Dockerfile

FROM nvidia/cuda:12.0.0-cudnn8-devel-ubuntu22.04

# Using the Ubuntu image (our OS)
# Update package manager (apt-get) 
# and install (with the yes flag `-y`)
# Python and Pip
RUN apt-get update && apt-get install -y \
    python3-pip \
    unzip


WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user

# 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

# Download and uzip truepic-sign from Google Drive
RUN pip install gdown
RUN --mount=type=secret,id=truepic_sign_gdoc_id,mode=0444,required=true \
    gdown --id $(cat /run/secrets/truepic_sign_gdoc_id)
RUN unzip truepic-lens-cli-51f4cfbc6472a2205e53d726713619ca8df5340b-ubuntu-20.04.zip
RUN tar -xf truepic-lens-cli-51f4cfbc6472a2205e53d726713619ca8df5340b-ubuntu-20.04.tar.gz

RUN chmod +x truepic

RUN --mount=type=secret,id=api_key,mode=0444,required=true \
 ./truepic enroll file-system --api-key $(cat /run/secrets/api_key)

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

WORKDIR $HOME/app

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]