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@ibm-watson/assistant-intermediate
Advanced tools
A simple Node.js based web app which shows how to use the Watson Assistant API to recognize user intents.
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 v1.1.0.
If you need more information about the V1 API, you can go to the Watson Assistant V1 API page.
apikey
value, or copy the username
and password
values if your service instance doesn't provide an apikey
.url
value.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/banking_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 automaticaly locates the correct enviromental 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=X4rbi8vwZmKpXfowaS3GAsA7vdy17Qh7km5D6EzKLHL2
ASSISTANT_URL=https://gateway-wdc.watsonplatform.net/assistant/api
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-g1eab2ha73c6
ASSISTANT_PASSWORD=A4Z5BdGENrwu8
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-e4d54d83e604",
"iam_apikey_description": "Auto generated apikey during resource-key ...",
"iam_apikey_name": "auto-generated-apikey-62b71334-3ae3-4609-be26-846fa59ece42",
"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-e4d54d83e604
ASSISTANT_IAM_URL=https://gateway-syd.watsonplatform.net/assistant/api
Add the ASSISTANT_ID
to the previous properties
ASSISTANT_ID=522be-7b41-ab44-dec3-g1eab2ha73c6
Install the dependencies
npm install
Run the application
npm start
View the application in a browser at localhost:3000
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
This sample code is licensed under Apache 2.0.
Full license text is available in LICENSE.
See CONTRIBUTING.
Find more open source projects on the IBM Github Page.
FAQs
A simple Node.js based web app which shows how to use the Watson Assistant API to recognize user intents.
The npm package @ibm-watson/assistant-intermediate receives a total of 1 weekly downloads. As such, @ibm-watson/assistant-intermediate popularity was classified as not popular.
We found that @ibm-watson/assistant-intermediate demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 6 open source maintainers collaborating on the project.
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