Upload app5.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 an 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('Orginal 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)

app5.py

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+import streamlit as st
+import cv2
+import numpy as np
+from PIL import Image
+
+st.title('Image to Sketch')
+file=st.file_uploader('Upload an 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('Orginal 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)