1018 lines
31 KiB
Dart
1018 lines
31 KiB
Dart
import 'dart:convert';
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import 'dart:io';
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import 'package:SEFER/controller/functions/crud.dart';
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import 'package:get/get.dart';
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import 'package:image_cropper/image_cropper.dart';
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import 'package:image_picker/image_picker.dart';
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import 'package:http/http.dart' as http;
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import 'package:image/image.dart' as img;
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import 'package:path_provider/path_provider.dart';
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import '../../constant/api_key.dart';
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import '../../constant/colors.dart';
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import 'upload_image.dart';
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class AI extends GetxController {
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final picker = ImagePicker();
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Map<String, dynamic> responseMap = {};
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Map<String, dynamic> responseCarLicenseMap = {};
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Map<String, dynamic> responseBackCarLicenseMap = {};
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Map<String, dynamic> responseIdCardMap = {};
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Map<String, dynamic> responseIdCardDriverEgyptBack = {};
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Map<String, dynamic> responseIdCardDriverEgyptFront = {};
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Map<String, dynamic> responseIdEgyptFront = {};
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Map<String, dynamic> responseIdEgyptBack = {};
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Map<String, dynamic> responseIdEgyptDriverLicense = {};
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String? responseIdCardDriverEgypt1;
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bool isloading = false;
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var image;
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CroppedFile? croppedFile;
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DateTime now = DateTime.now();
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Future<void> pickImage() async {
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final pickedImage = await picker.pickImage(source: ImageSource.gallery);
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if (pickedImage != null) {
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image = File(pickedImage.path);
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// Crop the image
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croppedFile = await ImageCropper().cropImage(
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sourcePath: image!.path,
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aspectRatioPresets: [
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CropAspectRatioPreset.square,
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CropAspectRatioPreset.ratio3x2,
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CropAspectRatioPreset.original,
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CropAspectRatioPreset.ratio4x3,
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CropAspectRatioPreset.ratio16x9
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],
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uiSettings: [
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AndroidUiSettings(
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toolbarTitle: 'Cropper'.tr,
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toolbarColor: AppColor.blueColor,
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toolbarWidgetColor: AppColor.yellowColor,
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initAspectRatio: CropAspectRatioPreset.original,
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lockAspectRatio: false),
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IOSUiSettings(
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title: 'Cropper'.tr,
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),
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],
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);
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// image = croppedFile;
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// Resize the image
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final rawImage =
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img.decodeImage(File(croppedFile!.path).readAsBytesSync());
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final resizedImage =
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img.copyResize(rawImage!, width: 800); // Adjust the width as needed
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final appDir = await getTemporaryDirectory();
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final resizedImagePath = '${appDir.path}/resized_image.jpg';
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final resizedImageFile = File(resizedImagePath);
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resizedImageFile.writeAsBytesSync(
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img.encodeJpg(resizedImage)); // Save the resized image as JPEG
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image = resizedImageFile;
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update();
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}
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}
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bool isLoading = false;
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Future allMethodForAI(String prompt, linkPHP, imagePath) async {
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isLoading = true;
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update();
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await ImageController().choosImage(linkPHP, imagePath);
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Future.delayed(const Duration(seconds: 2));
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var extractedString =
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await CRUD().arabicTextExtractByVisionAndAI(imagePath: imagePath);
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// print(extractedString);
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var json = jsonDecode(extractedString);
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var textValues = CRUD().extractTextFromLines(json);
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print(textValues);
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// await Get.put(AI()).geminiAiExtraction(prompt, textValues);
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await Get.put(AI()).anthropicAI(textValues, prompt, imagePath);
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isLoading = false;
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update();
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}
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Future<void> generateContent() async {
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await pickImage();
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if (image != null) {
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final imageBytes = await image.readAsBytes();
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final imageData = base64Encode(imageBytes);
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var requestBody = jsonEncode({
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'contents': [
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{
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'parts': [
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{
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'inlineData': {
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'mimeType': 'image/jpeg',
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'data': imageData,
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},
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},
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{
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'text':
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'write json for all data as first name ,last name,dob,licenseID,expiration date,issued date asdress class type ,output json type',
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},
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],
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},
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],
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'generationConfig': {
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'temperature': 0.4,
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'topK': 32,
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'topP': 1,
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'maxOutputTokens': 4096,
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'stopSequences': [],
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},
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'safetySettings': [
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{
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'category': 'HARM_CATEGORY_HARASSMENT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_HATE_SPEECH',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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],
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});
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print(requestBody);
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final response = await http.post(
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Uri.parse(
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'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${AK.geminiApi}'),
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headers: {'Content-Type': 'application/json'},
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body: requestBody,
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);
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if (response.statusCode == 200) {
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var responseData = jsonDecode(response.body);
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// Process the responseData as needed
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// print(responseData);
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var result =
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responseData['candidates'][0]['content']['parts'][0]['text'];
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// print(jsonEncode(result));
