-
Register your Github account
-
Fork this repository and remember the link of forked application
-
Create application of
Liberty for Java
onBluemix
-
Connect
Liberty for Java
withWatson Conversation
,Speech to Text
andText to Speech
services -
Click on
Conversation
from theConnections
tab and click onLaunch tool
to open the website of IBM Watson Conversation, then click onLogin with IBM ID
to signin -
Click on
Upload
icon to upload the training file, to locate the training file, go to/Chatbot-docker/trainings/conversation
folder, findinnovation-day.json
file -
There will be one more panel named
iChat
-
Register your Github account
-
Go to
Overview
of theLiberty for Java
application, findContinuous Delivery
panel, and click onEnable
button -
Click on
Create Toolchain from Template
for the first time you enable the Toolchains, and click onSimple Cloud Foundry toolchain
-
Click on
GitHub
button to Authorize the access to theGitHub
, then you'll be navigated toGitHub
website -
On the
GitHub
, click onAuthorize application
button to grant the access from Bluemix DevOps service -
Type
Github
password to confirm the operation -
After authorization, select
Existing
as Repository type, and forkedGithub URL
as Source repository URL, then click onCreate
button -
Verify configurations to ensure the Pipeline deploys on right runtime with the correct application name
-
On this step, switch back to Watson Conversation website, copy
Workspace ID
from the createdWorkspace
by clicking on the menu on the top right of theWorkspace panel
, then click onView details
and copy theWorkspace ID
-
Switch back to
DevOps service
and click onEclipse Orion Web IDE
, and selectmanifest.yml
for editing. Changename
to your app name then updateCONVERSATION_WORKSPACE_ID
to copiedWorkspace ID
-
Click
File
menu and selectSave
-
Click on
Git
tab on the left, add commit comments and click onCommit
button, after that click onPush
button to update changes on theGitHub
-
Go back to toolchain then click on
Delivery Pipeline
, if it does not automatically start, clickRun Stage
icon and wait for the build and deployment process
Start chatting using text or microphone with your personal Chatbot and Enjoy!