Based on a Think 2018 lab session:
Watson Assistant + Watson Language Translator to create a multilingual chatbot
Demo: https://multilingual-chatbot-demo.mybluemix.net/
Verify that your system satisfies the dependencies below:
Make sure the Cloud Functions plug-in is installed
bx plugin install cloud-functions
Create a python environment with conda
conda env create -f environment.yml
Activate the environment
source activate watson
Sign up for an IBM Cloud account at https://console.bluemix.net/
From the dashboard, click on Create resource and search for Language Translator.
Provision an instance of Language Translator under the Lite plan.
Create a set of credentials by clicking Service credentials > New credential > Add.
From the dashboard, click on Create resource and search for Watson Assistant.
Provision an instance of Watson Assistant under the Lite plan.
Click Launch Tool.
Create an instance by clicking on Edit Sample of the Car Dashboard workspace.
Make a note of <conversation-workspace-id>.
This can be found under Deployment > Credentials of the individual workspace editor
or by clicking on View Details from the home Workspaces page of the tool.
Once Watson has finished training, you may test out interacting with the assistant by clicking on Try it on the right side of the page.
Challenge: try editing your workspace to customize the flows and responses.
Login in to your account (follow the prompts)
bx login
Target the organization and space that contains your services (follow the prompts)
bx target --cf
Make sure you are in the multilingual-chatbot directory.
Run the deployment script to package and update your cloud function
./deploy_cloudfunction.sh
Bind the conversation workspace ID (from above) as a default parameter
bx wsk action update translator --param conversation_workspace_id <conversation-workspace-id>
Check name of your Watson service instances
bx service list
You should see output that looks something like this:
<conversation-instance-name> conversation free
<translator-instance-name> language_translator free
Attach these services to your cloud function
bx wsk service bind conversation translator --instance <conversation-instance-name>
bx wsk service bind language_translator translator --instance <translator-instance-name>
Verify that these services are available as parameters to your cloud function
bx wsk action get translator parameters
Send a few sample requests
bx wsk action invoke translator --result
bx wsk action invoke translator --result --param text "hi there"
bx wsk action invoke translator --result --param text "hola amigo"
Get the namespace for your deployed cloud function
bx wsk action get translator namespace
Run the program. Experiment with switching between languages mid-conversation
python main.py --namespace <namespace>
Make a standard HTTP POST request to interact with the cloud function from any application
curl -X POST -H "Content-Type: application/json" -d '{"text": "bonjour"}' https://openwhisk.ng.bluemix.net/api/v1/web/<namespace>/default/translator.json
You will see a response like this
{
"context": "<content>",
"intents": "<intents>",
"language": "<language>",
"message": "<message>",
"output": "<output>"
}
On subsequent requests, make sure to pass that context variable back in, to continue the conversation where you left off
curl -X POST -H "Content-Type: application/json" -d '{"text": "jouer de la musique", "context": "<context>"}' https://openwhisk.ng.bluemix.net/api/v1/web/<namespace>/default/translator.json