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// print((result));
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// print(result['dob']);
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RegExp regex = RegExp(r"```json([^`]*)```");
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String? jsonString =
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regex.firstMatch(responseData.toString())?.group(1)?.trim();
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if (jsonString != null) {
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// Convert the JSON object to a String
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jsonString = jsonEncode(json.decode(jsonString));
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print(jsonString);
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} else {
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print("JSON string not found");
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}
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// Rest of your code...
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} else {
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print('Request failed with status: ${response.statusCode}');
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print('Request failed with status: ${response.body}');
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}
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} else {
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print('No image selected');
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}
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}
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Future<dynamic> anthropicAI(
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String payload, String prompt, String idType) async {
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var messagesData = [
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "$payload $prompt"}
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]
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}
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];
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var requestBody = jsonEncode({
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"model": "claude-3-haiku-20240307",
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"max_tokens": 1024,
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"temperature": 0,
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"system": "Json output only without any additional ",
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"messages": messagesData,
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});
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print('requestBody');
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print(requestBody);
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final response = await http.post(
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Uri.parse('https://api.anthropic.com/v1/messages'),
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headers: {
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'x-api-key':
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'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',
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'anthropic-version': '2023-06-01',
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'content-type': 'application/json'
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},
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body: requestBody,
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);
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if (response.statusCode == 200) {
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var responseData = jsonDecode(utf8.decode(response.bodyBytes));
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// Process the responseData as needed
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print(utf8.decode(response.bodyBytes));
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if (idType == 'car_back') {
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responseIdCardDriverEgyptBack =
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jsonDecode(responseData['content'][0]['text']);
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print(responseIdCardDriverEgyptBack);
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} else if (idType == 'car_front') {
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responseIdCardDriverEgyptFront =
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jsonDecode(responseData['content'][0]['text']);
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print(responseIdCardDriverEgyptFront);
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} else if (idType == 'id_front') {
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responseIdEgyptFront = jsonDecode(responseData['content'][0]['text']);
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print(responseIdEgyptFront);
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} else if (idType == 'id_back') {
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responseIdEgyptBack = jsonDecode(responseData['content'][0]['text']);
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print(responseIdEgyptBack);
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} else if (idType == 'driver_license') {
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responseIdEgyptDriverLicense =
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jsonDecode(responseData['content'][0]['text']);
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print(responseIdEgyptDriverLicense);
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}
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update();
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return responseData.toString();
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}
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return responseIdCardDriverEgyptBack.toString();
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}
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Future<void> geminiAiExtraction(String prompt, payload) async {
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var requestBody = jsonEncode({
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"contents": [
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{
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"parts": [
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{"text": "$payload $prompt"}
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]
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}
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],
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"generationConfig": {
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"temperature": 1,
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"topK": 64,
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"topP": 0.95,
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"maxOutputTokens": 8192,
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"stopSequences": []
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},
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"safetySettings": [
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{
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"category": "HARM_CATEGORY_HARASSMENT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE"
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},
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{
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"category": "HARM_CATEGORY_HATE_SPEECH",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE"
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},
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{
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"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE"
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},
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{
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"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE"
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}
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]
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});
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// print(requestBody);
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final response = await http.post(
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Uri.parse(
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// 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${AK.geminiApi}'),
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// 'https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-pro-latest:generateContent?key=${AK.geminiApi}'),
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'https://generativelanguage.googleapis.com/v1beta/models/gemini-1.0-pro:generateContent?key=${AK.geminiApi}'),
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headers: {'Content-Type': 'application/json'},
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body: requestBody,
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);
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if (response.statusCode == 200) {
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var responseData = jsonDecode(response.body);
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// Process the responseData as needed
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// print(responseData);
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var result = responseData['candidates'][0]['content']['parts'][0]['text'];
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// print(jsonEncode(result));
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// print((result));
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// print(result['dob']);
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RegExp regex = RegExp(r"```json([^`]*)```");
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String? jsonString =
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regex.firstMatch(responseData.toString())?.group(1)?.trim();
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if (jsonString != null) {
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// Convert the JSON object to a String
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jsonString = jsonEncode(json.decode(jsonString));
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responseIdCardDriverEgyptBack = jsonDecode(jsonString);
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print(responseIdCardDriverEgyptBack);
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update();
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} else {
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print("JSON string not found");
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}
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// Rest of your code...
