Add application file

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+from PIL import Image
+import cv2
+import numpy as np
+
+st.title("Segmentation and Blur Effects")
+
+uploaded_image = st.file_uploader("Upload an Image", type=["png", "jpg"])
+uploaded_depth = st.file_uploader("Upload a Depth Map", type=["png", "jpg"])
+
+if uploaded_image and uploaded_depth:
+    image = Image.open(uploaded_image)
+    depth_map = Image.open(uploaded_depth)
+
+    # Gaussian Blur
+    sigma = st.slider("Gaussian Blur Intensity", 5, 50, 15)
+    blurred_image = cv2.GaussianBlur(np.array(image), (0, 0), sigma)
+
+    # Depth-based Blur (Dummy example)
+    depth_array = np.array(depth_map).astype(np.float32)
+    depth_array = cv2.normalize(depth_array, None, 0, sigma, cv2.NORM_MINMAX)
+    blurred_depth = cv2.GaussianBlur(np.array(image), (0, 0), int(np.max(depth_array)))
+
+    st.image(blurred_image, caption="Gaussian Blur", use_column_width=True)
+    st.image(blurred_depth, caption="Depth-based Blur", use_column_width=True)