Update ocr_engine.py

ocr_engine.py

@@ -12,16 +12,12 @@ def extract_weight_from_image(pil_img):
         # Convert to grayscale
         gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
 
-        # Enhance contrast
-        gray = cv2.equalizeHist(gray)
-
-        # Resize to enhance small text
+        # Resize and enhance contrast
         gray = cv2.resize(gray, None, fx=2, fy=2, interpolation=cv2.INTER_LINEAR)
+        gray = cv2.equalizeHist(gray)
 
-        # Add light blur to reduce noise
+        # Reduce noise and invert for LCD displays
         gray = cv2.GaussianBlur(gray, (3, 3), 0)
-
-        # Invert for LCD screens with dark backgrounds
         inverted = cv2.bitwise_not(gray)
 
         # OCR
@@ -29,12 +25,12 @@ def extract_weight_from_image(pil_img):
         combined_text = " ".join(result)
         print("OCR Result:", combined_text)
 
-        # Try to detect weight pattern like "25kg" or "25.3kg"
-        match = re.search(r"(\d{1,4}(?:\.\d{1,2})?)\s?(kg)", combined_text, re.IGNORECASE)
+        # Primary match: e.g., 25kg, 75.45 kg
+        match = re.search(r"(\d{1,3}(?:\.\d{1,2})?)\s?(kg|KG|Kg)", combined_text)
         if match:
             return f"{match.group(1)} kg", 95.0
 
-        # Fallback: detect numbers only
+        # Fallback: just numbers (assume it's in kg)
         fallback = re.search(r"\d{1,4}(?:\.\d{1,2})?", combined_text)
         if fallback:
             return f"{fallback.group(0)} kg", 75.0