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Practical Node-RED Programming

You're reading from   Practical Node-RED Programming Learn powerful visual programming techniques and best practices for the web and IoT

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781800201590
Length 326 pages
Edition 1st Edition
Languages
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Author (1):
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Taiji Hagino Taiji Hagino
Author Profile Icon Taiji Hagino
Taiji Hagino
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Node-RED Basics
2. Chapter 1: Introducing Node-RED and Flow-Based Programming FREE CHAPTER 3. Chapter 2: Setting Up the Development Environment 4. Chapter 3: Understanding Node-RED Characteristics by Creating Basic Flows 5. Chapter 4: Learning the Major Nodes 6. Section 2: Mastering Node-RED
7. Chapter 5: Implementing Node-RED Locally 8. Chapter 6: Implementing Node-RED in the Cloud 9. Chapter 7: Calling a Web API from Node-RED 10. Chapter 8: Using the Project Feature with Git 11. Section 3: Practical Matters
12. Chapter 9: Creating a ToDo Application with Node-RED 13. Chapter 10: Handling Sensor Data on the Raspberry Pi 14. Chapter 11: Visualize Data by Creating a Server-Side Application in the IBM Cloud 15. Chapter 12: Developing a Chatbot Application Using Slack and IBM Watson 16. Chapter 13: Creating and Publishing Your Own Node on the Node-RED Library 17. Other Books You May Enjoy Appendix: Node-RED User Community

Creating a Watson Assistant API

This hands-on tutorial uses IBM's Watson Assistant API as the engine for chatbots. Watson Assistant can use natural language analysis to interpret the intent and purpose of natural conversation and return an appropriate answer.

Details about Watson Assistant can be found at the following URL: https://www.ibm.com/cloud/watson-assistant-2/.

To use the Watson Assistant API, you need to create an instance of the Watson Assistant API on IBM Cloud. Follow these steps to create it:

  1. Log in to your IBM Cloud dashboard, and search Assistant in the Catalog. Click the Assistant tile on the results of your search:

    Figure 12.10 – Search for Watson Assistant

  2. Create a Watson Assistant API service. Select a region for the Watson Assistant service data center. Dallas is stable so here we selected Dallas.
  3. Select Lite for the pricing plan. Other items such as service name and resource group can be left at their default values.
  4. Click...
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