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} else {
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print('Request failed with status: ${response.statusCode}');
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print('Request failed with status: ${response.body}');
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}
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}
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Future<void> getDriverLicenseJordanContent() async {
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await pickImage();
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isloading = true;
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update();
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if (image != null) {
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final imageBytes = await image.readAsBytes();
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final imageData = base64Encode(imageBytes);
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var requestBody = jsonEncode({
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'contents': [
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{
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'parts': [
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{
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'inlineData': {
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'mimeType': 'image/jpeg',
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'data': imageData,
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},
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},
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{
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'text':
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'write json for all data as first name ,last name,dob,id ,expiration date,issued date asdress class type,age in years ,output json type in arabic value and stay engish key and make date format like YYYY-MM-DD , for name please extract name in arabic in Name in json plus first_name ',
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},
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],
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},
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],
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'generationConfig': {
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'temperature': 0.4,
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'topK': 32,
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'topP': 1,
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'maxOutputTokens': 4096,
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'stopSequences': [],
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},
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'safetySettings': [
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{
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'category': 'HARM_CATEGORY_HARASSMENT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_HATE_SPEECH',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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],
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});
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print(requestBody);
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final response = await http.post(
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Uri.parse(
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'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${AK.geminiApi}'),
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headers: {'Content-Type': 'application/json'},
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body: requestBody,
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);
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isloading = false;
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update();
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if (response.statusCode == 200) {
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var responseData = jsonDecode(response.body);
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// Process the responseData as needed
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// print(responseData);
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var result =
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responseData['candidates'][0]['content']['parts'][0]['text'];
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// print(jsonEncode(result));
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// print((result));
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// print(result['dob']);
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RegExp regex = RegExp(r"```json([^`]*)```");
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String? jsonString =
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regex.firstMatch(responseData.toString())?.group(1)?.trim();
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if (jsonString != null) {
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// Convert the JSON object to a String
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jsonString = jsonEncode(json.decode(jsonString));
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responseMap = jsonDecode(jsonString);
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print(jsonString);
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print(responseMap);
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print(responseMap['dob']);
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} else {
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print("JSON string not found");
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}
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// Rest of your code...
