Create app.py

app.py

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+import streamlit as st
+import cv2
+import numpy as np
+from PIL import Image
+
+def image_to_sketch(image):
+    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    inverted_image = 255 - gray_image
+    blurred_image = cv2.GaussianBlur(inverted_image, (21, 21), 0)
+    inverted_blurred = 255 - blurred_image
+    sketch = cv2.divide(gray_image, inverted_blurred, scale=256.0)
+    return sketch
+
+st.title("Image to Sketch Converter")
+
+uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
+
+if uploaded_file is not None:
+    image = np.array(Image.open(uploaded_file))
+    st.image(image, caption='Uploaded Image', use_column_width=True)
+    
+    st.write("")
+    st.write("Converting...")
+
+    sketch = image_to_sketch(image)
+    
+    st.image(sketch, caption='Sketch', use_column_width=True)
+
+    # Provide a download link for the sketch image
+    im_pil = Image.fromarray(sketch)
+    im_pil.save("sketch.png")
+    with open("sketch.png", "rb") as file:
+        btn = st.download_button(
+            label="Download Sketch",
+            data=file,
+            file_name="sketch.png",
+            mime="image/png"
+        )