Extracting data from and image with data embededd Python3

#!/usr/bin/env python3

# The decode  py for the extracting data  from an image embedded with data


# MD Harrington Kent London UK 12-09-2024 Time 1:56
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from PIL import Image, PngImagePlugin
import matplotlib.pyplot as plt
import time
import datetime
import os  # For clearing the screen
import platform  # To detect the OS

# Function to clear the screen based on the OS
def clear_screen():
    # Detect the OS and clear screen appropriately
    if platform.system() == "Windows":
        os.system('cls')
    else:
        os.system('clear')

def slow_print(text, color=None):
    if color:
        print(f"\033[{color}m", end="")  # Set the color (e.g., '91' for red)
    for char in text:
        print(char, end='', flush=True)
        time.sleep(0.05)  # Slow print effect
    if color:
        print("\033[0m", end="")  # Reset color to default after text
    print()  # New line after the text

# Function to read ASCII values from image metadata and reconstruct the original sentence
def read_ascii_from_image(image_path):
    try:
        # Open the image and access the metadata
        img = Image.open(image_path)

        # Display the image
        plt.imshow(img)
        plt.axis('off')  # Hide axis for better display
        plt.title("Loaded Image with Embedded data")
        plt.show()

        # Extract metadata
        metadata = img.info

        # Extract the ASCII values stored as metadata
        if "ASCII Values" in metadata:
            ascii_values_str = metadata["ASCII Values"]
            slow_print(f"Extracted data values: {ascii_values_str}", color="45")

            # Convert the ASCII values string back into a list of integers
            ascii_values = list(map(int, ascii_values_str.split(',')))

            # Reconstruct the original message from the ASCII values
            original_message = ''.join(chr(value) for value in ascii_values)
            slow_print(f"Reconstructed message: {original_message}", color="96")
        else:
            slow_print("No ASCII values found in the image metadata.", color="90")

    except FileNotFoundError:
        print(f"Error: Image file '{image_path}' not found.")
    except Exception as e:
        print(f"An error occurred: {e}")

if __name__ == "__main__":
    current_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    slow_print(f"\n\nProgram that decodes the image thank you and now it's easy. There you go, MD Harrington. {current_time}", color="92")
    # Provide the path to the image that contains the embedded ASCII values
    image_path = "ascplot.png"  # Make sure the image path is correct
    read_ascii_from_image(image_path)
    slow_print(f"\n\nProgram exited gracefully, thank you MD Harrington. {current_time}", color="92")
    time.sleep(3)
    clear_screen()


##  Enjoy  as I have many more ideas  to put into place It pays to listen  to some people  and now  you see why