tflite_flutter 0.4.1 tflite_flutter: ^0.4.1 copied to clipboard
TensorFlow Lite Flutter plugin provides easy, flexible and fast Dart API to integrate TFLite models in flutter apps.
import 'package:flutter/material.dart';
import 'package:tflite_flutter_plugin_example/classifier.dart';
void main() => runApp(MyApp());
class MyApp extends StatefulWidget {
@override
_MyAppState createState() => _MyAppState();
}
class _MyAppState extends State<MyApp> {
TextEditingController _controller;
Classifier _classifier;
List<Widget> _children;
@override
void initState() {
super.initState();
_controller = TextEditingController();
_classifier = Classifier();
_children = [];
_children.add(Container());
}
@override
Widget build(BuildContext context) {
return MaterialApp(
home: Scaffold(
appBar: AppBar(
backgroundColor: Colors.orangeAccent,
title: const Text('Text classification'),
),
body: Container(
padding: const EdgeInsets.all(4),
child: Column(
children: <Widget>[
Expanded(
child: ListView.builder(
itemCount: _children.length,
itemBuilder: (_, index) {
return _children[index];
},
)),
Container(
padding: const EdgeInsets.all(8),
decoration: BoxDecoration(
border: Border.all(color: Colors.orangeAccent)),
child: Row(children: <Widget>[
Expanded(
child: TextField(
decoration: const InputDecoration(
hintText: 'Write some text here'),
controller: _controller,
),
),
FlatButton(
child: const Text('Classify'),
onPressed: () {
final text = _controller.text;
final prediction = _classifier.classify(text);
setState(() {
_children.add(Dismissible(
key: GlobalKey(),
onDismissed: (direction) {},
child: Card(
child: Container(
padding: const EdgeInsets.all(16),
color: prediction[1] > prediction[0]
? Colors.lightGreen
: Colors.redAccent,
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: <Widget>[
Text(
"Input: $text",
style: const TextStyle(fontSize: 16),
),
Text("Output:"),
Text(" Positive: ${prediction[1]}"),
Text(" Negative: ${prediction[0]}"),
],
),
),
),
));
_controller.clear();
});
},
),
]),
),
],
),
),
),
);
}
}