Flutter人工智能扫描插件flutter_ai_scanner的使用
Flutter人工智能扫描插件flutter_ai_scanner的使用
初始化
首先,你需要在main()
函数中初始化插件,并设置API密钥。以下是一个简单的示例:
import 'package:flutter/material.dart';
import 'package:flutter_ai_scanner/flutter_ai_scanner.dart';
void main() async {
// 设置AI代理并传入API密钥
Ai.delegate = const GptAiDelegate(key: 'YOUR_API_KEY_HERE');
// 发送请求以获取AI处理结果
final response = await Ai.completions(
AiCompletionRequest(
prompt: "i ate one piece medium apple and 2 pieces boiled eggs",
system: "Following the json schema and provide me only json. if you not found return null.\nSchema: {SCHEMA}",
schema: {
"name": "string",
"total_calories": "double",
"total_protein": "double",
"total_fat": "double",
"total_carbs": "double",
"ingredients": [
{
"name": "string",
"calories": "double",
"proteinInGram": "double",
"fatInGram": "double",
"carbsInGram": "double",
"quantity": "int",
"size": "string",
}
],
},
builder: (value) => AiData.from(value),
),
);
// 打印响应结果
print(response.choices?.firstOrNull?.message?.data);
// 启动应用
runApp(const MyApp());
}
数据模型
以下是用于处理AI返回数据的数据模型类定义:
class AiData {
final String? name;
final double? totalCalories;
final double? totalProtein;
final double? totalFat;
final double? totalCarbs;
final List<AiDataIngredient>? ingredients;
const AiData({
this.name,
this.totalCalories,
this.totalProtein,
this.totalFat,
this.totalCarbs,
this.ingredients,
});
factory AiData.from(Map<String, dynamic> source) {
return AiData(
name: source['name'] as String?,
totalCalories: (source['total_calories'] as num?)?.toDouble(),
totalProtein: (source['total_protein'] as num?)?.toDouble(),
totalFat: (source['total_fat'] as num?)?.toDouble(),
totalCarbs: (source['total_carbs'] as num?)?.toDouble(),
ingredients: (source['ingredients'] as List<dynamic>?)?
?.map((e) => AiDataIngredient.from(e as Map<String, dynamic>))
.toList(),
);
}
Map<String, dynamic> get source {
return {
'name': name,
'total_calories': totalCalories,
'total_protein': totalProtein,
'total_fat': totalFat,
'total_carbs': totalCarbs,
'ingredients': ingredients?.map((e) => e.source).toList(),
};
}
[@override](/user/override)
String toString() => "$AiData($source)";
}
class AiDataIngredient {
final String? name;
final double? calories;
final double? proteinInGram;
final double? fatInGram;
final double? carbsInGram;
final int? quantity;
final String? size;
const AiDataIngredient({
this.name,
this.calories,
this.proteinInGram,
this.fatInGram,
this.carbsInGram,
this.quantity,
this.size,
});
factory AiDataIngredient.from(Map<String, dynamic> source) {
return AiDataIngredient(
name: source['name'] as String?,
calories: (source['calories'] as num?)?.toDouble(),
proteinInGram: (source['proteinInGram'] as num?)?.toDouble(),
fatInGram: (source['fatInGram'] as num?)?.toDouble(),
carbsInGram: (source['carbsInGram'] as num?)?.toDouble(),
quantity: source['quantity'] as int?,
size: source['size'] as String?,
);
}
Map<String, dynamic> get source {
return {
'name': name,
'calories': calories,
'proteinInGram': proteinInGram,
'fatInGram': fatInGram,
'carbsInGram': carbsInGram,
'quantity': quantity,
'size': size,
};
}
[@override](/user/override)
String toString() => "$AiDataIngredient($source)";
}
完整示例Demo
以下是一个完整的示例,展示了如何使用flutter_ai_scanner
插件进行AI扫描:
import 'package:flutter/material.dart';
import 'package:flutter_ai_scanner/flutter_ai_scanner.dart';
void main() async {
// 设置AI代理并传入API密钥
Ai.delegate = const GptAiDelegate(key: 'YOUR_API_KEY_HERE');
// 发送请求以获取AI处理结果
final response = await Ai.completions(
AiCompletionRequest(
prompt: "i ate one piece medium apple and 2 pieces boiled eggs",
system: "Following the json schema and provide me only json. if you not found return null.\nSchema: {SCHEMA}",
schema: {
"name": "string",
"total_calories": "double",
"total_protein": "double",
"total_fat": "double",
"total_carbs": "double",
"ingredients": [
{
"name": "string",
"calories": "double",
"proteinInGram": "double",
"fatInGram": "double",
"carbsInGram": "double",
"quantity": "int",
"size": "string",
}
],
},
builder: (value) => AiData.from(value),
),
);
// 打印响应结果
print(response.choices?.firstOrNull?.message?.data);
// 启动应用
runApp(const MyApp());
}
// 数据模型类定义
class AiData {
final String? name;
final double? totalCalories;
final double? totalProtein;
final double? totalFat;
final double? totalCarbs;
final List<AiDataIngredient>? ingredients;
const AiData({
this.name,
this.totalCalories,
this.totalProtein,
this.totalFat,
this.totalCarbs,
this.ingredients,
});
factory AiData.from(Map<String, dynamic> source) {
return AiData(
name: source['name'] as String?,
totalCalories: (source['total_calories'] as num?)?.toDouble(),
totalProtein: (source['total_protein'] as num?)?.toDouble(),
totalFat: (source['total_fat'] as num?)?.toDouble(),
totalCarbs: (source['total_carbs'] as num?)?.toDouble(),
ingredients: (source['ingredients'] as List<dynamic>?)?
