sparknlp-gguf / Dockerfile
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# Use an older Ubuntu version that supports Python 3.4
FROM ubuntu:14.04
# Update package lists and install required dependencies
RUN apt-get update && apt-get install -y \
software-properties-common \
build-essential \
libssl-dev \
zlib1g-dev \
libncurses5-dev \
libgdbm-dev \
libnss3-dev \
libreadline-dev \
libffi-dev \
wget \
curl \
&& rm -rf /var/lib/apt/lists/*
# Add deadsnakes PPA for Python 3.4
RUN add-apt-repository ppa:deadsnakes/ppa && apt-get update
# Install Python 3.4
RUN apt-get install -y python3.4 python3.4-dev python3.4-venv
# Install pip for Python 3.4
RUN curl https://bootstrap.pypa.io/pip/3.4/get-pip.py -o get-pip.py && \
python3.4 get-pip.py && \
rm get-pip.py
# Verify Python and pip versions
RUN python3.4 --version && python3.4 -m pip --version
# Copy requirements file (if applicable)
COPY requirements.txt /tmp/requirements.txt
# Install Python dependencies
RUN python3.4 -m pip install --no-cache-dir -r /tmp/requirements.txt
# Create a new user
RUN useradd -m -u ${NB_UID} ${NB_USER}
# Switch to the new user
USER ${NB_USER}
# Set user-specific environment variables
ENV HOME=/home/${NB_USER}
ENV PATH=/home/${NB_USER}/.local/bin:$PATH
# Copy application code to the container
COPY --chown=${NB_USER}:${NB_USER} . ${HOME}
# Expose port for Streamlit
EXPOSE 7860
# Define the entry point for the container
ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]