* Follow argocd instructions
https://github.com/argoproj/argo-cd/blob/master/docs/getting_started.md
to install ArgoCD on the cluster
* Down the argocd manifest and update the namespace to argocd.
* Check it in so ArgoCD can be deployed declaratively.
* Update README.md with the instructions for deploying ArgoCD.
Move the web app components into their own ksonnet app.
* We do this because we want to be able to sync the web app components using
Argo CD
* ArgoCD doesn't allow us to apply autosync with granularity less than the
app. We don't want to sync any of the components except the servers.
* Rename the t2t-code-search-serving component to query-embed-server because
this is more descriptive.
* Check in a YAML spec defining the ksonnet application for the web UI.
Update the instructions in nodebook code-search.ipynb
* Provided updated instructions for deploying the web app due the
fact that the web app is now a separate component.
* Improve code-search.ipynb
* Use gcloud to get sensible defaults for parameters like the project.
* Provide more information about what the variables mean.
* Replace double quotes for field values (ks convention)
* Recreate the ksonnet application from scratch
* Fix pip commands to find requirements and redo installation, fix ks param set
* Use sed replace instead of ks param set.
* Add cells to first show JobSpec and then apply
* Upgrade T2T, fix conflicting problem types
* Update docker images
* Reduce to 200k samples for vocab
* Use Jupyter notebook service account
* Add illustrative gsutil commands to show output files, specify index files glob explicitly
* List files after index creation step
* Use the model in current repository and not upstream t2t
* Update Docker images
* Expose TF Serving Rest API at 9001
* Spawn terminal from the notebooks ui, no need to go to lab
* Cherry pick changes to PredictionDoFn
* Disable lint checks for cherry picked file
* Update TODO and notebook install instructions
* Restore CUSTOM_COMMANDS todo
* Add a Jupyter notebook to be used for Kubeflow codelabs
* Add help command for create_function_embeddings module
* Update README to point to Jupyter Notebook
* Add prerequisites to readme
* Update README and getting started with notebook guide
* [wip]
* Update noebook with BigQuery previews
* Update notebook to automatically select the latest MODEL_VERSION
Jeremy Lewi
Yang Pan
Sanyam Kapoor