Dockerfile-GPU

FROM  nvidia/cuda:11.0-runtime-ubuntu20.04

WORKDIR /home/user

RUN apt-get update && apt-get install -y software-properties-common && add-apt-repository ppa:deadsnakes/ppa
RUN apt-get update && apt-get install -y python3.7 python3.7-dev python3.7-distutils python3-pip curl wget git pkg-config cmake swig

ENV LC_ALL=C.UTF-8
ENV LANG=C.UTF-8

# Set default Python version
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.7 1
RUN update-alternatives --set python3 /usr/bin/python3.7

# Install PDF converter
RUN wget --no-check-certificate https://dl.xpdfreader.com/xpdf-tools-linux-4.03.tar.gz && \
tar -xvf xpdf-tools-linux-4.03.tar.gz && cp xpdf-tools-linux-4.03/bin64/pdftotext /usr/local/bin

RUN apt-get install libpoppler-cpp-dev pkg-config -y --fix-missing
RUN apt-get install tesseract-ocr libtesseract-dev poppler-utils -y

# copy code
COPY haystack /home/user/haystack

# install as a package
COPY setup.py requirements.txt README.md /home/user/
RUN pip3 install numpy scipy Cython

# Install PyTorch for CUDA 11
RUN pip3 install torch==1.7.1+cu110 -f https://download.pytorch.org/whl/torch_stable.html
# Install faiss separately as building latest versions can cause trouble with swig
RUN pip3 install faiss-cpu==1.6.3

RUN pip3 install -r requirements.txt
RUN pip3 install -e .

# copy saved models
COPY README.md models* /home/user/models/

# Copy REST API code
COPY rest_api /home/user/rest_api

# optional : copy sqlite db if needed for testing
#COPY qa.db /home/user/

# optional: copy data directory containing docs for ingestion
#COPY data /home/user/data

EXPOSE 8000

# cmd for running the API (note: "--preload" is not working with cuda)
CMD ["gunicorn", "rest_api.application:app",  "-b", "0.0.0.0", "-k", "uvicorn.workers.UvicornWorker", "--workers", "1", "--timeout", "180"]