Dockerfile

# This container expects a MongoDB server running on `localhost:27017`
# Start it with: `docker-compose --file docker-mongodb.yml up -d`

# Using official Python runtime as a parent image
FROM python:3.12-slim

# Upgrade pip, wheel, and setuptools to the latest version without using cache
RUN pip install --no-cache-dir --upgrade pip wheel setuptools

# Install PyTorch packages from a specific index URL without cache
RUN pip install --no-cache-dir torch==2.4.0+cpu --index-url https://download.pytorch.org/whl/cpu

# Set the working directory in the container
WORKDIR /app

# Copy the setup files and install the Python packages
COPY setup.py setup.cfg /app/
RUN pip install --no-cache-dir  .

# Copy the rest of the application code into the container
COPY . /app

# Expose the port that Streamlit will run on
EXPOSE 8501

# Test a container to check that it is still working
# - it needs to listen to Streamlit’s (default) port 8501:
HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health || exit 1

# Set an environment variable to indicate the script is running inside a Docker container
ENV RUNNING_IN_DOCKER=1

ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]

# ---

# Copy the wait-for-it.sh script to a directory in the PATH
# COPY wait-for-it.sh /usr/local/bin/wait-for-it.sh

# Ensure the script is executable
# RUN chmod +x /usr/local/bin/wait-for-it.sh

# The script `wait-for-it.sh` waits until the MongoDB server is available before starting the  Streamlit app
# ENTRYPOINT ["wait-for-it.sh", "localhost", "27017", "--", "streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]