4/26/1

lib/controller/functions/crud.dart

@@ -1,11 +1,15 @@
 import 'dart:convert';
 import 'package:SEFER/constant/box_name.dart';
+import 'package:SEFER/constant/links.dart';
 import 'package:SEFER/main.dart';
 import 'package:get/get.dart';
 import 'package:http/http.dart' as http;
 import 'package:SEFER/env/env.dart';
 
 import '../../constant/api_key.dart';
+import 'gemeni.dart';
+import 'llama_ai.dart';
+import 'upload_image.dart';
 
 class CRUD {
   Future<dynamic> get({
@@ -62,21 +66,25 @@ class CRUD {
   Future<dynamic> getLlama({
     required String link,
     required String payload,
+    required String prompt,
   }) async {
     var url = Uri.parse(
       link,
     );
     var headers = {
       'Content-Type': 'application/json',
-      'Authorization': 'Bearer ${Env.llamaKey}'
+      'Authorization':
+          'Bearer LL-X5lJ0Px9CzKK0HTuVZ3u2u4v3tGWkImLTG7okGRk4t25zrsLqJ0qNoUzZ2x4ciPy'
+      // 'Authorization': 'Bearer ${Env.llamaKey}'
     };
     var data = json.encode({
-      "model": "llama-13b-chat",
+      "model": "Llama-3-70b-Inst-FW",
+      // "model": "llama-13b-chat",
       "messages": [
         {
           "role": "user",
           "content":
-              "Extract the desired information from the following passage as json decoded like vin,make,made,year,expiration_date,color,owner,registration_date just in this:\n\n$payload"
+              "Extract the desired information from the following passage as json decoded like $prompt just in this:\n\n$payload"
         }
       ],
       "temperature": 0.9
@@ -93,6 +101,44 @@ class CRUD {
     return response.statusCode;
   }
 
+  Future allMethodForAI(String prompt, linkPHP, imagePath) async {
+    await ImageController().choosImage(linkPHP, imagePath);
+    Future.delayed(const Duration(seconds: 2));
+    String extracted =
+        await arabicTextExtractByVisionAndAI(imagePath: imagePath);
+    await AI().geminiAiExtraction(prompt, extracted);
+  }
+
+  Future<dynamic> arabicTextExtractByVisionAndAI({
+    required String imagePath,
+  }) async {
+    var headers = {
+      'Content-Type': 'application/json',
+      'Ocp-Apim-Subscription-Key': '21010e54b50f41a4904708c526e102df'
+    };
+    var url = Uri.parse(
+      'https://ocrhamza.cognitiveservices.azure.com/vision/v2.1/ocr?language=ar',
+    );
+    String imagePathFull =
+        '${AppLink.server}card_image/$imagePath-${box.read(BoxName.driverID) ?? box.read(BoxName.passengerID)}.jpg';
+
+    print('imagePath=$imagePathFull');
+    var requestBody = {"url": imagePathFull};
+    var response = await http.post(
+      url,
+      body: jsonEncode(requestBody), // Encode the JSON object to a string
+      headers: headers,
+    );
+
+    if (response.statusCode == 200) {
+      var responseBody = jsonDecode(response.body);
+      // print(decode);
+      print('imagePath=$imagePathFull');
+      return responseBody.toString();
+    }
+    return response.statusCode;
+  }
+
   Future<dynamic> getChatGPT({
     required String link,
     required String payload,