Skip to content

Latest commit

 

History

History
 
 

14.nlp-with-dispatch

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

NLP with Dispatch

Bot Framework v4 NLP with Dispatch bot sample

This bot has been created using Bot Framework, it shows how to create a bot that relies on multiple LUIS.ai and QnAMaker.ai models for natural language processing (NLP).

Use the Dispatch model in cases when:

  • Your bot consists of multiple language modules (LUIS + QnA) and you need assistance in routing user's utterances to these modules in order to integrate the different modules into your bot.
  • Evaluate quality of intents classification of a single LUIS model.
  • Create a text classification model from text files.

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

Prerequisites

  • Java 1.8+
  • Install Maven
  • An account on Azure if you want to deploy to Azure.

Overview

This bot uses the Dispatch service to route utterances as it demonstrates the use of multiple LUIS models and QnA maker services to support multiper conversational scenarios.

Create a QnAMaker Application to enable QnA Knowledge Bases

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

Once the Knowledge Base was created and published, refer to this section for the instructions on how to obtain the QnAMaker parameters to be used in the application settings.

Use Dispatch with Multiple LUIS and QnA Models

To learn how to configure Dispatch with multiple LUIS models and QnA Maker services, refer to the steps 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\nlp-with-dispatch-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

Once you are comfortable with the concepts presented in this sample, you may want to configure Dispatch using a CLI tool. Dispatch CLI is a CLI tool that enables you to create a dispatch NLP model across the different LUIS applications and/ or QnA Maker Knowledge Bases you have for your bot.

Deploy the bot to Azure

To learn more about deploying a bot to Azure, see Deploy your bot to Azure for a complete list of deployment instructions.

Further reading