src/streamlit_app.py

import streamlit as st
import cv2
import numpy as np
from PIL import Image

st.title('Image to Sketch')

file = st.file_uploader('Upload a portrait Image', type=['jpg', 'png', 'jpeg'])
if file:
    img = Image.open(file).convert('RGB')
    img2 = np.array(img)
    img_bw = cv2.cvtColor(img2, cv2.COLOR_RGB2BGR)
    gray = cv2.cvtColor(img_bw, cv2.COLOR_RGB2GRAY)
    inverted = 255 - gray
    blurred = cv2.GaussianBlur(inverted, (21, 21), 0)

def dodge(front, back):
    return cv2.divide(front, 255 - back, scale=255)

sketch = dodge(gray, blurred)

st.subheader('Original vs Sketch')
col1, col2 = st.columns(2)

with col1:
    st.image(img, caption='Original', use_container_width=True)
with col2:
    st.image(sketch, caption='Sketch', use_container_width=True)