app.py

import streamlit as st
import numpy as np
from PIL import Image
 
def main():
    st.title("Haltmann Diffusion Algorithm")
 
    slider = st.slider("Slider", 0, 255, 128) # default value=128, min=0, max=255

    algo = np.array([[0, 0, 0], [0, 1/3, 1/3], [0, 1/3, 2/3]])

    image = Image.open('image.png') # your image here

    pixels = np.array(image)

    for i in range(pixels.shape[0]): # iterate over the rows of the image matrix (height)    					   for j in range(pixels.shape[1]): # iterate over the columns of the image matrix (width)        	for k in range(pixels.shape[2]): # iterate over the color channels (RGB)             if pixels[i][j][k] > slider:                pixels[i][j][k] = int((algo @ np.array([pixels[i-1][j-1][k], pixels[i-1][j+1][k], pixels[i+1][j-1][k]]).T)[2])            else:                continue    

    new_image = Image.fromarray(pixels)

    st.image(new_image , caption='Output Image', use_column_width=True)        if __name__ == '__main__':            main()