Added Tensorflow
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captainVersion: 4
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services:
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$$cap_appname:
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restart: always
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environment:
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JUPYTER_ENABLE_LAB: $$cap_jupyterlab
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RESTARTABLE: yes
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volumes:
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- $$cap_appname:/home/jovyan/
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caproverExtra:
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containerHttpPort: '8888'
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dockerfileLines:
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- FROM jupyter/tensorflow-notebook:36d857bb0121
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- RUN pip install lxml
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- RUN jupyter notebook --generate-config -y
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- RUN echo 'c.NotebookApp.token = "$$cap_jupyter_default_token"' >> /home/jovyan/.jupyter/jupyter_notebook_config.py
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- EXPOSE 8888
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caproverOneClickApp:
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variables:
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- id: $$cap_jupyter_default_token
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label: Jupyter default token
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description: The default login token allows you to set a password within the application. For better experience leave empty and enable basic auth within the CaprRover dashboard.
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- id: $$cap_jupyterlab
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label: Jupyter Lab
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defaultValue: yes
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description: Select "Yes" to enable JupyterLab and "No" otherwise
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instructions:
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start: JupyterLab is the next-generation user interface for Project Jupyter.
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end: >-
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JupyterLab server is deployed and is available as $$cap_appname.
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IMPORTANT: Make sure to enable websocket capability in the app config on CapRover dashboard!
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displayName: Jupyter Tensorflow
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isOfficial: true
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description: Jupyter Notebook with built in Tensorflow and Keras for your data analysis and machine learning work
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documentation: 'Read more at: https://jupyter-docker-stacks.readthedocs.io/'
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