Flask-Dockerfile

# We will use python:3.9-bookworm as the base image for building the Flask container
FROM amd64/python:3.9-bookworm

# ENVVAR for the model
ENV MODEL_PATH=/app/models

# # ENVVAR to disable the TensorFlow optimizations for compatibility with the CPU
# ENV TF_ENABLE_ONEDNN_OPTS=0

# Specifies the working directory where the Docker container will run
WORKDIR /app

# Copying all the application files to the working directory
COPY API/ .
COPY requirements.txt .
COPY models models

# Install all the dependencies required to run the Flask application
RUN pip install --no-cache-dir -r requirements.txt

# Install dependency libGL for OpenCV
RUN apt-get update && apt-get install -y \
    libgl1-mesa-glx \
    && rm -rf /var/lib/apt/lists/*

# Expose the Docker container for the application to run on port 443 with ssl/HTTPS
EXPOSE 443

# The command required to run the Dockerized application
CMD ["python", "/app/app.py"]