Copy PR template from ai-platform-samples (#5)

* Copy Cloudbuild and GithubActions setup from ai-platform-samples for notebook testing (#1)

* copy github actions

* copy Cloud Build

* add Dockerfile for cloud build

* add notebook test_folders.txt to .cloud-build and update the file path

* copy PR teamplate from ai-platform-samples

.cloud-build/test_folders.txt

@@ -1,3 +1,3 @@
 notebooks/official
 tutorials/official
-notebooks/notebook_template.ipynb
+notebooks/notebook_template.ipynb

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,6 +1,9 @@
-Fixes #<issue_number_goes_here>
+Before submitting a Jupyter notebook, follow this mandatory checklist:
 
-> It's a good idea to open an issue first for discussion.
-
-- [ ] Tests pass
-- [ ] Appropriate changes to README are included in PR
+- [ ] Use the [notebook template](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/master/notebooks/notebook_template.ipynb) as a starting point.
+- [ ] Follow the style and grammar rules outlined in the above notebook template.
+- [ ] Verify the notebook runs successfully in Colab since the automated tests cannot guarantee this even when it passes.
+- [ ] Passes all the required automated checks
+- [ ] You have consulted with a tech writer to see if tech writer review is necessary. If so, the notebook has been reviewed by a tech writer, and they have approved it.
+- [ ] This notebook has been added to the CODEOWNERS file, pointing to the author or the author's team. If the CODEOWNERS file doesn't exist, create one in the nearest folder that makes sense.
+- [ ] The Jupyter notebook cleans up any artifacts it has created (datasets, ML models, endpoints, etc) so as not to eat up unnecessary resources.