Add Arabic character mapping for proper letter display

- Added ARABIC_MAP dictionary to convert English class names to Arabic characters
- Detector now returns proper Arabic letters (ا ب ت...) instead of English names (aleff, bb, ta...)
- Letters displayed correctly in Arabic throughout the UI
- Supports all 32 Arabic sign language letters including special combinations (لا, ال)

utils/detector.py

@@ -6,6 +6,42 @@ from typing import Dict, List, Any
 import os
 import gc
 
+# Arabic letter mapping from English class names to Arabic characters
+ARABIC_MAP = {
+    "aleff": "ا",
+    "bb": "ب",
+    "ta": "ت",
+    "thaa": "ث",
+    "jeem": "ج",
+    "haa": "ح",
+    "khaa": "خ",
+    "dal": "د",
+    "thal": "ذ",
+    "ra": "ر",
+    "zay": "ز",
+    "seen": "س",
+    "sheen": "ش",
+    "saad": "ص",
+    "dhad": "ض",
+    "taa": "ط",
+    "dha": "ظ",
+    "ain": "ع",
+    "ghain": "غ",
+    "fa": "ف",
+    "gaaf": "ق",
+    "kaaf": "ك",
+    "laam": "ل",
+    "la": "لا",
+    "meem": "م",
+    "nun": "ن",
+    "ha": "ه",
+    "waw": "و",
+    "ya": "ي",
+    "yaa": "ي",
+    "toot": "ة",
+    "al": "ال"
+}
+
 class ArabicSignDetector:
     def __init__(self, model_path: str = None):
         print("🔄 Initializing ArabicSignDetector...")
@@ -104,10 +140,12 @@ class ArabicSignDetector:
                     for i in range(len(boxes.cls)):
                         class_id = int(boxes.cls[i])
                         confidence = float(boxes.conf[i])
-                        letter = self.model.names.get(class_id, "")
+                        letter_english = self.model.names.get(class_id, "")
                         
                         if confidence > self.confidence_threshold:
-                            detected_letters.append(letter)
+                            # Convert English class name to Arabic character
+                            letter_arabic = ARABIC_MAP.get(letter_english.lower(), letter_english)
+                            detected_letters.append(letter_arabic)
                             confidences.append(confidence)
 
             # Clear GPU memory after inference