Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,28 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+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)
+