from PIL import Image

import matplotlib.pyplot as plt

# Load the uploaded image

image_path = "/mnt/data/file-Q8DjRukHZtsftmmGBgjUSG"

img = Image.open(image_path)

# Crop the 20th variant from the image (5th row, 5th column)

# Each cell is roughly equal-sized, so we calculate the approximate box

img_width, img_height = img.size

cols, rows = 5, 5

cell_width = img_width // cols

cell_height = img_height // rows

# Coordinates for the 20th variant (row 4, col 5)

col_index = 4

row_index = 3

left = col_index * cell_width

upper = row_index * cell_height

right = left + cell_width

lower = upper + cell_height

cropped_img = img.crop((left, upper, right, lower))

# Show the cropped image

plt.imshow(cropped_img)

plt.axis('off')

plt.title("Variant 20")

plt.show()