flutter_4ai

Description:

flutter 4ai

1. Flutter Example


Create a Flutter Package: Package your WebView 4AI chat code into a Flutter package that developers can install via pub.dev.


Installation: Developers would add your package in their pubspec.yaml:
yaml
dependencies:
flutter_4ai: ^0.0.4


Usage: After installation, they can integrate your chat component like so:
import 'package:flutter_4ai/flutter_4ai.dart';

void main() => runApp(MyApp());

class MyApp extends StatelessWidget {
const siteId = "your_site_id"; // Replace this with your actual dynamic siteId

@override
Widget build(BuildContext context) {
return MaterialApp(
home: ChatComponent(siteId: siteId),
);
}
}


*Inside your SDK (Flutter Package):*

dart
// ChatComponent.dart inside the package
import 'package:flutter/material.dart';
import 'package:webview_flutter/webview_flutter.dart';

class ChatComponent extends StatelessWidget {
final String siteId;

ChatComponent({required this.siteId});

@override
Widget build(BuildContext context) {

return Scaffold(
appBar: AppBar(
title: Text('4AI'),
),
body: SafeArea(
minimum: const EdgeInsets.all(0.0),
child: ChatComponent(
siteId: siteId,
)));
}
}
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Summary: #

Pre-Packaged SDK: Provide your chat functionality as a pre-packaged SDK or library for each platform. This makes the integration process very similar to how developers are accustomed to adding third-party functionalities.
Ease of Use: By simply installing a package and using a provided component or activity, developers can easily integrate your chat solution without needing to deal with lengthy or complex code snippets.
Platform-Specific Packages: Tailor the distribution method to each platform, such as npm for React Native, Maven for Android, CocoaPods for iOS, and pub.dev for Flutter.