?.map((e) => AiDataIngredient.from(e as Map<String, dynamic>))
.toList(),
);
}
Map<String, dynamic> get source {
return {
'name': name,
'total_calories': totalCalories,
'total_protein': totalProtein,
'total_fat': totalFat,
'total_carbs': totalCarbs,
'ingredients': ingredients?.map((e) => e.source).toList(),
};
}
[@override](/user/override)
String toString() => "$AiData($source)";
}
class AiDataIngredient {
final String? name;
final double? calories;
final double? proteinInGram;
final double? fatInGram;
final double? carbsInGram;
final int? quantity;
final String? size;
const AiDataIngredient({
this.name,
this.calories,
this.proteinInGram,
this.fatInGram,
this.carbsInGram,
this.quantity,
this.size,
});
factory AiDataIngredient.from(Map<String, dynamic> source) {
return AiDataIngredient(
name: source['name'] as String?,
calories: (source['calories'] as num?)?.toDouble(),
proteinInGram: (source['proteinInGram'] as num?)?.toDouble(),
fatInGram: (source['fatInGram'] as num?)?.toDouble(),
carbsInGram: (source['carbsInGram'] as num?)?.toDouble(),
quantity: source['quantity'] as int?,
size: source['size'] as String?,
);
}
Map<String, dynamic> get source {
return {
'name': name,
'calories': calories,
'proteinInGram': proteinInGram,
'fatInGram': fatInGram,
'carbsInGram': carbsInGram,
'quantity': quantity,
'size': size,
};
}
[@override](/user/override)
String toString() => "$AiDataIngredient($source)";
}
// 应用主入口
class MyApp extends StatelessWidget {
const MyApp({super.key});
[@override](/user/override)
Widget build(BuildContext context) {
return MaterialApp(
debugShowCheckedModeBanner: false,
title: 'Flutter Ai Scanner',
theme: ThemeData(
colorScheme: ColorScheme.fromSeed(seedColor: Colors.deepPurple),
useMaterial3: true,
),
home: Container(), // 你可以在这里添加你的页面
);
}
}
更多关于Flutter人工智能扫描插件flutter_ai_scanner的使用的实战系列教程也可以访问 https://www.itying.com/category-92-b0.html
更多关于Flutter人工智能扫描插件flutter_ai_scanner的使用的实战系列教程也可以访问 https://www.itying.com/category-92-b0.html
当然,下面是一个关于如何使用 flutter_ai_scanner
插件的基本代码示例。这个插件允许你在 Flutter 应用中集成人工智能扫描功能,比如二维码扫描、物体识别等。请注意,这个插件的具体功能和可用性可能会随着版本更新而变化,因此请参考最新的官方文档以获取最新信息。
首先,你需要在 pubspec.yaml
文件中添加依赖:
dependencies:
flutter:
sdk: flutter
flutter_ai_scanner: ^x.y.z # 请替换为最新版本号
然后运行 flutter pub get
来获取依赖。
接下来,你可以创建一个简单的 Flutter 应用来使用这个插件。以下是一个基本的代码示例:
import 'package:flutter/material.dart';
import 'package:flutter_ai_scanner/flutter_ai_scanner.dart';
void main() {
runApp(MyApp());
}
class MyApp extends StatelessWidget {
@override
Widget build(BuildContext context) {
return MaterialApp(
title: 'Flutter AI Scanner Demo',
theme: ThemeData(
primarySwatch: Colors.blue,
),
home: ScannerPage(),
);
}
}
class ScannerPage extends StatefulWidget {
@override
_ScannerPageState createState() => _ScannerPageState();
}
class _ScannerPageState extends State<ScannerPage> {
late FlutterAiScannerController _controller;
String _scanResult = "";
@override
void initState() {
super.initState();
_controller = FlutterAiScannerController(
// 配置参数,比如扫描类型等,这里以二维码扫描为例
barcodeFormats: [BarcodeFormat.qrCode],
beepOnScan: true, // 扫描成功时发出声音
);
_controller.addListener(() {
if (_controller.isScanned) {
setState(() {
_scanResult = _controller.scanResult!;
});
_controller.reset(); // 重置扫描器以便进行下一次扫描
}
});
}
@override
void dispose() {
_controller.dispose();
super.dispose();
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('Flutter AI Scanner Demo'),
),
body: Center(
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: [
Expanded(
child: FlutterAiScanner(
controller: _controller,
scannerAreaColor: Colors.grey[200]!,
scannerAreaStyle: ScannerAreaStyle(
borderColor: Colors.blueAccent,
borderWidth: 4.0,
),
),
),
SizedBox(height: 20),
Text(
'Scan Result: $_scanResult',
style: TextStyle(fontSize: 20),
),
],
),
),
);
}
}
在这个示例中,我们创建了一个简单的 Flutter 应用,其中包含一个扫描页面。这个页面使用 FlutterAiScanner
组件来显示扫描区域,并通过 FlutterAiScannerController
来控制扫描行为。当扫描到二维码时,扫描结果会显示在页面上。
请注意,这个示例仅展示了基本的扫描功能。flutter_ai_scanner
插件可能还支持更多高级功能,如自定义扫描区域、处理不同类型的条形码、以及集成更多的人工智能模型。为了充分利用这些功能,请参考插件的官方文档和示例代码。