Update ocr_engine.py

ocr_engine.py

@@ -9,21 +9,28 @@ def extract_weight_from_image(pil_img):
     try:
         img = np.array(pil_img)
 
-        # Resize large image if needed
+        # Resize large images
         max_dim = 1000
         height, width = img.shape[:2]
         if max(height, width) > max_dim:
             scale = max_dim / max(height, width)
             img = cv2.resize(img, None, fx=scale, fy=scale, interpolation=cv2.INTER_AREA)
 
-        # OCR
+        # Run OCR
         results = reader.readtext(img)
 
         weight_candidates = []
         fallback_weight = None
         fallback_conf = 0.0
 
-        for box, (text, conf) in results:  # ✅ Correct unpacking
+        for item in results:
+            if len(item) != 2:
+                continue
+            text_data = item[1]
+            if not isinstance(text_data, tuple) or len(text_data) != 2:
+                continue
+
+            text, conf = text_data
             cleaned = text.lower().strip()
             cleaned = cleaned.replace(",", ".")
             cleaned = cleaned.replace("o", "0").replace("O", "0")
@@ -46,7 +53,6 @@ def extract_weight_from_image(pil_img):
         else:
             return "Not detected", 0.0
 
-        # Normalize
         if "." in best_weight:
             int_part, dec_part = best_weight.split(".")
             int_part = int_part.lstrip("0") or "0"