Book Image

Flutter Cookbook

By : Simone Alessandria, Brian Kayfitz
4 (1)
Book Image

Flutter Cookbook

4 (1)
By: Simone Alessandria, Brian Kayfitz

Overview of this book

“Anyone interested in developing Flutter applications for Android or iOS should have a copy of this book on their desk.” – Amazon 5* Review Lauded as the ‘Flutter bible’ for new and experienced mobile app developers, this recipe-based guide will teach you the best practices for robust app development, as well as how to solve cross-platform development issues. From setting up and customizing your development environment to error handling and debugging, The Flutter Cookbook covers the how-tos as well as the principles behind them. As you progress, the recipes in this book will get you up to speed with the main tasks involved in app development, such as user interface and user experience (UI/UX) design, API design, and creating animations. Later chapters will focus on routing, retrieving data from web services, and persisting data locally. A dedicated section also covers Firebase and its machine learning capabilities. The last chapter is specifically designed to help you create apps for the web and desktop (Windows, Mac, and Linux). Throughout the book, you’ll also find recipes that cover the most important features needed to build a cross-platform application, along with insights into running a single codebase on different platforms. By the end of this Flutter book, you’ll be writing and delivering fully functional apps with confidence.
Table of Contents (17 chapters)
About Packt

How to do it...

In this recipe, you will add the tflite_flutter package and use its example model to classify a text, and sort whether the sentiment of the text is positive or negative. Follow these steps:

  1. Complete the setup procedure necessary to use the tflite_lite package; this depends on your system and is available at the following address:, in the Initial setup section.
  2. In the pubspec.yaml file, download the latest version of the tflite_lite package:
tflite_flutter: ^0.5.0
  1. In the root of the app, create a new folder, called assets.
  2. Download the text_classification.tflite model from to the assets folder.
  3. Download the text_classification_vocab.txt vocabulary file from to the assets folder.
  4. Download the classifier.dart file from