12/22/1

lib/controller/auth/captin/ml_google_doc.dart

@@ -1,93 +1,93 @@
 import 'dart:io';
 
 import 'package:get/get.dart';
-import 'package:google_mlkit_text_recognition/google_mlkit_text_recognition.dart';
+// import 'package:google_mlkit_text_recognition/google_mlkit_text_recognition.dart';
 import 'package:image_cropper/image_cropper.dart';
 import 'package:image_picker/image_picker.dart';
 import 'package:sefer_driver/constant/colors.dart';
 import 'package:sefer_driver/controller/functions/llama_ai.dart';
 
-class CarRegistrationRecognizerController extends GetxController {
-  @override
-  void onInit() {
-    // scanText();
-    super.onInit();
-  }
+// class CarRegistrationRecognizerController extends GetxController {
+//   @override
+//   void onInit() {
+//     // scanText();
+//     super.onInit();
+//   }
 
-  // The ImagePicker instance
-  final ImagePicker _imagePicker = ImagePicker();
+//   // The ImagePicker instance
+//   final ImagePicker _imagePicker = ImagePicker();
 
-  // The GoogleMlKit TextRecognizer instance
-  final TextRecognizer _textRecognizer = TextRecognizer();
+//   // The GoogleMlKit TextRecognizer instance
+//   // final TextRecognizer _textRecognizer = TextRecognizer();
 
-  // The scanned text
-  String? scannedText;
-  String? jsonOutput;
-  final List<Map<String, dynamic>> lines = [];
-  Map extracted = {};
-  XFile? image;
-  CroppedFile? croppedFile;
-  // Picks an image from the camera or gallery and extracts the text
-  final List<Map<String, dynamic>> extractedTextWithCoordinates = [];
+//   // The scanned text
+//   String? scannedText;
+//   String? jsonOutput;
+//   final List<Map<String, dynamic>> lines = [];
+//   Map extracted = {};
+//   XFile? image;
+//   CroppedFile? croppedFile;
+//   // Picks an image from the camera or gallery and extracts the text
+//   final List<Map<String, dynamic>> extractedTextWithCoordinates = [];
 
-  Future<void> scanText() async {
-    // Pick an image from the camera or gallery
-    image = await _imagePicker.pickImage(source: ImageSource.gallery);
-    update();
+//   Future<void> scanText() async {
+//     // Pick an image from the camera or gallery
+//     image = await _imagePicker.pickImage(source: ImageSource.gallery);
+//     update();
 
-    // If no image was picked, return
-    if (image == null) {
-      return;
-    }
+//     // If no image was picked, return
+//     if (image == null) {
+//       return;
+//     }
 
-    // Crop the image
-    croppedFile = await ImageCropper().cropImage(
-      sourcePath: image!.path,
-      //
-      uiSettings: [
-        AndroidUiSettings(
-            toolbarTitle: 'Cropper'.tr,
-            toolbarColor: AppColor.blueColor,
-            toolbarWidgetColor: AppColor.yellowColor,
-            initAspectRatio: CropAspectRatioPreset.original,
-            lockAspectRatio: false),
-        IOSUiSettings(
-          title: 'Cropper'.tr,
-        ),
-      ],
-    );
+//     // Crop the image
+//     croppedFile = await ImageCropper().cropImage(
+//       sourcePath: image!.path,
+//       //
+//       uiSettings: [
+//         AndroidUiSettings(
+//             toolbarTitle: 'Cropper'.tr,
+//             toolbarColor: AppColor.blueColor,
+//             toolbarWidgetColor: AppColor.yellowColor,
+//             initAspectRatio: CropAspectRatioPreset.original,
+//             lockAspectRatio: false),
+//         IOSUiSettings(
+//           title: 'Cropper'.tr,
+//         ),
+//       ],
+//     );
 
-    // If no cropped image was obtained, return
-    if (croppedFile == null) {
-      return;
-    }
+//     // If no cropped image was obtained, return
+//     if (croppedFile == null) {
+//       return;
+//     }
 
-    // Convert the cropped file to an InputImage object
-    final InputImage inputImage = InputImage.fromFile(File(croppedFile!.path));
+//     // Convert the cropped file to an InputImage object
+//     final InputImage inputImage = InputImage.fromFile(File(croppedFile!.path));
 
-    // Recognize the text in the image
-    final RecognizedText recognizedText =
-        await _textRecognizer.processImage(inputImage);
-    scannedText = recognizedText.text;
+//     // Recognize the text in the image
+//     final RecognizedText recognizedText =
+//         await _textRecognizer.processImage(inputImage);
+//     scannedText = recognizedText.text;
 
-    // Extract the scanned text line by line
-    final List<Map<String, dynamic>> lines = [];
-    for (var i = 0; i < recognizedText.blocks.length; i++) {
-      lines.add({
-        i.toString(): recognizedText.blocks[i].text,
-      });
-    }
+//     // Extract the scanned text line by line
+//     final List<Map<String, dynamic>> lines = [];
+//     for (var i = 0; i < recognizedText.blocks.length; i++) {
+//       lines.add({
+//         i.toString(): recognizedText.blocks[i].text,
+//       });
+//     }
 
-    String result = lines.map((map) => map.values.first.toString()).join(' ');
-    if (result.length > 2200) {
-      result = result.substring(0, 2200);
-    }
-    Map result2 = await LlamaAi().getCarRegistrationData(result,
-        'vin,make,made,year,expiration_date,color,owner,registration_date'); //
+//     String result = lines.map((map) => map.values.first.toString()).join(' ');
+//     if (result.length > 2200) {
+//       result = result.substring(0, 2200);
+//     }
+//     Map result2 = await LlamaAi().getCarRegistrationData(result,
+//         'vin,make,made,year,expiration_date,color,owner,registration_date'); //
 
-    // Assign the result to the extracted variable
-    extracted = result2;
+//     // Assign the result to the extracted variable
+//     extracted = result2;
 
-    update();
-  }
-}
+//     update();
+//   }
+// }