@ibm-watson/assistant-simple

🚀 Watson Assistant (formerly Conversation) Sample Application

This Node.js app demonstrates the Watson Assistant service in a simple interface engaging in a series of simple simulated banking tasks.

You can view a demo of this app.

Please note this app uses the Watson Assistant V2 API. To access a version of the V1 app, you can go to v1.4.1.

If you need more information about the V1 API, you can go to the Watson Assistant V1 API page.

Prerequisites

• Sign up for an IBM Cloud account.
• Download the IBM Cloud CLI.
• Create an instance of the Watson Assistant service and get your credentials:
  • Go to the Watson Assistant page in the IBM Cloud Catalog.
  • Log in to your IBM Cloud account.
  • Click Create.
  • Click Show to view the service credentials.
  • Copy the apikey value, or copy the username and password values if your service instance doesn't provide an apikey.
  • Copy the url value.

Configuring the application

• In your IBM Cloud console, open the Watson Assistant service instance

• Click the Import workspace icon in the Watson Assistant service tool. Specify the location of the workspace JSON file in your local copy of the app project:

  <project_root>/training/bank_simple_workspace.json

• Select Everything (Intents, Entities, and Dialog) and then click Import. The car dashboard workspace is created.

• Click the menu icon in the upper-right corner of the workspace tile, and then select View details.

• Click the icon to copy the workspace ID to the clipboard.

  

• In the application folder, copy the .env.example file and create a file called .env

  cp .env.example .env
  

• Open the .env file and add the service credentials that you obtained in the previous step. The Watson SDK automatically locates the correct environmental variables for either username, password, and url or the apikey and url credentials found in the .env file.

  Example .env file that configures the apikey and url for a Watson Assistant service instance hosted in the US East region:

  ASSISTANT_IAM_APIKEY=X4rbi8vwZmKpXfowaS3GAsA7vdy17Qhxxxxxxxx
  ASSISTANT_URL=https://gateway-wdc.watsonplatform.net/assistant/api
  

  • If your service instance uses username and password credentials, add the ASSISTANT_USERNAME and ASSISTANT_PASSWORD variables to the .env file.

  Example .env file that configures the username, password, and url for a Watson Assistant service instance hosted in the US South region:

  ASSISTANT_USERNAME=522be-7b41-ab44-dec3-xxxxxxxx
  ASSISTANT_PASSWORD=A4Z5BdGENxxxx
  ASSISTANT_URL=https://gateway.watsonplatform.net/assistant/api
  

  However, if your credentials contain an IAM API key, copy the apikey and url to the relevant fields.

    {
      "apikey": "ca2905e6-7b5d-4408-9192-xxxxxxxx",
      "iam_apikey_description": "Auto generated apikey during resource-key ...",
      "iam_apikey_name": "auto-generated-apikey-62b71334-3ae3-4609-xxxxxxxx",
      "iam_role_crn": "crn:v1:bluemix:public:iam::::serviceRole:Manager",
      "iam_serviceid_crn": "crn:v1:bluemix:public:iam...",
      "url": "https://gateway-syd.watsonplatform.net/assistant/api"
    }
  

  ASSISTANT_IAM_APIKEY=ca2905e6-7b5d-4408-9192-xxxxxxxx
  

• Add the ASSISTANT_ID to the previous properties

  ASSISTANT_ID=522be-7b41-ab44-dec3-xxxxxxxx
  

Running locally

• Install the dependencies

  npm install
  

• Run the application

  npm start
  

• View the application in a browser at localhost:3000

Deploying to IBM Cloud as a Cloud Foundry Application

• Login to IBM Cloud with the IBM Cloud CLI

  ibmcloud login
  

• Target a Cloud Foundry organization and space.

  ibmcloud target --cf
  

• Edit the manifest.yml file. Change the name field to something unique.
  For example, - name: my-app-name.

• Deploy the application

  ibmcloud app push
  

• View the application online at the app URL.
  For example: https://my-app-name.mybluemix.net

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.