我用 Flutter Gemini 写了一个水贴 APP

Ducafecat
5 min readFeb 28, 2024

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视频

https://youtu.be/sEpJWfNwbmk

前言

原文 https://ducafecat.com/blog/flutter-gemini-ai-integration

本文通过 Flutter 插件 google_generative_ai 快速的集成了 google ai gemini 来实现一个水贴的工具。

代码

https://github.com/ducafecat/flutter_develop_tips/tree/main/flutter_application_gemini

gemini 介绍

门户站

https://gemini.google.com/

开发站

https://ai.google.dev/

Google Cloud 收费

https://console.cloud.google.com

参考

https://medium.com/flutter/harness-the-gemini-api-in-your-dart-and-flutter-apps-00573e560381

https://ai.google.dev/tutorials/dart_quickstart?hl=zh-cn

https://ai.google.dev/models/gemini?hl=zh-cn

技术限制

限制国家 IP

限制模拟器运行,需要真机运行

准备工作

获取 gemini api key

https://aistudio.google.com/app/apikey?hl=zh-cn

模型说明

https://ai.google.dev/models/gemini?hl=zh-cn

测试有效

请求地址 url

https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=YOUR_API_KEY

参数

{
"contents": [
{
"parts": [
{
"text": "介绍下如何快速学习 Flutter."
}
]
}
]
}

postman 测试

Flutter 开发步骤

添加 pub 包

pubspec.yaml

dependencies:
flutter:
sdk: flutter
  # The following adds the Cupertino Icons font to your application.
# Use with the CupertinoIcons class for iOS style icons.
cupertino_icons: ^1.0.2
google_generative_ai: ^0.2.1
dio: ^5.4.1
flutter_markdown: ^0.6.20

插件包站:

https://flutter.ducafecat.com

https://pub.dev

准备图片

pubspec.yaml

# The following section is specific to Flutter packages.
flutter:
# The following line ensures that the Material Icons font is
# included with your application, so that you can use the icons in
# the material Icons class.
uses-material-design: true
  # To add assets to your application, add an assets section, like this:
assets:
- assets/images/

准备了 1.jpg 2.jpg , 一会让 gemini 识别下图片内容。

配置 API Key

.vscode/launch.json

{
// 使用 IntelliSense 了解相关属性。
// 悬停以查看现有属性的描述。
// 欲了解更多信息,请访问: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "flutter_application_gemini",
"request": "launch",
"type": "dart",
"flutterMode": "debug",
"program": "lib/main.dart",
"args": ["--dart-define=API_KEY=you key"]
},
{
"name": "flutter_application_gemini (profile mode)",
"request": "launch",
"type": "dart",
"flutterMode": "profile"
},
{
"name": "flutter_application_gemini (release mode)",
"request": "launch",
"type": "dart",
"flutterMode": "release"
}
]
}

lib/main.dart

class MyApp extends StatelessWidget {
const MyApp({super.key});
  static String apiKey = const String.fromEnvironment('API_KEY');
......

首页

lib/index.dart

标题

@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: const Text('Google Gemini AI 水贴'),
),
body: _buildView(),
);
}

主视图

Widget _buildView() {
return Container(
padding: const EdgeInsets.all(10),
child: GridView.extent(
maxCrossAxisExtent: 150,
mainAxisSpacing: 20,
crossAxisSpacing: 20,
children: <Widget>[
// 1 内容生成
_buildItem(
"内容生成",
onTap: () => Navigator.push(
context,
MaterialPageRoute(builder: (context) => const ContentPage()),
),
),
          // 2 流失内容生成
_buildItem(
"流失内容",
onTap: () => Navigator.push(
context,
MaterialPageRoute(builder: (context) => const StreamPage()),
),
),
// 3 图片识别
_buildItem(
"图片识别",
onTap: () => Navigator.push(
context,
MaterialPageRoute(builder: (context) => const VersionPage()),
),
),
],
),
);
}

单元格

Widget _buildItem(String title, {Function()? onTap}) {
return GestureDetector(
onTap: onTap,
child: Container(
decoration: BoxDecoration(
border: Border.all(color: Colors.grey),
),
child: Center(
child: Text(
title,
style: const TextStyle(fontSize: 18),
)),
),
);
}

内容生成

lib/content.dart

标题、发送、复制

@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: const Text('内容生成'),
actions: [
// 复制
IconButton(
onPressed: () {
Clipboard.setData(ClipboardData(text: _content));
},
icon: const Icon(Icons.copy),
),
// 提交
IconButton(
onPressed: () async {
var res = await _doContentGeneration(_textController.text);
setState(() {
_content = res ?? "";
});
},
icon: const Icon(Icons.send),
)
],
),
body: _buildView(),
);
}

