Update ocr_engine.py

ocr_engine.py

@@ -3,18 +3,21 @@ import numpy as np
 import cv2
 import re
 
+# Initialize OCR
 reader = easyocr.Reader(['en'], gpu=False)
 
 def extract_weight_from_image(pil_img):
     try:
         img = np.array(pil_img)
 
+        # Resize large images to prevent OCR failure
         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)
 
+        # Read text
         results = reader.readtext(img)
         print("DEBUG OCR RESULTS:", results)
 
@@ -23,13 +26,11 @@ def extract_weight_from_image(pil_img):
         fallback_weight = None
         fallback_conf = 0.0
 
-        for item in results:
-            box, content = item         # ✅ This fixes the unpacking error
-            text, conf = content
-
+        for box, (text, conf) in results:  # ✅ CORRECTED unpacking
             original = text
             cleaned = text.lower().strip()
 
+            # Fix OCR errors
             cleaned = cleaned.replace(",", ".")
             cleaned = cleaned.replace("o", "0").replace("O", "0")
             cleaned = cleaned.replace("s", "5").replace("S", "5")
@@ -53,7 +54,6 @@ def extract_weight_from_image(pil_img):
         else:
             return "Not detected", 0.0, "OCR returned nothing useful"
 
-        # Remove leading zeros
         if "." in best_weight:
             int_part, dec_part = best_weight.split(".")
             int_part = int_part.lstrip("0") or "0"