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} else {
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print('Request failed with status: ${response.statusCode}');
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print('Request failed with status: ${response.body}');
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}
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} else {
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print('No image selected');
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}
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}
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Future<void> getCarLicenseJordanContent() async {
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await pickImage();
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isloading = true;
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update();
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if (image != null) {
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final imageBytes = await image.readAsBytes();
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final imageData = base64Encode(imageBytes);
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var requestBody = jsonEncode({
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'contents': [
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{
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'parts': [
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{
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'inlineData': {
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'mimeType': 'image/jpeg',
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'data': imageData,
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},
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},
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{
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'text':
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'''Extract the following information from the front face of the Jordanian ID card:
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Name
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National ID number
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Gender
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Date of birth
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Output the extracted information in the following JSON format''',
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},
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],
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},
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],
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'generationConfig': {
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'temperature': 0.4,
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'topK': 32,
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'topP': 1,
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'maxOutputTokens': 4096,
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'stopSequences': [],
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},
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'safetySettings': [
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{
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'category': 'HARM_CATEGORY_HARASSMENT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_HATE_SPEECH',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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{
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'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',
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'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
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},
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],
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});
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print(requestBody);
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final response = await http.post(
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Uri.parse(
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// 'https://${API_ENDPOINT}/v1/projects/${PROJECT_ID}/locations/${LOCATION_ID}/publishers/google/models/${MODEL_ID}:streamGenerateContent'),
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'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${AK.geminiApi}'),
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headers: {'Content-Type': 'application/json'},
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body: requestBody,
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);
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isloading = false;
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update();
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if (response.statusCode == 200) {
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var responseData = jsonDecode(response.body);
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// Process the responseData as needed
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// print(responseData);
|
|
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var result =
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responseData['candidates'][0]['content']['parts'][0]['text'];
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// print(jsonEncode(result));
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// print((result));
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// print(result['dob']);
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RegExp regex = RegExp(r"```json([^`]*)```");
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String? jsonString =
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regex.firstMatch(responseData.toString())?.group(1)?.trim();
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|
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if (jsonString != null) {
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// Convert the JSON object to a String
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jsonString = jsonEncode(json.decode(jsonString));
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responseCarLicenseMap = jsonDecode(jsonString);
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print(jsonString);
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print(responseCarLicenseMap);
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print(responseCarLicenseMap['plate_number']);
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} else {
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print("JSON string not found");
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}
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|
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// Rest of your code...
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} else {
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print('Request failed with status: ${response.statusCode}');
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print('Request failed with status: ${response.body}');
|
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}
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} else {
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print('No image selected');
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}
|
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}
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Future<void> jordanID() async {
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await pickImage();
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isloading = true;
|
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update();
|
|
if (image != null) {
|
|
final imageBytes = await image.readAsBytes();
|
|
final imageData = base64Encode(imageBytes);
|
|
|
|
var requestBody = jsonEncode({
|
|
'contents': [
|
|
{
|
|
'parts': [
|
|
{
|
|
'inlineData': {
|
|
'mimeType': 'image/jpeg',
|
|
'data': imageData,
|
|
},
|
|
},
|
|
{
|
|
'text':
|
|
'''Extract the following information from the front face of the Jordanian ID card:
|
|
Name
|
|
National ID number
|
|
Gender
|
|
Date of birth
|
|
Output the extracted information in the following JSON format''',
|
|
},
|
|
],
|
|
},
|
|
],
|
|
'generationConfig': {
|
|
'temperature': 0.4,
|
|
'topK': 32,
|
|
'topP': 1,
|
|
'maxOutputTokens': 4096,
|
|
'stopSequences': [],
|
|
},
|
|
'safetySettings': [
|
|
{
|
|
'category': 'HARM_CATEGORY_HARASSMENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_HATE_SPEECH',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
],
|
|
});
|
|
print(requestBody);
|
|
|
|
final response = await http.post(
|
|
Uri.parse(
|
|
'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${AK.geminiApi}'),
|
|
headers: {'Content-Type': 'application/json'},
|
|
body: requestBody,
|
|
);
|
|
isloading = false;
|
|
update();
|
|
if (response.statusCode == 200) {
|
|
var responseData = jsonDecode(response.body);
|
|
// Process the responseData as needed
|
|
// print(responseData);
|
|
|
|
var result =
|
|
responseData['candidates'][0]['content']['parts'][0]['text'];
|
|
// print(jsonEncode(result));
|
|
// print((result));
|
|
// print(result['dob']);
|
|
RegExp regex = RegExp(r"```json([^`]*)```");
|
|
String? jsonString =
|
|
regex.firstMatch(responseData.toString())?.group(1)?.trim();
|
|
|
|
if (jsonString != null) {
|
|
// Convert the JSON object to a String
|
|
jsonString = jsonEncode(json.decode(jsonString));
|
|
responseCarLicenseMap = jsonDecode(jsonString);
|
|
print(jsonString);
|
|
print(responseCarLicenseMap);
|
|
print(responseCarLicenseMap['plate_number']);
|
|
} else {
|
|
print("JSON string not found");
|
|
}
|
|
|
|
// Rest of your code...
