Update ocr_engine.py

ocr_engine.py

@@ -3,21 +3,18 @@ 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)
 
@@ -26,21 +23,18 @@ def extract_weight_from_image(pil_img):
         fallback_weight = None
         fallback_conf = 0.0
 
-        for box, (text, conf) in results:  # ✅ CORRECTED unpacking
+        for box, (text, conf) in results:  # ✅ THIS LINE IS CORRECT
             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")
-            cleaned = cleaned.replace("g", "9").replace("G", "6")
+            cleaned = cleaned.replace("o", "0").replace("s", "5").replace("g", "9")
             cleaned = cleaned.replace("kg", "").replace("kgs", "")
             cleaned = re.sub(r"[^0-9\.]", "", cleaned)
 
             raw_texts.append(f"{original} → {cleaned} (conf: {round(conf, 2)})")
 
-            if cleaned and cleaned.replace(".", "").isdigit() and not fallback_weight:
+            if cleaned.replace(".", "").isdigit() and not fallback_weight:
                 fallback_weight = cleaned
                 fallback_conf = conf