Update ocr_engine.py

ocr_engine.py

@@ -13,7 +13,7 @@ def extract_weight_from_image(pil_img):
         img = cv2.resize(img, None, fx=3.5, fy=3.5, interpolation=cv2.INTER_LINEAR)
         gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
 
-        # Denoise & Adaptive Threshold (better than OTSU for displays)
+        # Denoise & Adaptive Thresholding
         gray = cv2.bilateralFilter(gray, 11, 17, 17)
         thresh = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
                                        cv2.THRESH_BINARY_INV, 11, 2)
@@ -21,7 +21,7 @@ def extract_weight_from_image(pil_img):
         # Run OCR
         results = reader.readtext(thresh)
 
-        print("OCR Results:", results)  # For debugging
+        print("OCR Results:", results)
 
         weight_candidates = []
         for _, text, conf in results:
@@ -31,9 +31,9 @@ def extract_weight_from_image(pil_img):
             cleaned = cleaned.replace("s", "5").replace("S", "5")
             cleaned = cleaned.replace("g", "9").replace("G", "6")
 
-            cleaned = re.sub(r"[^\d\.]", "", cleaned)  # remove non-numeric
+            cleaned = re.sub(r"[^\d\.]", "", cleaned)
 
-            if re.fullmatch(r"\d{2,4}(\.\d{1,2})?", cleaned):  # allow 2-4 digit weights
+            if re.fullmatch(r"\d{2,4}(\.\d{1,2})?", cleaned):
                 weight_candidates.append((cleaned, conf))
 
         if not weight_candidates: