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Blazor WebAssembly by Example

Blazor WebAssembly by Example - Third Edition

By : Toi B. Wright
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Blazor WebAssembly by Example

Blazor WebAssembly by Example

By: Toi B. Wright

Overview of this book

Blazor WebAssembly allows you to build web apps without the need for JavaScript, plugins, or add-ons. With its continued growth in popularity, Blazor WebAssembly can open doors to new career paths and exciting projects, and Blazor WebAssembly by Example makes getting started easy. This project-based guide teaches you how to build single-page web applications by focusing heavily on the practical over the theoretical. The author provides step-by-step instructions for each project as well as a video of her following those exact steps. In this updated edition, we've added two new chapters on integrating artificial intelligence into web apps built with Blazor WebAssembly. You'll start with simple standalone web apps and gradually progress to hosted web applications with SQL Server backends. Each project covers a different concept from the Blazor WebAssembly ecosystem, such as Razor components, JavaScript interop, security, events, debugging, state management, hosted applications, REST APIs, and AI. The book's projects get more challenging as you progress, but you don't have to complete them in order, which makes this book a valuable resource for beginners as well as those who just want to dip into specific topics. By the end of this book, you'll be building your own web apps with .NET and C# using Blazor WebAssembly.
Table of Contents (18 chapters)
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15
Chapter 15: Unlock Access to the Code Bundle and the PDF Version
16
Other Books You May Enjoy
17
Index

6

Using Artificial Intelligence to Build a Smart Combo Box

A regular combo box is a UI control that combines a single-line textbox with a dropdown and filters items using simple substring matching. In this chapter, you'll take that idea further and will build a smart combo box. A smart combo box replaces simple substring matching with AI-powered semantic matching. For example, when a user types ride to airport, Ground Transport is automatically sorted to the top of the dropdown. The smart combo box you build will provide intelligent autocomplete input using ONNX-based semantic matching to display the most relevant suggestions from the list of items.

In this chapter you will be introduced to Machine Learning (ML) concepts, including tokenization, model training, and inference. You'll learn what an Open Neural Network Exchange (ONNX) model is, how to load one into your Blazor WebAssembly app, and how to use it to compare strings of text based on meaning rather than exact spelling...

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Tech Concepts
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Programming languages
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Blazor WebAssembly by Example
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