Dockerfile

# Use the official Python 3.9 image
FROM python:3.9

# Set the working directory to /code
WORKDIR /code

# Copy the current directory contents into the container at /code
COPY ./requirements.txt /code/requirements.txt

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

# Install the required packages
RUN pip install datasets pytorch-transformers transformers[torch] accelerate>=0.21.0

#dont use multiple RUN commands that causes multiple layers which is not a good practice
# 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

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

CMD ["python3", "main.py"]