Dockerfile

# Dockerfile for the Face Detection Service

# Use an official Python runtime as a parent image
FROM continuumio/miniconda3

# Set the working directory to /app
WORKDIR /app

# Update Linux package lists
RUN apt-get update

# Install build tools (gcc etc.)
RUN apt-get install -y build-essential


# Install ops tools
RUN apt-get install -y procps vim


# Install any needed packages specified in requirements.txt
RUN conda install -c anaconda pyyaml 
RUN conda install -c conda-forge scipy
RUN conda install -c conda-forge numpy
RUN conda install scikit-learn==0.21.3
RUN conda install -c conda-forge gevent
RUN conda install -c conda-forge gunicorn>=19.0
RUN conda install -c conda-forge falcon>=2.0


# Copy the current directory contents into the container at /app
COPY . /app
RUN pwd

# Make port 80 available to the world outside this container
EXPOSE 80

# Define environment variable
ENV PYTHONUNBUFFERED TRUE
ENV FACE_DETECTION_CONFIG /app/service.yaml
ENV NUM_WORKER 1

# Run Gunicorn when the container launches
CMD ["sh", "-c", "gunicorn --workers ${NUM_WORKER} --worker-class gevent --bind 0.0.0.0:80 main:app"]