Installation using helm following readme is giving errors

[kodefoundry]

I am trying to deploy local-ai using helm charts as mentioned in the Readme.md on a rke2 cluster running kubernetes 1.27 version

Initially I faced this error

helm install local-ai go-skynet/local-ai -f values.yaml
coalesce.go:286: warning: cannot overwrite table with non table for local-ai.deployment.image (map[repository:quay.io/go-skynet/local-ai tag:latest])
Error: INSTALLATION FAILED: template: local-ai/templates/deployment.yaml:234:28: executing "local-ai/templates/deployment.yaml" at <.Values.deployment.image.repository>: can't evaluate field repository in type interface {}

I changed the below in values.yaml provided in Readme.md and looks like installation moved on from this error
Changed

deployment:
  image:
    repository: quay.io/go-skynet/local-ai
    tag: latest

Original

deployment:
  image: quay.io/go-skynet/local-ai:latest

then I deleted the charts and ensured there is nothing leftover from previous failed installation before attempting installation again using the same helm install as above. Now I am seeing a new error that I am kind of clueless

helm install local-ai go-skynet/local-ai -f values1.yaml
Error: INSTALLATION FAILED: 2 errors occurred:
        * PersistentVolumeClaim "local-ai-models" is invalid: spec.storageClassName: Invalid value: "hostPath": a lowercase RFC 1123 subdomain must consist of lower case alphanumeric characters, '-' or '.', and must start and end with an alphanumeric character (e.g. 'example.com', regex used for validation is '[a-z0-9]([-a-z0-9]*[a-z0-9])?(\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*')
        * PersistentVolumeClaim "local-ai-output" is invalid: spec.storageClassName: Invalid value: "hostPath": a lowercase RFC 1123 subdomain must consist of lower case alphanumeric characters, '-' or '.', and must start and end with an alphanumeric character (e.g. 'example.com', regex used for validation is '[a-z0-9]([-a-z0-9]*[a-z0-9])?(\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*')

[6yteforge]

I was able to deploy using this chart successfully after making the below changes in the values.yaml file from the example values.yaml shared in Readme.md file here

changed lno 43 & 50
storageClass: hostPath -> storageClass: host-path

I have tried this in Kubernetes version 1.27.

[6yteforge]

I think this issue can be closed if we can update the Readme.md as described above.
The only risk I see is older k8s versions where this might have worked.

[qingfenghcy]

Hello, did you successfully deploy the gpu version of localai on the k8s cluster? I can run the cpu version normally, but I am having some problems using the gpu image.(mudler/LocalAI#1798)

[kodefoundry]

I have not specifically tried anything different other than following the readme.md. I assume that one is a CPU version. Which I was able to deploy after I did the above changes.
I can give the GPU version a try, if you let me know which specific image to be used. Alternatively if you can share the steps you tried I can give it a try.
PS- 6yteforge is me only :)