Medical_GPT / Dockerfile
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# Use the official Python base image
FROM python:3.9
# Set the working directory in the container
WORKDIR /app
# Copy the requirements.txt file and install the Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r 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
# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app
# Expose the port on which the Flask application will run
EXPOSE 5000
# Set the environment variable for Flask
ENV FLASK_APP=api_server.py
# Run the Flask application
CMD ["flask", "run", "--host=0.0.0.0"]
# FROM python:3.9
# RUN useradd -m -u 1000 user
# WORKDIR /app
# COPY --chown=user ./requirements.txt requirements.txt
# RUN pip install --no-cache-dir --upgrade -r requirements.txt
# COPY --chown=user . /app
# EXPOSE 5000
# CMD ["gunicorn", "--bind", "0.0.0.0:5000", "wsgi:app", "--workers=1"]
# # CMD [ "python3", "-m" , "flask", "run", "--host=0.0.0.0"]
# # CMD ["gunicorn", "--host", "0.0.0.0:7860", "main:app"]