Shuffle the Position of Pixel in image to get shuffled image and revert it back to get original image

I am trying to shuffle the pixel positions in image to get encrypted(distorted) image and decrypt the image using the original position in python. This is what i got from GPT and the shuffled images appear to be black.

from PIL import Image
import numpy as np

# Load the image
img = Image.open('test.png')

# Convert the image to a NumPy array
img_array = np.array(img)

# Flatten the array
flat_array = img_array.flatten()

# Create an index array that records the original pixel positions
index_array = np.arange(flat_array.shape[0])

# Shuffle the 1D arrays using the same random permutation
shuffled_index_array = np.random.permutation(index_array)
shuffled_array = flat_array[shuffled_index_array]

# Reshape the shuffled 1D array to the original image shape
shuffled_img_array = shuffled_array.reshape(img_array.shape)

# Convert the NumPy array to PIL image
shuffled_img = Image.fromarray(shuffled_img_array)

# Save the shuffled image
shuffled_img.save('shuffled_image.png')

# Save the shuffled index array as integers to a text file
np.savetxt('shuffled_index_array.txt', shuffled_index_array.astype(int), fmt='%d')

# Load the shuffled index array from the text file
shuffled_index_array = np.loadtxt('shuffled_index_array.txt', dtype=int)

# Rearrange the shuffled array using the shuffled index array
reshuffled_array = shuffled_array[shuffled_index_array]

# Reshape the flat array to the original image shape
reshuffled_img_array = reshuffled_array.reshape(img_array.shape)

# Convert the NumPy array to PIL image
reshuffled_img = Image.fromarray(reshuffled_img_array)

# Save the reshuffled image
reshuffled_img.save('reshuffled_image.png')

I’m trying to shuffle the pixel positions in an image but im stuck with what is wrong going on here.