Cyberlaywer/build/tfgpu-cyberlaywer/Dockerfile

FROM tensorflow/tensorflow:2.3.0-gpu

# why 2.3 ? I looked it up on stack overflow
# https://stackoverflow.com/questions/50622525/which-tensorflow-and-cuda-version-combinations-are-compatible
# here is a nice list, which tf version is compatible with which cuda
# from the cmmand docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi
# you get your installed cuda version running

RUN useradd -ms /bin/bash pluritonian

COPY Translations.txt /home/pluritonian/Translations.txt

COPY test_runwithgen.py /home/pluritonian/test_runwithgen.py
COPY test_runwithload.py /home/pluritonian/test_runwithload.py
COPY generateModels.py /home/pluritonian/generateModels.py

COPY req.js /home/pluritonian/req.js

COPY postcommand /home/pluritonian/postcommand

COPY EndDokumente /home/pluritonian/EndDokumente

COPY german.model.big /home/pluritonian/german.model.big

COPY updateDatabase.py /home/pluritonian/updateDatabase.py

COPY txtFilesInDir2PythonListInTxtFile.py /home/pluritonian/txtFilesInDir2PythonListInTxtFile.py
COPY pythonlistInTxtFile2NoStopwords.py /home/pluritonian/pythonlistInTxtFile2NoStopwords.py
COPY pythonlistInTxtFile2lowercase.py /home/pluritonian/pythonlistInTxtFile2lowercase.py
COPY pythonlistInTxtFile2wordClouds.py /home/pluritonian/pythonlistInTxtFile2wordClouds.py

COPY FASTsearch.py /home/pluritonian/FASTsearch.py

COPY fastapi_server.py /home/pluritonian/fastapi_server.py

#USER pluritonian

WORKDIR /home/pluritonian

RUN apt-get update && apt-get install nano

RUN pip install joblib scikit-learn hickle==3.4.9 fastapi uvicorn[standard]

RUN pip install idna==2.9 python-multipart==0.0.5

RUN pip install nltk gensim

RUN python generateModels.py

# to let the container running:

CMD uvicorn --host 0.0.0.0 fastapi_server:app

#ENTRYPOINT ["tail"]
#CMD ["-f","/dev/null"]