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2b70b27 verified over 2 years ago

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# Use the official Python image as a base
FROM python:3.9.13

# Set environment variables
ENV HOME=/home/user
ENV PATH=$HOME/.local/bin:$PATH

# Create a non-root user and set ownership for HOME directory
RUN useradd -m -u 1000 user
RUN chown -R user:user $HOME

# Set the working directory
WORKDIR $HOME/app

# Clone the shap-e repository from GitHub (optional based on your needs)
RUN git clone https://github.com/openai/shap-e .

# Copy the local app files into the container
COPY --chown=user . .

# Create a requirements.txt file with specified dependencies
RUN echo "-e ." > requirements.txt \
    && echo "flask" >> requirements.txt \
    && echo "flask_cors" >> requirements.txt \
    && echo "PyYAML" >> requirements.txt \
    && echo "ipywidgets" >> requirements.txt \
    && echo "gunicorn" >> requirements.txt

# Create a directory for model cache with appropriate permissions
RUN mkdir -p $HOME/app/shap_e_model_cache
RUN chown -R user:user $HOME/app/shap_e_model_cache

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Set Numba cache directory (optional)
ENV NUMBA_CACHE_DIR=/tmp/numba_cache

# Default command to run the application
CMD ["gunicorn", "-b", "0.0.0.0:7860", "app:app"]

	# Use the official Python image as a base
	FROM python:3.9.13

	# Set environment variables
	ENV HOME=/home/user
	ENV PATH=$HOME/.local/bin:$PATH

	# Create a non-root user and set ownership for HOME directory
	RUN useradd -m -u 1000 user
	RUN chown -R user:user $HOME

	# Set the working directory
	WORKDIR $HOME/app

	# Clone the shap-e repository from GitHub (optional based on your needs)
	RUN git clone https://github.com/openai/shap-e .

	# Copy the local app files into the container
	COPY --chown=user . .

	# Create a requirements.txt file with specified dependencies
	RUN echo "-e ." > requirements.txt \
	&& echo "flask" >> requirements.txt \
	&& echo "flask_cors" >> requirements.txt \
	&& echo "PyYAML" >> requirements.txt \
	&& echo "ipywidgets" >> requirements.txt \
	&& echo "gunicorn" >> requirements.txt

	# Create a directory for model cache with appropriate permissions
	RUN mkdir -p $HOME/app/shap_e_model_cache
	RUN chown -R user:user $HOME/app/shap_e_model_cache

	# Install Python dependencies
	RUN pip install --no-cache-dir -r requirements.txt

	# Set Numba cache directory (optional)
	ENV NUMBA_CACHE_DIR=/tmp/numba_cache

	# Default command to run the application
	CMD ["gunicorn", "-b", "0.0.0.0:7860", "app:app"]