* Azure ML component to deploy model
* Adding more instructions for image repo name
* Add readme.md for pipeline deployment component
* Adding detailed instruction on model inference and docker image
* adding output for model deployment component
* merge run command and copy the entire folder
* Setting subscription after az login
* edit component yaml to search for command in src
* Add deployment config for aks
* Parsing the json and provide endpoint as the output
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