flutter_ai_scanner

Description:

flutter ai scanner

flutter_ai_scanner #
INIT #
void main() async {
AiFoodScanner.init(
key: "OPEN_AI_GPT_KEY",
organization: "OPEN_AI_GPT_ORGANIZATION",
);
// ...
}
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DATA MODEL #
class AiFoodData {
final double? calorie;
final String? name;

const AiFoodData({
this.calorie,
this.name,
});

factory AiFoodData.from(Object? source) {
final data = source is Map<String, dynamic> ? source : {};
final calorie = data["calorie"];
final name = data["name"];
return AiFoodData(
calorie: calorie is num ? calorie.toDouble() : null,
name: name is String ? name : null,
);
}

Map<String, dynamic> get source {
return {
"calorie": calorie,
"name": name,
};
}
}

class AiNutritionData {
final double? calorie;
final List<AiFoodData>? items;

const AiNutritionData({
this.calorie,
this.items,
});

factory AiNutritionData.from(Object? source) {
final data = source is Map<String, dynamic> ? source : {};
final calorie = data["calorie"];
final items = data["items"];
return AiNutritionData(
calorie: calorie is num ? calorie.toDouble() : null,
items: items is List ? items.map((AiFoodData.from)).toList() : null,
);
}

factory AiNutritionData.sample() {
final items = [
const AiFoodData(name: "Mango", calorie: 34.0),
const AiFoodData(name: "Orange", calorie: 21.3)
];
return AiNutritionData(
calorie: 0.0,
items: items,
);
}

Map<String, dynamic> get source {
return {
"calorie": calorie,
"items": items?.map((e) => e.source),
};
}
}
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AI_SCANNER #
import 'package:flutter_ai_scanner/flutter_ai_scanner.dart';

class AiFoodScanner extends AiScanner {
const AiFoodScanner({
required super.key,
super.organization,
});

static AiFoodScanner? _i;

static AiFoodScanner get i {
if (_i != null) {
return _i!;
} else {
throw UnimplementedError("AiFoodScanner not initialized yet!");
}
}

static void init({
required String key,
String? organization,
}) {
_i = AiFoodScanner(
key: key,
organization: organization,
);
}

Future<AiResponse<AiNutritionData>> scan(String url) {
final json = AiNutritionData.sample().source;
return execute(AiRequest<AiNutritionData>.scan(
category: "food",
preconditions: "nutrition information",
sample: json,
url: url,
builder: AiNutritionData.from,
n: 3,
));
}
}
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SCAN IMAGE #
Future<AiResponse<AiNutritionData>> scanData(String imageUrl){
return AiFoodScanner.i.scan(imageUrl);
}
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