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# Use the official Python image from the Docker Hub | |
FROM python:3.10-slim | |
# Set up a new user named "user" with user ID 1000 | |
RUN useradd -m -u 1000 user | |
# Set environment variables for the cache directory (use a writable directory) | |
ENV TRANSFORMERS_CACHE=/home/user/.cache/huggingface | |
# Create and set the cache directory so the user can write to it | |
RUN mkdir -p /home/user/.cache/huggingface && chown -R user:user /home/user/.cache | |
# Switch to the "user" user | |
USER user | |
# Set home to the user's home directory | |
ENV HOME=/home/user \ | |
PATH=/home/user/.local/bin:$PATH | |
# Set the working directory to the user's home directory | |
WORKDIR $HOME/app | |
# Upgrade pip to the latest version to avoid issues with outdated pip | |
RUN pip install --no-cache-dir --upgrade pip | |
# Copy the current directory contents into the container at $HOME/app setting the owner to the user | |
COPY --chown=user . $HOME/app | |
# Install dependencies | |
RUN pip install --no-cache-dir -r requirements.txt | |
# Download any necessary assets | |
RUN mkdir content | |
ADD --chown=user https://huggingface.co/datasets/manhteky123/LawVietnamese/resolve/main/data.csv content/data.csv | |
ADD --chown=user https://huggingface.co/datasets/manhteky123/LawVietnamese/resolve/main/faiss_index.bin content/faiss_index.bin | |
ADD --chown=user https://huggingface.co/datasets/manhteky123/LawVietnamese/resolve/main/vectors.npy content/vectors.npy | |
# Expose the port the app runs on | |
EXPOSE 5000 | |
# Define the command to run the application | |
CMD ["python", "app.py"] | |