输入框

final TextEditingController _textController = TextEditingController(
text: "你现在是论坛水贴王子,请介绍下油管up主猫哥(ducafecat), 他讲 flutter 技术,而且黑暗巫术也很好。");
@override
void dispose() {
_textController.dispose();
super.dispose();
}

ai 生成

/// ai 内容
String _content = "";
/// 生成文字内容
Future<String?> _doContentGeneration(String value) async {
// 生成模型
final model = GenerativeModel(
// 模型名称
model: 'gemini-pro',
// API 密钥
apiKey: MyApp.apiKey,
// 根据可能的有害性调整您看到回复的可能性。基于内容有害性的概率进行屏蔽。
safetySettings: [
SafetySetting(HarmCategory.harassment, HarmBlockThreshold.medium), // 骚扰
SafetySetting(
HarmCategory.hateSpeech, HarmBlockThreshold.medium), // 仇恨言论
SafetySetting(
HarmCategory.sexuallyExplicit, HarmBlockThreshold.medium), // x暗示
SafetySetting(
HarmCategory.dangerousContent, HarmBlockThreshold.medium), // 危险内容
],
);
    // 提问词列表
final content = [
Content.text(value),
];
// 请求返回
final response = await model.generateContent(content);
return response.text;
}

主视图

Widget _buildView() {
return Column(
children: [
// 输入框
TextField(
controller: _textController,
maxLines: 3,
decoration: const InputDecoration(
labelText: '输入你的提示词',
),
),
        // 内容
Expanded(child: Markdown(data: _content)),
],
);
}

流失内容

lib/stream.dart

流式文字内容

/// 生成文字内容
Future<void> _doContentStream(String value) async {
// 生成模型
final model = GenerativeModel(
// 模型名称
model: 'gemini-pro',
// API 密钥
apiKey: MyApp.apiKey,
// 根据可能的有害性调整您看到回复的可能性。基于内容有害性的概率进行屏蔽。
safetySettings: [
SafetySetting(HarmCategory.harassment, HarmBlockThreshold.medium), // 骚扰
SafetySetting(
HarmCategory.hateSpeech, HarmBlockThreshold.medium), // 仇恨言论
SafetySetting(
HarmCategory.sexuallyExplicit, HarmBlockThreshold.medium), // x暗示
SafetySetting(
HarmCategory.dangerousContent, HarmBlockThreshold.medium), // 危险内容
],
);
    // 提问词列表
final content = [
Content.text(value),
];
// 清空
setState(() {
_content = "";
});
// 流失接收
model.generateContentStream(content).listen((event) {
setState(() {
_content += event.text ?? "";
});
});
}

图片识别

lib/vision.dart

build

@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: const Text('图片识别'),
actions: [
// 复制
IconButton(
onPressed: () {
Clipboard.setData(ClipboardData(text: _content));
},
icon: const Icon(Icons.copy),
),
// 提交
IconButton(
onPressed: () async {
var res = await _doVisionGeneration(_textController.text);
setState(() {
_content = res ?? "";
});
},
icon: const Icon(Icons.send),
)
],
),
body: _buildView(),
);
}

主视图

Widget _buildView() {
return Column(
children: [
// 输入框
TextField(
controller: _textController,
// maxLines: 2,
decoration: const InputDecoration(
labelText: '输入你的提示词',
),
),
        // 图片列表
SizedBox(
height: 160,
child: _buildImagesList(),
),
// 内容
Expanded(child: Markdown(data: _content)),
],
);
}

输入框

final TextEditingController _textController =
TextEditingController(text: "这两张图片是关于什么内容?");
@override
void dispose() {
_textController.dispose();
super.dispose();
}

图片列表

/// 图片列表
Widget _buildImagesList() {
return Container(
padding: const EdgeInsets.all(10),
child: GridView.extent(
maxCrossAxisExtent: 150,
mainAxisSpacing: 20,
crossAxisSpacing: 20,
children: <Widget>[
Image.asset("assets/images/1.jpg"),
Image.asset("assets/images/2.jpg"),
],
),
);
}

图片识别

/// ai 内容
String _content = "";
/// 读取图片
Future<Uint8List> loadImage(String path) async {
final ByteData data = await rootBundle.load(path);
return data.buffer.asUint8List();
}
/// 图片识别
Future<String?> _doVisionGeneration(String value) async {
// 生成模型
final model = GenerativeModel(
// 模型名称
model: 'gemini-pro-vision',
// API 密钥
apiKey: MyApp.apiKey,
// 根据可能的有害性调整您看到回复的可能性。基于内容有害性的概率进行屏蔽。
safetySettings: [
SafetySetting(HarmCategory.harassment, HarmBlockThreshold.medium), // 骚扰
SafetySetting(
HarmCategory.hateSpeech, HarmBlockThreshold.medium), // 仇恨言论
SafetySetting(
HarmCategory.sexuallyExplicit, HarmBlockThreshold.medium), // x暗示
SafetySetting(
HarmCategory.dangerousContent, HarmBlockThreshold.medium), // 危险内容
],
);
    // 提问词列表
final (firstImage, secondImage) = await (
loadImage('assets/images/1.jpg'),
loadImage('assets/images/2.jpg'),
// File('assets/images/1.jpg').readAsBytes(),
// File('assets/images/1.jpg').readAsBytes()
).wait;
final prompt = TextPart(value);
final imageParts = [
DataPart('image/jpeg', firstImage),
DataPart('image/jpeg', secondImage),
];
final response = await model.generateContent([
Content.multi([prompt, ...imageParts])
]);
// 请求返回
return response.text;
}

代码

https://github.com/ducafecat/flutter_develop_tips/tree/main/flutter_application_gemini

小结

感谢阅读本文

如果有什么建议,请在评论中让我知道。我很乐意改进。

flutter 学习路径

© 猫哥 ducafecat.com

end

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Ducafecat
Ducafecat

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