|
|
} else {
|
|
print('Request failed with status: ${response.statusCode}');
|
|
print('Request failed with status: ${response.body}');
|
|
}
|
|
} else {
|
|
print('No image selected');
|
|
}
|
|
}
|
|
|
|
Future<void> carLicenseJordan() async {
|
|
await pickImage();
|
|
isloading = true;
|
|
update();
|
|
if (image != null) {
|
|
final imageBytes = await image.readAsBytes();
|
|
final imageData = base64Encode(imageBytes);
|
|
|
|
var requestBody = jsonEncode({
|
|
'contents': [
|
|
{
|
|
'parts': [
|
|
{
|
|
'inlineData': {
|
|
'mimeType': 'image/jpeg',
|
|
'data': imageData,
|
|
},
|
|
},
|
|
{
|
|
'text':
|
|
'''Extract the following information from the front face of the car license card in Jordan:
|
|
|
|
* name
|
|
* Address
|
|
* Vehicle type
|
|
* car_kind
|
|
* car_color
|
|
* Vehicle category
|
|
* car_year
|
|
* car_plate
|
|
* Registration type
|
|
* Usage type
|
|
* expire_date_of_license
|
|
|
|
Output the extracted information in the following JSON formate and make date format like YYYY-MM-DD''',
|
|
},
|
|
],
|
|
},
|
|
],
|
|
'generationConfig': {
|
|
'temperature': 0.4,
|
|
'topK': 32,
|
|
'topP': 1,
|
|
'maxOutputTokens': 4096,
|
|
'stopSequences': [],
|
|
},
|
|
'safetySettings': [
|
|
{
|
|
'category': 'HARM_CATEGORY_HARASSMENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_HATE_SPEECH',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
],
|
|
});
|
|
print(requestBody);
|
|
|
|
final response = await http.post(
|
|
Uri.parse(
|
|
'https://generativelanguage.googleapis.com/v1beta/models/gemini-1.0-pro-vision-latest:generateContent?key=${AK.geminiApi}'),
|
|
headers: {'Content-Type': 'application/json'},
|
|
body: requestBody,
|
|
);
|
|
isloading = false;
|
|
update();
|
|
if (response.statusCode == 200) {
|
|
var responseData = jsonDecode(response.body);
|
|
// Process the responseData as needed
|
|
// print(responseData);
|
|
|
|
var result =
|
|
responseData['candidates'][0]['content']['parts'][0]['text'];
|
|
// print(jsonEncode(result));
|
|
// print((result));
|
|
// print(result['dob']);
|
|
RegExp regex = RegExp(r"```json([^`]*)```");
|
|
String? jsonString =
|
|
regex.firstMatch(responseData.toString())?.group(1)?.trim();
|
|
|
|
if (jsonString != null) {
|
|
// Convert the JSON object to a String
|
|
jsonString = jsonEncode(json.decode(jsonString));
|
|
responseCarLicenseMap = jsonDecode(jsonString);
|
|
print(jsonString);
|
|
print(responseCarLicenseMap);
|
|
print(responseCarLicenseMap['plate_number']);
|
|
} else {
|
|
print("JSON string not found");
|
|
}
|
|
|
|
// Rest of your code...
