Chat-assistant-bot-for-people

Deployment URL

https://portal.azure.com/#@dhananjaysharma207outlook.onmicrosoft.com/resource/subscriptions/355045d5-ce60-484e-8ca3-8fe243d73abc/resourceGroups/proj1/providers/Microsoft.BotService/botServices/healbot3/overview

USE OF AZURE SERVICE IN THIS PROJECT :-

This project “The chat assistant bot for people” is made by me using the azure services like QNAmaker,App services and App in which I have created the QNAmaker for the bot by providing the necessary details and then created it by reviewing it ,finally I have created a knowledge base to complete the QNAmaker process by providing the web site URL i.e.“https://www.cdc.gov/coronavirus/2019-ncov/faq.html” from which my bot will take the question and answer accordingly to the basic queries on covid-19 , after successfully deploying my project on the azure services I concluded my project. This project is purely made using the azure modules and services .

Output

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Project URL

https://github.com/Dhananjaysharma207/Chat-assistant-bot-for-people

Demo Url

https://sites.google.com/akgec.ac.in/dhananjaycovidbot/home?authuser=1

QnA Maker

Bot Framework v4 QnA Maker bot sample. This sample shows how to integrate Multiturn and Active learning in a QnA Maker bot with ASP.Net Core-2. Click here to know more about using follow-up prompts to create multiturn conversation. To know more about how to enable and use active learning, click here.

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.

Concepts introduced in this sample

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 Active Learning to generate suggestions for knowledge base. -.how to use the Multiturn experience for the knowledge base .

Prerequisites

- Follow instructions here to create a QnA Maker service.

Follow instructions here to create multiturn experience.
Follow instructions here to import and publish your newly created QnA Maker service.
Update appsettings.json with your kbid (KnowledgeBase Id), endpointKey and endpointHost. QnA knowledge base setup and application configuration steps can be found here.
(Optional) Follow instructions here to set up the QnA Maker CLI to deploy the model.

Create a QnAMaker Application to enable QnA Knowledge Bases

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

Configure Cognitive Service Model

Create a Knowledge Base in QnAMaker Portal.
Import “smartLightFAQ.tsv” file, in QnAMaker Portal.
Save and Train the model.
Create Bot from Publish page.
Test bot with Web Chat.
Capture values of settings like”QnAAuthKey” from
“Configuration” page of created bot, in Azure Portal.
Updated appsettings.json with values as needed.
Use value of “QnAAuthKey” for setting “QnAEndpointKey”.
Capture KnowledgeBase Id, HostName and EndpointKey current published app

Try Active Learning

Once your QnA Maker service is up and you have published the sample KB, try the following queries to trigger the Train API on the bot.
Sample query: “light”
You can observe that, Multiple answers are returned with high score.

Try Multi-turn prompt

Once your QnA Maker service is up and you have published the sample KB, try the following queries to trigger the Train API on the bot.
Sample query: “won’t turn on”
You can notice a prompt, included as part of answer to query.

To try this sample

Clone the repository

  git clone https://github.com/Microsoft/botbuilder-samples.git

In a terminal, navigate to samples/csharp_dotnetcore/49.qnamaker-all-features
Run the bot from a terminal or from Visual Studio, choose option A or B.

A) From a terminal
```
# run the bot
dotnet run
```
B) Or from Visual Studio
- Launch Visual Studio
- File -> Open -> Project/Solution
- Navigate to samples/csharp_dotnetcore/49.qnamaker-all-features folder
- Select QnABot.csproj file
- Press F5 to run the project

Microsoft Teams channel group chat fix

Goto Bot/QnABot.cs

Add References

  using Microsoft.Bot.Connector;
  using System.Text.RegularExpressions;

Modify OnTurnAsync function as:

  public override async Task OnTurnAsync(ITurnContext turnContext, CancellationToken cancellationToken = default)
      {
          // Teams group chat
          if (turnContext.Activity.ChannelId.Equals(Channels.Msteams))
          {
              turnContext.Activity.Text = turnContext.Activity.RemoveRecipientMention();
          }
            
          await base.OnTurnAsync(turnContext, cancellationToken);

          // Save any state changes that might have occurred during the turn.
          await ConversationState.SaveChangesAsync(turnContext, false, cancellationToken);
          await UserState.SaveChangesAsync(turnContext, false, cancellationToken);
      }

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 Bot Framework Emulator version 4.3.0 or greater 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

Deploy the bot to Azure

See Deploy your C# bot to Azure for instructions.

The deployment process assumes you have an account on Microsoft Azure and are able to log into the Microsoft Azure Portal.

If you are new to Microsoft Azure, please refer to Getting started with Azure for guidance on how to get started on Azure.