Dockerfile

FROM modelscope-registry.us-west-1.cr.aliyuncs.com/modelscope-repo/modelscope:ubuntu22.04-py311-torch2.3.1-1.28.0

ENV DEBIAN_FRONTEND=noninteractive \
    TZ=Asia/Shanghai

# Remove any third-party apt sources and install basic utilities
RUN rm -f /etc/apt/sources.list.d/*.list && \
    apt-get update && apt-get install -y --no-install-recommends \
    curl \
    ca-certificates \
    sudo \
    git \
    wget \
    procps \
    git-lfs \
    zip \
    unzip \
    htop \
    vim \
    nano \
    bzip2 \
    libx11-6 \
    build-essential \
    libsndfile-dev \
    software-properties-common \
 && rm -rf /var/lib/apt/lists/*

# Add cloudflare gpg key
RUN mkdir -p --mode=0755 /usr/share/keyrings && \
    curl -fsSL https://pkg.cloudflare.com/cloudflare-main.gpg | tee /usr/share/keyrings/cloudflare-main.gpg >/dev/null

# Add this repo to your apt repositories
RUN echo 'deb [signed-by=/usr/share/keyrings/cloudflare-main.gpg] https://pkg.cloudflare.com/cloudflared any main' | tee /etc/apt/sources.list.d/cloudflared.list

# install cloudflared
RUN apt-get update && apt-get install -y cloudflared && rm -rf /var/lib/apt/lists/*

# Install Node.js for Jupyter extensions
RUN curl -sL https://deb.nodesource.com/setup_21.x | bash - && \
    apt-get install -y nodejs && \
    npm install -g configurable-http-proxy

# Define error handling function and install Claude Code CLI
RUN handle_error() { echo "错误: $1" >&2; exit 1; } && \
    npm install -g @anthropic-ai/claude-code || handle_error "安装Claude Code CLI失败"

# Create a working directory
WORKDIR /app

# Create a non-root user and switch to it
RUN adduser --disabled-password --gecos '' --shell /bin/bash user \
 && chown -R user:user /app
RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
USER user

# All users can use /home/user as their home directory
ENV HOME=/home/user
RUN mkdir $HOME/.cache $HOME/.config \
 && chmod -R 777 $HOME

# Set up the Conda environment with Python 3.11
ENV CONDA_AUTO_UPDATE_CONDA=false \
    PATH=$HOME/miniconda/bin:$PATH
RUN curl -sLo ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-py311_23.5.2-0-Linux-x86_64.sh \
 && chmod +x ~/miniconda.sh \
 && ~/miniconda.sh -b -p ~/miniconda \
 && rm ~/miniconda.sh \
 && conda clean -ya

WORKDIR $HOME/app

#######################################
# Start root user section
#######################################

USER root

# Create data directory
RUN mkdir /data && chown user:user /data

#######################################
# End root user section
#######################################

USER user

# Install Python packages using conda and pip
RUN conda install -c conda-forge python=3.11 && \
    pip install --no-cache-dir --upgrade pip

# Copy requirements and install Python packages
COPY --chown=user requirements.txt $HOME/app/
RUN pip install --no-cache-dir --upgrade -r requirements.txt

# Copy the current directory contents into the container
COPY --chown=user . $HOME/app

RUN chmod +x start_server.sh

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    GRADIO_ALLOW_FLAGGING=never \
    GRADIO_NUM_PORTS=1 \
    GRADIO_SERVER_NAME=0.0.0.0 \
    GRADIO_THEME=huggingface \
    SYSTEM=spaces \
    SHELL=/bin/bash \
    JUPYTER_TOKEN=huggingface

CMD ["./start_server.sh"]