# Use the official Python image as a base
FROM python:3.11.7-slim


COPY requirements.txt .

# Set the working directory
WORKDIR /app

## Copy the environment file

COPY requirements.txt /app
# Create the conda environment
#RUN conda env create -f environment.yml && \
#    conda clean -afy

# Set the environment path
#ENV PATH /opt/conda/envs/maxi_env/bin:$PATH


# Activate the conda environment
#SHELL ["conda", "run", "-n", "maxi_env", "/bin/bash", "-c"]

RUN apt-get update && apt-get install -y gcc && \
    pip install -r /app/requirements.txt


# https://github.com/gradio-app/gradio/issues/3693#issuecomment-1745577523
#!mkdir -m 700 flagged

# Copy the current directory contents into the container at /app
COPY . /app
#ADD learner.pkl /app/learner.pkl
#ADD predictor.pkl /app/predictor.pkl
#COPY models /app/models
#COPY utils /app/utils
#ADD metadata.json /app/metadata.json

#COPY . .

COPY .streamlit /app


#ENV PATH="/usr/bin/python3:${PATH}"

EXPOSE 7070

# Specify the command to run on container start
#CMD ["streamlit", "run", "ChatDoctor.py"]
#CMD ["/bin/bash"] 

# Interact with your docker image
#docker run --rm -it you-docker-image bash
ENTRYPOINT [ "streamlit", "run" ]
CMD [ "ChatDoctor.py", "--server.headless", "true", "--server.fileWatcherType", "none", "--browser.gatherUsageStats", "false"]