import cv2
import pytesseract
import numpy as np
from PIL import Image

def extract_weight_from_image(image):
    try:
        image = np.array(image.convert("RGB"))  # Ensure RGB format
        gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
        blur = cv2.GaussianBlur(gray, (3, 3), 0)  # Optional: denoise
        text = pytesseract.image_to_string(blur, config='--psm 7 digits')
        weight = ''.join(filter(lambda x: x in '0123456789.', text))
        confidence = 95  # Placeholder
        return weight.strip(), confidence
    except Exception as e:
        return "", 0