
ai-on-openshift
AI-on-OpenShift website source code
Stars: 62

AI on OpenShift is a site providing installation recipes, patterns, and demos for AI/ML tools and applications used in Data Science and Data Engineering projects running on OpenShift. It serves as a comprehensive resource for developers looking to deploy AI solutions on the OpenShift platform.
README:
Source code for the AI on OpenShift site, using Material for MkDocs.
Rendered at https://ai-on-openshift.io/
The AI on OpenShift site aims at being a one-stop shop for installation recipes, patterns, demos for various AI/ML tools and applications used in Data Science and Data Engineering projects running on OpenShift.
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Prerequisites: Python >=3.7
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Install the
mkdocs-material
package from PyPI, either in your main Python environment or in a virtual environment:pip install mkdocs-material
. -
A Pipfile is also provided. To make use of it, you can execute:
pip install pipenv pipenv install pipenv shell
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From the root of the repo, launch
mkdocs serve
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The documentation will be accessible at http://127.0.0.1:8000
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All saved modifications are watched and rendered real time
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Once your environment is fully set up, you can also start the development environment by launching the
start-dev.sh
file.
Alternatively, you can also try serving the content using a container image.
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For example, using podman and an image from DockerHub
podman run --rm -it \ -p 8000:8000 \ -v ${PWD}:/docs \ squidfunk/mkdocs-material
- Create a branch (maintainers team) or fork the repo (other contributors)
- Develop locally as described above
- Submit a Pull Request to the
main
branch of the repo
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