Skip to content

Latest commit

 

History

History
 
 

11.qnamaker

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
deploymentTemplates
deploymentTemplates
 
 
src
src
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
pom.xml
pom.xml
 
 

README.md

QnA Maker

Bot Framework v4 QnA Maker bot sample

This bot has been created using Bot Framework, it shows how to create a bot that uses the QnA Maker Cognitive AI service.

The QnA Maker Service enables you to build, train and publish a simple question and answer bot based on FAQ URLs, structured documents or editorial content in minutes. In this sample, we demonstrate how to use the QnA Maker service to answer questions based on a FAQ text file used as input.

This sample is a Spring Boot app and uses the Azure CLI and azure-webapp Maven plugin to deploy to Azure.

Prerequisites

This samples requires prerequisites in order to run.

Overview

  • This bot uses QnA Maker Service, an AI based cognitive service, to implement simple Question and Answer conversational patterns.
  • Java 1.8+
  • Install Maven
  • An account on Azure if you want to deploy to Azure.

Create a QnAMaker Application to enable QnA Knowledge Bases

QnA knowledge base setup and application configuration steps can be found here.

To try this sample

  • From the root of this project folder:
    • Build the sample using mvn package
    • Run it by using java -jar .\target\bot-qna-sample.jar

Testing the bot using Bot Framework Emulator

Bot Framework Emulator is a desktop application that allows bot developers to test and debug their bots on localhost or running remotely through a tunnel.

  • Install the latest Bot Framework Emulator from here

Connect to the bot using Bot Framework Emulator

  • Launch Bot Framework Emulator
  • File -> Open Bot
  • Enter a Bot URL of http://localhost:3978/api/messages

Interacting with the bot

QnA Maker enables you to power a question and answer service from your semi-structured content.

One of the basic requirements in writing your own bot is to seed it with questions and answers. In many cases, the questions and answers already exist in content like FAQ URLs/documents, product manuals, etc. With QnA Maker, users can query your application in a natural, conversational manner. QnA Maker uses machine learning to extract relevant question-answer pairs from your content. It also uses powerful matching and ranking algorithms to provide the best possible match between the user query and the questions.

Deploy the bot to Azure

As described on Deploy your bot, you will perform the first 4 steps to setup the Azure app, then deploy the code using the azure-webapp Maven plugin.

1. Login to Azure

From a command (or PowerShell) prompt in the root of the bot folder, execute:
az login

2. Set the subscription

az account set --subscription "<azure-subscription>"

If you aren't sure which subscription to use for deploying the bot, you can view the list of subscriptions for your account by using az account list command.

3. Create an App registration

az ad app create --display-name "<botname>" --password "<appsecret>" --available-to-other-tenants

Replace <botname> and <appsecret> with your own values.

<botname> is the unique name of your bot.
<appsecret> is a minimum 16 character password for your bot.

Record the appid from the returned JSON

4. Create the Azure resources

Replace the values for <appid>, <appsecret>, <botname>, and <groupname> in the following commands:

To a new Resource Group

az deployment sub create --name "qnaBotDeploy" --location "westus" --template-file ".\deploymentTemplates\template-with-new-rg.json" --parameters appId="<appid>" appSecret="<appsecret>" botId="<botname>" botSku=S1 newAppServicePlanName="qnaBotPlan" newWebAppName="qnaBot" groupLocation="westus" newAppServicePlanLocation="westus"

To an existing Resource Group

az deployment group create --resource-group "<groupname>" --template-file ".\deploymentTemplates\template-with-preexisting-rg.json" --parameters appId="<appid>" appSecret="<appsecret>" botId="<botname>" newWebAppName="qnaBot" newAppServicePlanName="qnaBotPlan" appServicePlanLocation="westus" --name "qnaBot"

5. Update app id and password

In src/main/resources/application.properties update

  • MicrosoftAppPassword with the botsecret value
  • MicrosoftAppId with the appid from the first step

6. Deploy the code

  • Execute mvn clean package
  • Execute mvn azure-webapp:deploy -Dgroupname="<groupname>" -Dbotname="<bot-app-service-name>"

If the deployment is successful, you will be able to test it via "Test in Web Chat" from the Azure Portal using the "Bot Channel Registration" for the bot.

After the bot is deployed, you only need to execute #6 if you make changes to the bot.

Further reading