python依赖
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RUN pip install --no-cache-dir -r requirements.txt
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# 复制应用代码
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COPY app/ /app/app/
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# 创建models目录
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RUN mkdir -p /app/models
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# 设置环境变量
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ENV PYTHONPATH=/app
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ENV MODEL_DIR=/app/models
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ENV PYTHONUNBUFFERED=1
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# 暴露端口（仅内部使用）
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EXPOSE 8000
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
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CMD curl -f http://localhost:8000/health || exit 1
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# 启动应用
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"] |