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Building Bots with Microsoft Bot Framework

You're reading from   Building Bots with Microsoft Bot Framework Creating intelligent conversational interfaces

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786463104
Length 424 pages
Edition 1st Edition
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Author (1):
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Kishore Gaddam Kishore Gaddam
Author Profile Icon Kishore Gaddam
Kishore Gaddam
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Table of Contents (10) Chapters Close

Preface 1. Setting up Microsoft Bot Framework Dev Environment 2. Developing Your First Bot Using the Connector and Builder SDK FREE CHAPTER 3. Developing WeatherBot Using Dialogs and LUIS 4. Natural Speech and Intent Processing Bot Using Microsoft Cognitive Services 5. Developing Bots Using LUIS Prompt Dialogs with State and Nearby Bot Using Custom APIs 6. Developing an IVR Bot for a Bank Using Advanced Microsoft Bot Framework Technologies 7. Intelligent Bots with Microsoft Bot Framework and Service Fabric 8. Developing Intelligent Facial Expression Identification Bot for IoT Using Azure and Power BI 9. Publishing a Bot to Skype, Slack, Facebook, and the GroupMe Channel

Calling LUIS from the bot

In the previous step, we set up and configured the LUIS app and also trained it. Now, let's see how you can use the LUIS app in a bot application. To incorporate a call to LUIS, we can start by adding the mentioned function. It simply calls LUIS REST API and returns the phrases and intents we set up in LUIS, for example, name, city, company name, and so on.

Return to Visual Studio and open the MessagesController.cs file; under the Post method, update the code to get the LUIS results, as follows:

var luisOutputString = "Intent and Language Understanding Intelligence Service Processing results are \r \n"; 

The following line of code is where we frame a LUIS app REST API URL--if you observe, we are passing the LUIS app ID and LUIS subscription key; this is the URL you copied from the above step, publishing settings of the LUIS app:


var luisRequestURL =
...
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