|
|
} else {
|
|
print('Request failed with status: ${response.statusCode}');
|
|
print('Request failed with status: ${response.body}');
|
|
}
|
|
} else {
|
|
print('No image selected');
|
|
}
|
|
}
|
|
|
|
Future getTextFromCard(String prompt) async {
|
|
await pickImage();
|
|
isloading = true;
|
|
update();
|
|
if (image != null) {
|
|
final imageBytes = await image.readAsBytes();
|
|
final imageData = base64Encode(imageBytes);
|
|
|
|
var requestBody = jsonEncode({
|
|
'contents': [
|
|
{
|
|
'parts': [
|
|
{
|
|
'inlineData': {
|
|
'mimeType': 'image/jpeg',
|
|
'data': imageData,
|
|
},
|
|
},
|
|
{
|
|
'text': prompt,
|
|
},
|
|
],
|
|
},
|
|
],
|
|
'generationConfig': {
|
|
"temperature": 1,
|
|
"topK": 32,
|
|
"topP": 0.1,
|
|
"maxOutputTokens": 4096,
|
|
"stopSequences": []
|
|
},
|
|
'safetySettings': [
|
|
{
|
|
'category': 'HARM_CATEGORY_HARASSMENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_HATE_SPEECH',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
],
|
|
});
|
|
print(requestBody);
|
|
|
|
final response = await http.post(
|
|
Uri.parse(
|
|
'https://generativelanguage.googleapis.com/v1beta/models/gemini-1.0-pro-vision-latest:generateContent?key=${AK.geminiApi}'),
|
|
headers: {'Content-Type': 'application/json'},
|
|
body: requestBody,
|
|
);
|
|
isloading = false;
|
|
update();
|
|
if (response.statusCode == 200) {
|
|
var responseData = jsonDecode(response.body);
|
|
// Process the responseData as needed
|
|
// print(responseData);
|
|
|
|
var result =
|
|
responseData['candidates'][0]['content']['parts'][0]['text'];
|
|
// print(jsonEncode(result));
|
|
// print((result));
|
|
// print(result['dob']);
|
|
RegExp regex = RegExp(r"```json([^`]*)```");
|
|
String? jsonString =
|
|
regex.firstMatch(responseData.toString())?.group(1)?.trim();
|
|
|
|
if (jsonString != null) {
|
|
// Convert the JSON object to a String
|
|
jsonString = jsonEncode(json.decode(jsonString));
|
|
responseBackCarLicenseMap = jsonDecode(jsonString);
|
|
// print(jsonString);
|
|
print(responseBackCarLicenseMap);
|
|
// print(responseCarLicenseMap['plate_number']);
|
|
} else {
|
|
print("JSON string not found");
|
|
}
|
|
|
|
// Rest of your code...
|
|
} else {
|
|
print('Request failed with status: ${response.statusCode}');
|
|
print('Request failed with status: ${response.body}');
|
|
}
|
|
} else {
|
|
print('No image selected');
|
|
}
|
|
}
|
|
|
|
Future<void> generateBackCarLicenseJordanContent() async {
|
|
await pickImage();
|
|
isloading = true;
|
|
update();
|
|
if (image != null) {
|
|
final imageBytes = await image.readAsBytes();
|
|
final imageData = base64Encode(imageBytes);
|
|
|
|
var requestBody = jsonEncode({
|
|
'contents': [
|
|
{
|
|
'parts': [
|
|
{
|
|
'inlineData': {
|
|
'mimeType': 'image/jpeg',
|
|
'data': imageData,
|
|
},
|
|
},
|
|
{
|
|
'text':
|
|
'write json output from extracting car license back face for these key ,vin,fuelType,passengerType,curbWeight,insuranceCompany,policyNumber,notes,insuranceType and output it json .dont add data else this image',
|
|
},
|
|
],
|
|
},
|
|
],
|
|
'generationConfig': {
|
|
'temperature': 0.4,
|
|
'topK': 343,
|
|
'topP': 1,
|
|
'maxOutputTokens': 4096,
|
|
'stopSequences': [],
|
|
},
|
|
'safetySettings': [
|
|
{
|
|
'category': 'HARM_CATEGORY_HARASSMENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_HATE_SPEECH',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
],
|
|
});
|
|
print(requestBody);
|
|
|
|
final response = await http.post(
|
|
Uri.parse(
|
|
'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${AK.geminiApi}'),
|
|
headers: {'Content-Type': 'application/json'},
|
|
body: requestBody,
|
|
);
|
|
isloading = false;
|
|
update();
|
|
if (response.statusCode == 200) {
|
|
var responseData = jsonDecode(response.body);
|
|
// Process the responseData as needed
|
|
// print(responseData);
|
|
|
|
var result =
|
|
responseData['candidates'][0]['content']['parts'][0]['text'];
|
|
// print(jsonEncode(result));
|
|
// print((result));
|
|
// print(result['dob']);
|
|
RegExp regex = RegExp(r"```json([^`]*)```");
|
|
String? jsonString =
|
|
regex.firstMatch(responseData.toString())?.group(1)?.trim();
|
|
|
|
if (jsonString != null) {
|
|
// Convert the JSON object to a String
|
|
jsonString = jsonEncode(json.decode(jsonString));
|
|
responseBackCarLicenseMap = jsonDecode(jsonString);
|
|
// print(jsonString);
|
|
print(responseBackCarLicenseMap);
|
|
// print(responseCarLicenseMap['plate_number']);
|
|
} else {
|
|
print("JSON string not found");
|
|
}
|
|
|
|
// Rest of your code...
