Book Image

Building Bots with Microsoft Bot Framework

By : Kishore Gaddam

Book Image

Building Bots with Microsoft Bot Framework

By: Kishore Gaddam

Overview of this book

Bots help users to use the language as a UI and interact with the applications from any platform. This book teaches you how to develop real-world bots using Microsoft Bot Framework. The book starts with setting up the Microsoft Bot Framework development environment and emulator, and moves on to building the first bot using Connector and Builder SDK. Explore how to register, connect, test, and publish your bot to the Slack, Skype, and Facebook Messenger platforms. Throughout this book, you will build different types of bots from simple to complex, such as a weather bot, a natural speech and intent processing bot, an Interactive Voice Response (IVR) bot for a bank, a facial expression recognition bot, and more from scratch. These bots were designed and developed to teach you concepts such as text detection, implementing LUIS dialogs, Cortana Intelligence Services, third-party authentication, Rich Text format, Bot State Service, and microServices so you can practice working with the standard development tools such as Visual Studio, Bot Emulator, and Azure.

Preface

What this book covers

What you need for this book

Who this book is for

Reader feedback

Customer support

Free Chapter

Setting up Microsoft Bot Framework Dev Environment

Setting up Microsoft Bot Framework Dev Environment

Conversation as a Service (CaaS)

The Bot Connector

The Bot Directory

Setting up the development environment

Cards and buttons

Developing Your First Bot Using the Connector and Builder SDK

Developing Your First Bot Using the Connector and Builder SDK

Bots are evolving

Developing your first bot

Creating our first bot

How to deploy and run the bot application in the Bot Framework emulator locally

How to use dialogs in bot applications

How to use FormFlow in the bot application

Developing WeatherBot Using Dialogs and LUIS

Developing WeatherBot Using Dialogs and LUIS

Language Understanding Intelligent Service (LUIS)

Intents and Entities

Training your bot using utterances

Development of WeatherBot code

Calling LUIS from the bot

Natural speech and Intent processing bot using Microsoft Cognitive Services

Identifying the name of a person, place, and company using LUIS

Training your app

Calling LUIS from the bot

Natural Speech and Intent Processing Bot Using Microsoft Cognitive Services

Natural Speech and Intent Processing Bot Using Microsoft Cognitive Services

Microsoft Cognitive Services

Identifying the name of a person, place, and company using LUIS

Training your app using utterances

Calling LUIS from the bot

Developing Bots Using LUIS Prompt Dialogs with State and Nearby Bot Using Custom APIs

Developing Bots Using LUIS Prompt Dialogs with State and Nearby Bot Using Custom APIs

Employee Enroll bot using LUIS prompt dialogs

Creating the C# class for LUIS response

Bot state service

Developing a Nearby Bot using custom APIs

Developing an IVR Bot for a Bank Using Advanced Microsoft Bot Framework Technologies

Developing an IVR Bot for a Bank Using Advanced Microsoft Bot Framework Technologies

High-level architectural diagram

Let's start coding

Storing the bot conversation (new account info) data in an Azure SQL database

Checking your savings account balance using the bot

Checking your current account balance using the bot

Paying your credit card bill using the bot

Deleting an account using the bot

Intelligent Bots with Microsoft Bot Framework and Service Fabric

Intelligent Bots with Microsoft Bot Framework and Service Fabric

Getting started using stateless microservices

Publishing a Service Fabric project in Azure

Developing Intelligent Facial Expression Identification Bot for IoT Using Azure and Power BI

Developing Intelligent Facial Expression Identification Bot for IoT Using Azure and Power BI

Before getting started

Configuring Raspberry Pi and sensors

Device identity and registry with IoT Hub

Sign Up Microsoft Cognitive Services

Registering your Bot in Bot Framework

Configure Direct Line Channel

Develop an UWP app for Raspberry Pi device

Deploy Code in to Raspberry Pi

Show facial analytics data in Power BI

Publishing a Bot to Skype, Slack, Facebook, and the GroupMe Channel

Publishing a Bot to Skype, Slack, Facebook, and the GroupMe Channel

Publishing bots to various channels

Registering your bot with Microsoft Bot Framework

Configuring channels

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Summary

In this chapter, we have learned the following:

Registering a bot: Once registered, we use the dashboard to test the bot to ensure that it is talking to the connector service and/or use the web chat control, and an auto-configured channel, to experience what users will experience when conversing with the bot
Connecting to channels: Connect the bot to the conversation channels such as Skype, Slack, and/or Facebook Messenger using the channel configuration page
Testing bot: Test the bot's connection to the Bot Framework and try it out using the web chat control
Publishing bot: We get to publish the bot
Measuring bot: We get to learn how to link the bot to Azure Application Insights analytics directly from the bot dashboard in the Bot Framework website
Managing a bot: Once registered and connected to channels, we can manage the bot via the bot's dashboard in the Bot Framework Developer Portal

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