import 'dart:convert'; import 'dart:developer'; import 'dart:io'; import 'package:get/get.dart'; import 'package:image_cropper/image_cropper.dart'; import 'package:image_picker/image_picker.dart'; import 'package:http/http.dart' as http; import 'package:image/image.dart' as img; import 'package:path_provider/path_provider.dart'; import '../../constant/api_key.dart'; import '../../constant/colors.dart'; class AI extends GetxController { final picker = ImagePicker(); Map responseMap = {}; Map responseCarLicenseMap = {}; Map responseBackCarLicenseMap = {}; Map responseIdCardeMap = {}; bool isloading = false; var image; CroppedFile? croppedFile; DateTime now = DateTime.now(); Future pickImage() async { final pickedImage = await picker.pickImage(source: ImageSource.gallery); if (pickedImage != null) { image = File(pickedImage.path); // Crop the image croppedFile = await ImageCropper().cropImage( sourcePath: image!.path, aspectRatioPresets: [ CropAspectRatioPreset.square, CropAspectRatioPreset.ratio3x2, CropAspectRatioPreset.original, CropAspectRatioPreset.ratio4x3, CropAspectRatioPreset.ratio16x9 ], uiSettings: [ AndroidUiSettings( toolbarTitle: 'Cropper'.tr, toolbarColor: AppColor.blueColor, toolbarWidgetColor: AppColor.yellowColor, initAspectRatio: CropAspectRatioPreset.original, lockAspectRatio: false), IOSUiSettings( title: 'Cropper'.tr, ), ], ); // image = croppedFile; // Resize the image final rawImage = img.decodeImage(File(croppedFile!.path).readAsBytesSync()); final resizedImage = img.copyResize(rawImage!, width: 800); // Adjust the width as needed final appDir = await getTemporaryDirectory(); final resizedImagePath = '${appDir.path}/resized_image.jpg'; final resizedImageFile = File(resizedImagePath); resizedImageFile.writeAsBytesSync( img.encodeJpg(resizedImage)); // Save the resized image as JPEG image = resizedImageFile; update(); } } Future generateContent() async { await pickImage(); if (image != null) { final imageBytes = await image.readAsBytes(); final imageData = base64Encode(imageBytes); var requestBody = jsonEncode({ 'contents': [ { 'parts': [ { 'inlineData': { 'mimeType': 'image/jpeg', 'data': imageData, }, }, { 'text': 'write json for all data as first name ,last name,dob,licenseID,expiration date,issued date asdress class type ,output json type', }, ], }, ], 'generationConfig': { 'temperature': 0.4, 'topK': 32, 'topP': 1, 'maxOutputTokens': 4096, 'stopSequences': [], }, 'safetySettings': [ { 'category': 'HARM_CATEGORY_HARASSMENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_HATE_SPEECH', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, ], }); print(requestBody); final response = await http.post( Uri.parse( 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${AK.geminiApi}'), headers: {'Content-Type': 'application/json'}, body: requestBody, ); if (response.statusCode == 200) { var responseData = jsonDecode(response.body); // Process the responseData as needed // 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)); 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: ${response.body}'); } } else { print('No image selected'); } } Future getDriverLicenseJordanContent() async { await pickImage(); isloading = true; update(); if (image != null) { final imageBytes = await image.readAsBytes(); final imageData = base64Encode(imageBytes); var requestBody = jsonEncode({ 'contents': [ { 'parts': [ { 'inlineData': { 'mimeType': 'image/jpeg', 'data': imageData, }, }, { 'text': 'write json for all data as first name ,last name,dob,id ,expiration date,issued date asdress class type,age in years ,output json type in arabic value and stay engish key and make date format like YYYY-MM-DD , for name please extract name in arabic in Name in json plus first_name ', }, ], }, ], 'generationConfig': { 'temperature': 0.4, 'topK': 32, 'topP': 1, 'maxOutputTokens': 4096, 'stopSequences': [], }, 'safetySettings': [ { 'category': 'HARM_CATEGORY_HARASSMENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_HATE_SPEECH', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, ], }); print(requestBody); final response = await http.post( Uri.parse( 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${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)); responseMap = jsonDecode(jsonString); print(jsonString); print(responseMap); print(responseMap['dob']); } else { print("JSON string not found"); } // Rest of your code... } else { print('Request failed with status: ${response.statusCode}'); print('Request failed with status: ${response.body}'); } } else { print('No image selected'); } } Future getCarLicenseJordanContent() async { await pickImage(); isloading = true; update(); if (image != null) { final imageBytes = await image.readAsBytes(); final imageData = base64Encode(imageBytes); var requestBody = jsonEncode({ 'contents': [ { 'parts': [ { 'inlineData': { 'mimeType': 'image/jpeg', 'data': imageData, }, }, { 'text': '''Extract the following information from the front face of the Jordanian ID card: Name National ID number Gender Date of birth Output the extracted information in the following JSON format''', }, ], }, ], 'generationConfig': { 