* Fix the content in the bad word filter knative function code
* Remove the unused import
* Adding the action for the button in the front end, so that the new review comment can be delivered to the review service.
* enable cors
* Install cors
* fix: configure node.js so that it won't be restricted by CORS policy
* fix: add hardcoded the address for the review service
* feat: the yaml files to run the front end in the k8s cluster
* fix: fix the wrong command in the docker file
* fix: change the naming convention
* fix: update knative slack sink to use the value from secret
* fix: change the name for the front end application package
* fix: update the event type for the outputs of the ML workflows
* fix: create the sequence and trigger for the ML workflow
* fix: change the input key to reviewText
* fix: change the event type for the input cloudevent
* fix: set up the trigger that will filter out the bad comment and send them to the event display
* feat: add the loading state for the front end
* feat: expose the postgresql service as headless service, so we can use the statefulset's name as the host url
* fix: format fix, and also make sure the sentiment analysis result is all lower case
* feat: update to use websocket for the comment area
* feat: add Kuack to the bookstore as advised by UX WG
* feat: add kuack to the bookstore
* feat: add the new timing format and also set up the status badge
* feat: make sure all the ML output are lower case
* feat: styling change
* feat: add the database insertion logic
* fix: update to use kafka broker
* feat: add the quickstart setup script
* fix: use deployment instead of knative service
* fix: Send the reply as cloud event back to broker
* fix: Go back to use MT broker
* fix: Restructure the code
* fix: Restructure the code
* Save progress: TODO: will confirm whether use the pre-built images or build the images locally
* fix: change the naming of the files
* fix: cut the pulling rate of the websocket
* fix: front end clean up and change the error message
* fix: change the port to 8080
* fix: fix the setup script
* fix: update the front end port to use 80 as the nodeserver, as trigger default to use 80, instead of 8080.
* fix: trigger default to use 80, and cannot use customized port 8080.
* fix: renaming and use the pre-built image
* fix: update the naming and add comments to the yaml
* feat: move the code to solution folder
* feat: add the start folder
* fix: the deployment file is not in the /start folder
* fix: shorten the bad word filter name
* fix: shorten the bad word filter name
* fix: delete the deployment files for ML workflows
* fix: add the port 8080
* fix: use Service instead of deployment when setting up temp trigger
* fix: add the missing deployment yaml for /start
* fix: add the shortcut script in the /start folder
* fix: change the favicon to kuack to improve the reader's experience
Leo Li