While making setup for Video search and summarization.there are certain dependence that are not resolved

when I’m trying to make setup for VSS (Video search and summarization ).I found an error .
I HAVE TAKEN SEVERAL STEPS THAT ARE MENTIONED BELOW
Step1:sudo microk8s kubectl create secret docker-registry ngc-docker-reg-secret --docker-server=nvcr.io --docker-username=‘$oauthtoken’ --docker-password=$NGC_API_KEY
#where i mentioned ngc_api_key
Step2:sudo microk8s kubectl create secret generic graph-db-creds-secret --from-literal=username=neo4j --from-literal=password=password

Create the neo4j db credentials secret

Create NGC Secret

Step3:-sudo microk8s kubectl create secret generic ngc-api-key-secret --from-literal=NGC_API_KEY=$NGC_API_KEY

I have system A4000 with 20 cpu and gpu memory 16376MiB alsoDriver Version: 535.183.01 and CUDA Version: 12.2 .
step-4:# Fetch the VSS Blueprint Helm Chart

sudo microk8s helm fetch https://helm.ngc.nvidia.com/nvidia/blueprint/charts/nvidia-blueprint-vss-2.1.0.tgz --username=‘$oauthtoken’ --password=$NGC_API_KEY

Install the Helm Chart

sudo microk8s helm install vss-blueprint nvidia-blueprint-vss-2.1.0.tgz --set global.ngcImagePullSecretName=ngc-docker-reg-secret
while running following command I am facing difficulty in this:
sudo microk8s kubectl get node

helm install vss-blueprint nvidia-blueprint-vss-2.1.0.tgz
–set global.ngcImagePullSecretName=ngc-docker-reg-secret
–set nemo-embedding.nodeSelector.“kubernetes.io/hostname”=“<Name of Node #2>”
–set nemo-rerank.nodeSelector.“kubernetes.io/hostname”=“<Name of Node #2>”…# where I mentioned node name but when i try to check status using this command sudo watch microk8s kubectl get pod
it showing sudo watch microk8s kubectl get pod
etcd-etcd-deployment 1/1 1 1 89s
milvus-milvus-deployment 0/1 1 0 89s
minio-minio-deployment 1/1 1 1 89s
nemo-embedding-embedding-deployment 0/1 1 0 89s
nemo-rerank-ranking-deployment 0/1 1 0 89s
neo4j-neo4j-deployment 0/1 1 0 89s
vss-vss-deployment 0/1 1 0 89s
I AM USING A4000 with 20 cpu and nvidia Driver Version: 535.183.01 CUDA Version: 12.2 and memory 16376MiB