Build your own chatbot on the Innovation Day

Watson: Conversation Watson: Speech-to-Text Watson: Text-to-Speech GitHub license

• Register your Bluemix account

• Register your Github account

• Forked the IoTCar repository https://github.com/ChristiaL/IOTCar and deployed the node.js application

• Fork this repository and remember the link of forked application

  Fork GitHub forked result

• Create application of Liberty for Java on Bluemix

  Create application Liberty For Java Liberty for Java

• Connect Liberty for Java with Watson Conversation, Speech to Text and Text to Speech services

  Connect services Watson Conversation Watson Conversation Cancel Restage Connect new Speech to Text Speech to Text Cancel Restage Connect new Text to Speech Text to Speech Cancel Restage Connected services

• Click on Conversation from the Connections tab and click on Launch tool to open the website of IBM Watson Conversation, then click on Login with IBM ID to signin

  Conversation launch tool Sign in conversation

• Setup a Workspace of Watson Conversation and define dialogs (We will do it together on the Innovation Day)

• Register your Github account

• Fork this repository and https://github.com/ChristiaL/IOTCar and deploy the nodejs web application

• Go to Overview of the Liberty for Java application, find Continuous Delivery panel, and click on Enable button

  Enable Continous Delivery Getting started Enable toolchains

• Click on Create Toolchain from Template for the first time you enable the Toolchains, and click on Simple Cloud Foundry toolchain

  Toolchains are enabled Choose Toolchain Toolchain template

• Click on GitHub button to Authorize the access to the GitHub, then you'll be navigated to GitHub website

  Authorize GitHub

• On the GitHub, click on Authorize application button to grant the access from Bluemix DevOps service

  GitHub - Authroizing

• Type Github password to confirm the operation

  GitHub - Authorizing

• After authorization, select Existing as Repository type, and forked Github URL as Source repository URL, then click on Create button

  Create Toolchain Checking

• Verify configurations to ensure the Pipeline deploys on right runtime with the correct application name

  Verify Pipeline Configuration Verify Pipeline Configuration Verify Pipeline Configuration

• On this step, assuming you have already created one Watson Conversation, so switch back to Watson Conversation website, copy Workspace ID from the created Workspace by clicking on the menu on the top right of the Workspace panel, then click on View details and copy the Workspace ID

  Conversation Workplace Conversation Workplace ID

• Switch back to DevOps service and click on Eclipse Orion Web IDE, and select manifest.yml for editing. Change name to your app name then update CONVERSATION_WORKSPACE_ID to copied Workspace ID

  Edit manifest.yml

• Click File menu and select Save

  Save yml file

• Click on Git tab on the left, add commit comments and click on Commit button, after that click on Push button to update changes on the GitHub

  GitHub menu GitHub commit GitHub push

• Go back to toolchain then click on Delivery Pipeline, if it does not automatically start, click Run Stage icon and wait for the build and deployment process

  Pipeline interface Pipeline interface pipeline deployed

Start chatting using text or microphone with your personal Chatbot and Enjoy!

Installation

• Install Bluemix and CF CLI
• Install Eclipse Java EE IDE for Web Developers as your IDE (Download)
• Install latest JavaEE SDK or JavaSE SDK
• Install Tomcat 9 and add it into Eclipse as a new Server

Run Chatbot application locally

• Run git command or download the source code here

	git clone git@github.com:CognitiveBuild/Chatbot.git

• Import Chatbot into your Eclipse workspace
• Add credentials into the file: /Chatbot/src/com/ibm/cto/Consts.java

	/**
	 * TODO: If you're testing this application locally, please get the credentials from Bluemix
	 */
	public String TEXT_TO_SPEECH_USERNAME = "9a5bfa13-624f-436e-8af1-fc677a59a123";
	public String TEXT_TO_SPEECH_PASSWORD = "berqyZXJ2J7f";
	public String SPEECH_TO_TEXT_USERNAME = "af3a6ecc-2f35-4672-2595-35e15bcd758a";
	public String SPEECH_TO_TEXT_PASSWORD = "KQ3itZUslHsc";
	public String CONVERSATION_USERNAME = "134f9b10-7d4a-4e4f-92a0-7372f67331f7";
	public String CONVERSATION_PASSWORD = "ijMoZB1vCVW6";
	/**
	 * TODO: Get Workspace ID from IBM Watson Conversation: https://ibmwatsonconversation.com
	 */
	public String CONVERSATION_WORKSPACE_ID = "1e28d5ef-7506-4e76-814e-e83f3cbe6816";
	/**
	 * TODO: After deploy your nodejs service for controlling robot car, fill in the host name here
	 */
	public String CAR_SERVICE_HOST = "your_car_host_name.mybluemix.net";

• Right click on the Chatbot project, choose Run As > Run on Server, then choose Tomcat v9.0 Server at localhost to open http://localhost:8080/Chatbot/ and see the running application

Deploy your Chatbot on the Bluemix

• Right click on the Chatbot project, choose Export > WAR file, then save the WAR file into Destination
• Run bluemix and cf command to deploy the WAR file on the Bluemix, please refer Getting Started section of the Liberty for Java. And this is an example of the shell command

	cd your_new_directory

	bluemix api https://api.ng.bluemix.net

	bluemix login -u your_name -o your_organization -s your_space

	cf push your_app_name -p your_war_file_directory/your_war_file.war

• Apache Common Codec
• Apache HTTP Client
• FastJSON
• Watson Java SDK
• Watson Speech JavaScript SDK

• Watson JavaScript Speech SDK does not support Safari
• The way of obtaining token is not secured, do not use it on Production

City entities and company locations

• Shenzhen: Technology Building II, No.1057, Nanhai Avenue
• Shanghai: KIC Technology Center
• Dalian: Hi-Tech Zone District, TianDi Software Park
• Wuhan: Donghu HiTech Development Zone
• Chengdu: Tianfu Software Park
• Beijing: Pangudaguan Building

Direction entities

• forward
• backward
• left
• right

Copyright 2016 GCG GBS CTO Office under the Apache 2.0 license.