Tutorial / Example - Fine grained search of the Kubeflow youtube channel content

[jbottum]

The Kubeflow Community could use a current end-to-end example. Current examples: https://www.kubeflow.org/docs/started/kubeflow-examples/

We might be able to create an example that the Community members could use to find (short - 20 second) answers from Community discussions. For example, the Community holds Working Group meetings, which are recorded. If these meetings were saved on a Youtube channel, then we could create a fine grained search option that would find and serve answers to questions submitted to in a web form. Some search example might be: "multi-user pipelines", "unified training operator", or "upgrading Kubeflow".

An example of this solution is explained in this post: https://betterprogramming.pub/fixing-youtube-search-with-openais-whisper-90bb569073cf . It uses OpenAI's Whisper for transcoding and S-BERT for Question/Answer, with streamline or gradio for the webapp.

I am looking for interested parties to help develop this example. Related ideas - If we could get the example functional, we might be able to use it at conferences as a Kubeflow tutorial / workshop i.e. AI at KubeCon EMEA in 2023 and/or as an example for the Kubeflow 1.7 release.

@kubeflow/wg-notebooks-leads @kubeflow/wg-pipeline-leads @kubeflow/wg-training-leads @kubeflow/wg-automl-leads @kubeflow/release-managers

/kind feature
/priority p2
/area help wanted

[google-oss-prow]

@jbottum: The label(s) area/help, area/wanted cannot be applied, because the repository doesn't have them.

In response to this:

The Kubeflow Community could use a current end-to-end example. Current examples: https://www.kubeflow.org/docs/started/kubeflow-examples/

We might be able to create an example that the Community members could use to find (short - 20 second) answers from Community discussions. For example, the Community holds Working Group meetings, which are recorded. If these meetings were saved on a Youtube channel, then we could create a fine grained search option that would find and serve answers to questions submitted to in a web form. Some search example might be: "multi-user pipelines", "unified training operator", or "upgrading Kubeflow".

An example of this solution is explained in this post: https://betterprogramming.pub/fixing-youtube-search-with-openais-whisper-90bb569073cf . It uses OpenAI's Whisper for transcoding and S-BERT for Question/Answer, with streamline or gradio for the webapp.

I am looking for interested parties to help develop this example. Related ideas - If we could get the example functional, we might be able to use it at conferences as a Kubeflow tutorial / workshop i.e. AI at KubeCon EMEA in 2023 and/or as an example for the Kubeflow 1.7 release.

@kubeflow/wg-notebooks-leads @kubeflow/wg-pipeline-leads @kubeflow/wg-training-leads @kubeflow/wg-automl-leads @kubeflow/release-managers

/kind feature
/priority p2
/area help wanted

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[varodrig]

Sounds great! Looking for more comments from the community

cc @kubeflow/kubeflow-steering-committee @kubeflow/wg-training-leads @kubeflow/wg-pipeline-leads @kubeflow/wg-notebooks-leads @kubeflow/wg-manifests-leads @kubeflow/release-team @kubeflow/wg-data-leads @kubeflow/wg-deployment-leads

[varodrig]

/help

[google-oss-prow]

@varodrig:
This request has been marked as needing help from a contributor.

Please ensure the request meets the requirements listed here.

If this request no longer meets these requirements, the label can be removed
by commenting with the /remove-help command.

In response to this:

/help

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.