Dockerfile

# FROM ubuntu:22.04

# # Set the timezone of the container
# ENV CONTAINER_TIMEZONE=UTC
# RUN ln -snf /usr/share/zoneinfo/$CONTAINER_TIMEZONE /etc/localtime && echo $CONTAINER_TIMEZONE > /etc/timezone

# # Create directory for the application
# RUN mkdir -p /home/recognito_id

# # Set the working directory
# WORKDIR /home/recognito_id

# # Copy the application files into the container
# COPY . .

# ADD https://huggingface.co/recognito/ID-Document-Liveness-Detection-Models/resolve/main/model.zip .

# # Make the scripts executable
# RUN chmod +x install.sh run_demo.sh

# # Run the install.sh script to perform any installation tasks
# RUN apt-get update && apt-get install -y sudo unzip
# RUN unzip ./model.zip -d ./id_live/engine/ && rm ./model.zip
# RUN ./install.sh

# RUN chmod -R 777 .

# # Expose port 8000(flask), 7860(gradio)
# EXPOSE 8000 7860

# # Set the default command to run the application
# ENTRYPOINT ["./run_demo.sh"]

FROM ubuntu:22.04
RUN ln -snf /usr/share/zoneinfo/$CONTAINER_TIMEZONE /etc/localtime && echo $CONTAINER_TIMEZONE > /etc/timezone
RUN apt-get update && \
    apt-get install -y binutils python3 python3-pip python3-opencv && \
    rm -rf /var/lib/apt/lists/*

RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"

WORKDIR /app
COPY --chown=user . .
COPY --chown=user ./id_live/dependency/* /usr/lib

ADD https://huggingface.co/recognito/ID-Document-Liveness-Detection-Models/resolve/main/model.tar.xz .
RUN tar -xvJf ./model.tar.xz -C ./id_live/engine/ && rm ./model.tar.xz
RUN chmod -R 777 .

RUN pip3 install gradio opencv-python numpy

EXPOSE 9000 7860

ENTRYPOINT ["./run_demo.sh"]