Skip to content

This application demonstrates the combination of the IBM Watson Conversation and Retrieve and Rank services.

License

Notifications You must be signed in to change notification settings

CrowdTruth/conversation-enhanced

 
 

Repository files navigation

Conversation Enhanced Sample Application

Build Status

This application demonstrates the combination of the Conversation and Retrieve and Rank services. First, users pose questions to the Conversation service. If Conversation is not able to confidently answer, Conversation Enhanced executes a call to Retrieve and Rank to provide the user with a list of helpful answers.

Either way you deploy this app, you must have a Bluemix account and run some steps within Bluemix.

                                                                       

How the app works

The application is designed and trained for chatting with a cognitive car. The chat interface is on the left, and the JSON that the JavaScript code receives from the server is on the right. A user is able to ask two primary categories of questions.

Commands may be issued to the car to perform simple operations. These commands are run against a small set of sample data trained with intents like "turn_on", "weather", and "capabilities".

Example commands that can be executed by the Conversation service are:

turn on windshield wipers
play music

This app has also ingested and trained itself based on a car manual. In addition to conversational commands, you can also ask questions that you would expect to have answered in your car manual. For example:

How do I check my tire pressure
How do I turn on cruise control

To watch a video about the code behind this app, see below.

# Getting Started using Bluemix

![](readme_images/Deploy on Bluemix - EIR app.png)

Before you begin

1 Ensure that you have a Bluemix account.

2 Ensure that you have the necessary space available in your Bluemix account. This action deploys 1 application and 3 services.

  • You can view this on your Bluemix Dashboard. Tiles will show what space you have available.
  • For example, for Services & APIS
            ![](readme_images/services.PNG)

Deploy the App

1 Select Deploy to Bluemix

             Deploy to Bluemix

2 Log in with an existing Bluemix account or sign up.

3 Name your app and select your REGION, ORGANIZATION, and SPACE. Then select DEPLOY.

            

  • This performs multiple actions:

    • Creates the app
    • Creates a Document Conversion service instance for use with the Retrieve & Rank tooling
    • Creates a Conversation service instance that the user needs for workspace creation
    • Creates a Retrieve & Rank service instance
  • The status of the deployment is shown. This can take some time.

            

4 Once your app has deployed, select VIEW YOUR APP.

            

5 This lauches more actions, including:

  • Creating a SOLR cluster, config, and collection in the Retrieve & Rank service
  • Ingesting documents into the collection
  • Creating a trained ranker to aide in answering questions

A dialog shows the progress.

            

When setup is complete, you are informed that you need to add a WORKSPACE_ID.

6 Navigate to your Bluemix Dashboard and [import a workspace](#workspace). Setup your workspace then return to these steps.

7 After you have set up a workspace, add the WORKSPACE_ID environment variable.

# Getting Started locally

![](readme_images/Deploy locally - EIR app.png)

Before you begin

Setup Bluemix components

1 In Bluemix, [create a Conversation Service](http://www.ibm.com/watson/developercloud/doc/conversation/convo_getstart.shtml). - Create the [Service Credentials](#credentials). - [Import a workspace](#workspace)

2 In Bluemix, create a Retrieve and Rank Service.

Building locally

To build the application:

1 Git clone the project https://github.com/CrowdTruth/conversation-enhanced

2 Navigate to the conversation-enhanced folder

3 For Windows, type gradlew.bat build. Otherwise, type gradlew build.

  • If you prefer, use your locally installed Gradle plugin instead of this provided wrapper.

4 The built WAR file (conversation-enhanced-0.1-SNAPSHOT.war) is in the conversation-enhanced/build/libs/ folder.

Running locally

1 Copy the WAR file generated above into the Liberty install directory's dropins folder. For example, <liberty install directory>/usr/servers/<server profile>/dropins.

2 Navigate to the conversation-enhanced/src/main/resources folder. Copy the server.env file.

3 Navigate to the <liberty install directory>/usr/servers/<server name>/ folder (where < server name > is the name of the Liberty server you wish to use). Paste the server.env here.

4 In the server.env file, search for "retrieve_and_rank":

  • Replace the "name" field with the name you gave your Retrieve and Rank Service.
  • Replace the "password" field.
  • Replace the "username" field.

5 In the server.env, search for "conversation".

  • Replace the "name" field with the name you gave your Conversation Service.
  • Replace the "password" field.
  • Replace the "username" field.

6 Add the WORKSPACE_ID that you copied earlier.

7 Start the server using Eclipse or CLI with the command server run <server name> (use the name you gave your server).

8 Liberty notifies you when the server starts and includes the port information.

9 Open your browser of choice and go to the URL displayed in Step 6. By default, this is http://localhost:9080/.

# Service Credentials

1 Go to the Bluemix Dashboard and select the Conversation service instance. Once there, select the Service Credentials menu item.

            

2 Select ADD CREDENTIALS. Name your credentials then select ADD.

3 Copy the credentials (or remember this location) for later use.

# Import a workspace

To use the app you're creating, you need to add a worksapce to your Conversation service. A workspace is a container for all the artifacts that define the behavior of your service (ie: intents, entities and chat flows). For this sample app, a workspace is provided.

For more information on workspaces, see the full Conversation service documentation.

1 Navigate to the Bluemix dashboard, and select the Conversation service you created.

            

2 Clicke the Launch Tool button under the Manage tab. This opens a new tab in your browser, where you are prompted to login if you have not done so before. Use your Bluemix credentials.

            

3 Download the exported JSON file that contains the Workspace contents.

4 Select the import icon: . Browse to (or drag and drop) the JSON file that you downloaded in Step 3. Choose to import Everything(Intents, Entities, and Dialog). Then select Import to finish importing the workspace.

5 Refresh your browser. A new workspace tile is created within the tooling. Select the menu button within the workspace tile, then select View details:

            Workpsace Details

In the Details UI, copy the 36 character UNID **ID** field. This is the **Workspace ID**.

            

7 Return to the deploy steps that you were following:

# Adding environment variables in Bluemix

1 In Bluemix, open the application from the Dashboard. Select Runtime and then Environment Variables.

            

2 In the User Defined section, add a variable with the name WORKSPACE_ID. For the value, paste in the Workspace ID you copied earlier. Select SAVE.

            

3 Restart your application.

Troubleshooting in Bluemix

In the Classic Experience:

  • Log in to Bluemix, you'll be taken to the dashboard.
  • Navigate to the the application you previously created.
  • Select Logs.

            

  • If you want, filter the LOG TYPE by "APP".

            

In the new Bluemix:

  • Log in to Bluemix, you'll be taken to the dashboard.
  • Select Console > Compute

            

  • Select the application you previously created.
  • Select Logs.

            

  • If you want, filter the Log Type by selecting the drop-down and selecting Application(APP).

            

Troubleshooting with CLI

To see the logs, run the command

$ cf logs < application-name > --recent

License

This sample code is licensed under Apache 2.0. Full license text is available in LICENSE.

Contributing

See CONTRIBUTING.

Open Source @ IBM

Find more open source projects on the IBM Github Page.

About

This application demonstrates the combination of the IBM Watson Conversation and Retrieve and Rank services.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Java 61.1%
  • TypeScript 21.3%
  • CSS 13.2%
  • JavaScript 2.6%
  • HTML 1.8%