Dockerfile

# # Use the official lightweight Python image.
# # https://hub.docker.com/_/python
# FROM python:3.7

# # Allow statements and log messages to immediately appear in the Knative logs
# ENV PYTHONUNBUFFERED True

# EXPOSE 8080

# # Copy local code to the container image.
# ENV APP_HOME /app
# WORKDIR $APP_HOME
# COPY . ./

# # Install production dependencies.
# RUN pip install -r requirements.txt

# # Run the web service on container startup. Here we use the gunicorn
# # webserver, with one worker process and 8 threads.
# # For environments with multiple CPU cores, increase the number of workers
# # to be equal to the cores available.
# # Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
# CMD streamlit run --server.port 8080 --server.enableCORS false app.py


FROM python:3.7

RUN pip install virtualenv
ENV VIRTUAL_ENV=/venv
RUN virtualenv venv -p python3
ENV PATH="VIRTUAL_ENV/bin:$PATH"

WORKDIR /app
ADD . /app

# Install dependencies
RUN pip install -r requirements.txt

# copying all files over
COPY . /app

# Expose port 
ENV PORT 8501

# cmd to launch app when container is run
CMD streamlit run app.py

# streamlit-specific commands for config
ENV LC_ALL=C.UTF-8
ENV LANG=C.UTF-8
RUN mkdir -p /root/.streamlit
RUN bash -c 'echo -e "\
[general]\n\
email = \"\"\n\
" > /root/.streamlit/credentials.toml'

RUN bash -c 'echo -e "\
[server]\n\
enableCORS = false\n\
" > /root/.streamlit/config.toml'