# For more information, please refer to https://aka.ms/vscode-docker-python
#FROM python:3.10-slim

FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04

# Install Python and pip
RUN apt-get update && apt-get install -y python3-pip python3-venv

# Where we'll copy the code
WORKDIR /code

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

# Install pip requirements without venv
#RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# Create a virtual environment and install pip requirements
RUN python3 -m venv /code/venv
RUN /code/venv/bin/pip install --no-cache-dir --upgrade pip
RUN /code/venv/bin/pip install --no-cache-dir --upgrade -r /code/requirements.txt

# Set the PATH to include the virtual environment's bin directory
ENV PATH="/code/venv/bin:$PATH"

# Creates a non-root user with an explicit UID
# For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers
RUN useradd -m -u 1000 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

# During debugging, this entry point will be overridden. For more information, please refer to https://aka.ms/vscode-docker-python-debug
#CMD ["app:app", "--host", "0.0.0.0", "--port", "7860"]

# Expose port 7860
EXPOSE 7860
ENV GRADIO_SERVER_NAME="0.0.0.0"
CMD ["python", "app.py"]