Merging the first draft of the Kserve template

[mholder6]

Description of your changes:
This PR introduces a Kubeflow Pipelines (KFP) template for deploying a model to KServe on OpenShift AI. The template automates the model deployment process by leveraging OpenShift AI’s Data Science Pipelines, ensuring seamless integration with KServe, Authorino, OpenShift Service Mesh, and OpenShift Serverless.

Key Features:

Provides a ready-to-use pipeline template for deploying models via KServe.
Automates the creation of InferenceService and AuthConfig resources.
Uses Kustomize to configure and deploy necessary Kubernetes resources.
Supports integration with Authorino for authentication.
Allows parameterization for model selection and configuration.

How to Use:

Deploy the necessary manifests using Kustomize.
Install required Python dependencies.
Compile the pipeline using kfp dsl compile.
Upload and execute the pipeline in OpenShift AI.
Verify the model deployment by checking the running pods and InferenceService.

[google-oss-prow]

Hi @mholder6. Thanks for your PR.

I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

Once the patch is verified, the new status will be reflected by the ok-to-test label.

I understand the commands that are listed here.

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

[google-oss-prow]

[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by:
Once this PR has been reviewed and has the lgtm label, please assign neuromage for approval. For more information see the Kubernetes Code Review Process.

The full list of commands accepted by this bot can be found here.

Needs approval from an approver in each of these files:

• components/OWNERS

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment

[terrytangyuan]

This should ideally replace the existing https://github.com/kubeflow/pipelines/tree/master/components/kserve

cc @hbelmiro to provide some guidance here

[hbelmiro]

/hold