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# See here for image contents: https://github.com/microsoft/vscode-dev-containers/tree/v0.245.0/containers/python-3/.devcontainer/base.Dockerfile
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# [Choice] Python version (use -bullseye variants on local arm64/Apple Silicon): 3, 3.10, 3.9, 3.8, 3.7, 3.6, 3-bullseye, 3.10-bullseye, 3.9-bullseye, 3.8-bullseye, 3.7-bullseye, 3.6-bullseye, 3-buster, 3.10-buster, 3.9-buster, 3.8-buster, 3.7-buster, 3.6-buster
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FROM tensorflow/tensorflow:2.9.1-gpu
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RUN apt-get install libopenexr-dev -y
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RUN pip install tensorflow-mri
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RUN pip install tqdm
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RUN pip install h5py
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RUN pip install tensorflow-addons
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# RUN pip install sklearn
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RUN pip install scikit-image
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RUN pip install jupyter
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RUN pip install typing_extensions --upgrade
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#RUN pip install neptune
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#RUN pip install neptune-tensorflow-keras
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RUN pip install utils
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RUN pip install matplotlib
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RUN pip install --upgrade pip
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#RUN pip install -U torch-tb-profiler
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RUN pip install opencv-python
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#RUN pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html
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RUN pip install gdown==2.3.1
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RUN pip install pydicom
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RUN pip install scikit-learn
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RUN pip install tabulate
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RUN pip install pingouin
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RUN pip install streamlit
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RUN pip install openpyxl
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RUN pip install "protobuf<=3.20.3"
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RUN apt-get update && \
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apt-get install -y ffmpeg
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RUN pip install
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RUN pip install
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# App
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WORKDIR /app
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COPY . /app
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# Streamlit settings (optional)
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ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false \
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PYTHONUNBUFFERED=1
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EXPOSE 8501
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# Start the app
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CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]
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ENV PORT=7860 \
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STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION=false \
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STREAMLIT_SERVER_ENABLE_CORS=false \
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STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
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EXPOSE 7860
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CMD ["bash","-lc","streamlit run app.py --server.address=0.0.0.0 --server.port=$PORT"]
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FROM tensorflow/tensorflow:2.9.1-gpu
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# --- your apt/pip installs here ---
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RUN apt-get update && \
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apt-get install -y --no-install-recommends libopenexr-dev ffmpeg && \
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rm -rf /var/lib/apt/lists/*
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RUN pip install --upgrade pip
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RUN pip install tensorflow-mri tqdm h5py tensorflow-addons scikit-image jupyter \
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typing_extensions utils matplotlib opencv-python gdown==2.3.1 pydicom \
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scikit-learn tabulate pingouin streamlit openpyxl "protobuf<=3.20.3" \
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ffmpeg-python gputil
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# --- make sure Streamlit doesn’t block uploads ---
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ENV STREAMLIT_SERVER_ENABLE_XSRF_PROTECTION=false \
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STREAMLIT_SERVER_ENABLE_CORS=false \
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STREAMLIT_BROWSER_GATHER_USAGE_STATS=false \
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PORT=7860
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WORKDIR /app
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COPY . /app
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EXPOSE 7860
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CMD ["bash","-lc","streamlit run app.py --server.address=0.0.0.0 --server.port=$PORT"]
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