'temperature': 0.4, 'topK': 32, 'topP': 1, 'maxOutputTokens': 4096, 'stopSequences': [], }, 'safetySettings': [ { 'category': 'HARM_CATEGORY_HARASSMENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_HATE_SPEECH', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, ], }); print(requestBody); final response = await http.post( Uri.parse( // 'https://${API_ENDPOINT}/v1/projects/${PROJECT_ID}/locations/${LOCATION_ID}/publishers/google/models/${MODEL_ID}:streamGenerateContent'), 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${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: ${response.body}'); } } else { print('No image selected'); } } Future jordanID() async { await pickImage(); isloading = true; update(); if (image != null) { final imageBytes = await image.readAsBytes(); final imageData = base64Encode(imageBytes); var requestBody = jsonEncode({ 'contents': [ { 'parts': [ { 'inlineData': { 'mimeType': 'image/jpeg', 'data': imageData, }, }, { 'text': '''Extract the following information from the front face of the Jordanian ID card: Name National ID number Gender Date of birth Output the extracted information in the following JSON format''', }, ], }, ], 'generationConfig': { 'temperature': 0.4, 'topK': 32, 'topP': 1, 'maxOutputTokens': 4096, 'stopSequences': [], }, 'safetySettings': [ { 'category': 'HARM_CATEGORY_HARASSMENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_HATE_SPEECH', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, ], }); print(requestBody); final response = await http.post( Uri.parse( 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${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: ${response.body}'); } } else { print('No image selected'); } } Future carLicenseJordan() async { await pickImage(); isloading = true; update(); if (image != null) { final imageBytes = await image.readAsBytes(); final imageData = base64Encode(imageBytes); var requestBody = jsonEncode({ 'contents': [ { 'parts': [ { 'inlineData': { 'mimeType': 'image/jpeg', 'data': imageData, }, }, { 'text': '''Extract the following information from the front face of the car license card in Jordan: * name * Address * Vehicle type * car_kind * car_color * Vehicle category * car_year * car_plate * Registration type * Usage type * expire_date_of_license Output the extracted information in the following JSON formate and make date format like YYYY-MM-DD''', }, ], }, ], 'generationConfig': { 'temperature': 0.4, 'topK': 32, 'topP': 1, 'maxOutputTokens': 4096, 'stopSequences': [], }, 'safetySettings': [ { 'category': 'HARM_CATEGORY_HARASSMENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_HATE_SPEECH', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, ], }); print(requestBody); final response = await http.post( Uri.parse( 'https://generativelanguage.googleapis.com/v1beta/models/gemini-1.0-pro-vision-latest:generateContent?key=${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: ${response.body}'); } } else { print('No image selected'); } } Future generateBackCarLicenseJordanContent() async { await pickImage(); isloading = true; update(); if (image != null) { final imageBytes = await image.readAsBytes(); final imageData = base64Encode(imageBytes); var requestBody = jsonEncode({ 'contents': [ { 'parts': [ { 'inlineData': { 'mimeType': 'image/jpeg', 'data': imageData, }, }, { 'text': 'write json output from extracting car license back face for these key ,vin,fuelType,passengerType,curbWeight,insuranceCompany,policyNumber,notes,insuranceType and output it json .dont add data else this image', }, ], }, ], 'generationConfig': { 'temperature': 0.4, 'topK': 343, 'topP': 1, 'maxOutputTokens': 4096, 'stopSequences': [], }, 'safetySettings': [ { 'category': 'HARM_CATEGORY_HARASSMENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_HATE_SPEECH', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, ], }); print(requestBody); final response = await http.post( Uri.parse( 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${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: ${response.body}'); } } else { print('No image selected'); } } Future getFromCarRegistration() async { await pickImage(); if (image != null) { final imageBytes = await image.readAsBytes(); final imageData = base64Encode(imageBytes); var requestBody = jsonEncode({ 'contents': [ { 'parts': [ { 'inlineData': { 'mimeType': 'image/jpeg', 'data': imageData, }, }, { 'text': 'write output json from image for[ vin, make, model, year, expiration_date, color, owner, registration_date ],output json type ', }, ], }, ], 'generationConfig': { 'temperature': 0.4, 'topK': 32, 'topP': 1, 'maxOutputTokens': 4096, 'stopSequences': [], }, 'safetySettings': [ { 'category': 'HARM_CATEGORY_HARASSMENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_HATE_SPEECH', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, { 'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'threshold': 'BLOCK_MEDIUM_AND_ABOVE', }, ], }); print(requestBody); final response = await http.post( Uri.parse( 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${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(); } }