Dockerfile.gpu

## Dockerfile to build DeepQ&A container image

FROM nvidia/cuda:8.0-cudnn5-devel

## Dependencies

RUN \
  apt-get -qq -y update && apt-get -y install unzip python3 python3-pip

RUN  \
  pip3 install -U nltk \
  tqdm \
  django \
  asgi_redis \
  channels && \
  python3 -m nltk.downloader punkt

## Tensorflow
ARG TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0-cp34-cp34m-linux_x86_64.whl
RUN \
  pip3 install -U $TF_BINARY_URL

COPY ./ /root/DeepQA

## Run Config

# You should generate your own key if you want deploy it on a server
ENV CHATBOT_SECRET_KEY="e#0y6^6mg37y9^+t^p_$xwnogcdh=27)f6_=v^$bh9p0ihd-%v"
ENV CHATBOT_REDIS_URL="redis"
EXPOSE 8000

WORKDIR /root/DeepQA/chatbot_website
RUN python3 manage.py makemigrations
RUN python3 manage.py migrate

# Launch the server
CMD python3 manage.py runserver 0.0.0.0:8000