|
|
} else {
|
|
print('Request failed with status: ${response.statusCode}');
|
|
print('Request failed with status: ${response.body}');
|
|
}
|
|
} else {
|
|
print('No image selected');
|
|
}
|
|
}
|
|
|
|
Future<void> getFromCarRegistration() async {
|
|
await pickImage();
|
|
if (image != null) {
|
|
final imageBytes = await image.readAsBytes();
|
|
final imageData = base64Encode(imageBytes);
|
|
|
|
var requestBody = jsonEncode({
|
|
'contents': [
|
|
{
|
|
'parts': [
|
|
{
|
|
'inlineData': {
|
|
'mimeType': 'image/jpeg',
|
|
'data': imageData,
|
|
},
|
|
},
|
|
{
|
|
'text':
|
|
'write output json from image for[ vin, make, model, year, expiration_date, color, owner, registration_date ],output json type ',
|
|
},
|
|
],
|
|
},
|
|
],
|
|
'generationConfig': {
|
|
'temperature': 0.4,
|
|
'topK': 32,
|
|
'topP': 1,
|
|
'maxOutputTokens': 4096,
|
|
'stopSequences': [],
|
|
},
|
|
'safetySettings': [
|
|
{
|
|
'category': 'HARM_CATEGORY_HARASSMENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_HATE_SPEECH',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
{
|
|
'category': 'HARM_CATEGORY_DANGEROUS_CONTENT',
|
|
'threshold': 'BLOCK_MEDIUM_AND_ABOVE',
|
|
},
|
|
],
|
|
});
|
|
print(requestBody);
|
|
|
|
final response = await http.post(
|
|
Uri.parse(
|
|
'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${AK.geminiApi}'),
|
|
headers: {'Content-Type': 'application/json'},
|
|
body: requestBody,
|
|
);
|
|
|
|
if (response.statusCode == 200) {
|
|
var responseData = jsonDecode(response.body);
|
|
// Process the responseData as needed
|
|
var result =
|
|
responseData['candidates'][0]['content']['parts'][0]['text'];
|
|
print(result);
|
|
RegExp regex = RegExp(r"```json([^`]*)```");
|
|
String? jsonString =
|
|
regex.firstMatch(responseData.toString())?.group(1)?.trim();
|
|
|
|
if (jsonString != null) {
|
|
// Convert the JSON object to a String
|
|
jsonString = jsonEncode(json.decode(jsonString));
|
|
print(jsonString);
|
|
} else {
|
|
print("JSON string not found");
|
|
}
|
|
|
|
// Rest of your code...
|
|
} else {
|
|
print('Request failed with status: ${response.statusCode}');
|
|
print('Request failed with status: ${response.body}');
|
|
}
|
|
} else {
|
|
print('No image selected');
|
|
}
|
|
}
|
|
|
|
@override
|
|
void onInit() {
|
|
// generateContent();
|
|
super.onInit();
|
|
}
|
|
}
|