Model deployment code template cannot change namespace

[Tomcli]

Describe the bug Right now the model deployment code template is hard coded to the anonymous namespace, we need to make it configurable in order to work in the multi-user environment.

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2. Click on '....'
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4. See error

Expected behavior

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Environment

• OS: [e.g. iOS]
• Browser [e.g. chrome, safari]
• MLX Version [e.g. 22]

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[ckadner]

I will hard-code a quick fix (1c451fa) to use namespace "mlx" until I get a chance to add a new variable to the API

[ckadner]

@Tomcli -- QQ do we still need to use your custom kfserving component.yaml here?

https://github.com/machine-learning-exchange/mlx/blob/ef06fa28ffba1cdf22d6dfa4f81fb426f2fc7f0c/api/server/swagger_server/code_templates/serve_kfserving.TEMPLATE.py#L39

It differs only slightly from this one: https://raw.githubusercontent.com/kubeflow/pipelines/master/components/kubeflow/kfserving/component.yaml

[Tomcli]

@ckadner you can use the official one at https://raw.githubusercontent.com/kubeflow/pipelines/master/components/kubeflow/kfserving/component.yaml

just that some parameter mapping needs to be changed.