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 requires prerequisites in order to run.
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.
-
.NET Core SDK version 3.1
# determine dotnet version dotnet --version
To learn how to configure Dispatch with multiple LUIS models and QnA Maker services, refer to the steps found here.
-
Clone the repository
git clone https://github.com/microsoft/botbuilder-samples.git
-
Run the bot from a terminal or from Visual Studio:
A) From a terminal, navigate to
samples/csharp_dotnetcore/14.nlp-with-dispatch
# run the bot dotnet run
B) Or from Visual Studio
- Launch Visual Studio
- File -> Open -> Project/Solution
- Navigate to
samples/csharp_dotnetcore/14.nlp-with-dispatch
folder - Select
NLP-With-Dispatch-Bot.csproj
file - Press
F5
to run the project
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
- Launch Bot Framework Emulator
- File -> Open Bot
- Enter a Bot URL of
http://localhost:3978/api/messages
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.
To learn more about deploying a bot to Azure, see Deploy your bot to Azure for a complete list of deployment instructions.