A-TEST/dockerfile at main · celialychee/A-TEST · GitHub

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# 基础镜像选择cuda12.8
FROM nvidia/cuda:12.8.0-base-ubuntu22.04

# 设置非交互模式，避免apt安装时的交互提示
ENV DEBIAN_FRONTEND=noninteractive

# 时间zone设置，避免部分工具警告
ENV TZ=Asia/Shanghai
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone

# ===============
# 1. 安装系统依赖
# ===============
RUN apt-get update && apt-get install -y \
    wget \
    curl \
    git \
    bzip2 \
    ca-certificates \
    build-essential \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender1 \
    && rm -rf /var/lib/apt/lists/*

# =========================
# 2. 安装 Miniconda
# =========================
ENV CONDA_DIR=/opt/conda
RUN wget -q https://repo.anaconda.com/miniconda/Miniconda3-py310_24.1.2-0-Linux-x86_64.sh -O /tmp/miniconda.sh \
    && bash /tmp/miniconda.sh -b -p $CONDA_DIR \
    && rm /tmp/miniconda.sh

ENV PATH=$CONDA_DIR/bin:$PATH

# =========================
# 3. 拷贝并解压 Conda 环境
# =========================
WORKDIR /opt/app

# 将导出的环境复制到工作目录
COPY py310.tar.gz /opt/app/

RUN mkdir -p /opt/conda/envs/py310 \
    && tar -xzf py310.tar.gz -C /opt/conda/envs/py310 \
    && rm py310.tar.gz

# 激活环境（通过 PATH，而不是 conda activate）
ENV CONDA_DEFAULT_ENV=py310
ENV PATH=/opt/conda/envs/py310/bin:$PATH

# ===================================
# 4. 拷贝你的 Streamlit / vLLM 应用代码
# ===================================
COPY . /opt/app

# =========================
# 5. Streamlit 端口
# =========================
EXPOSE 8501

# =========================
# 6. 启动命令
# =========================
CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]