use local images

app.py

@@ -78,7 +78,6 @@ class InteractionDetector:
         dist_y = np.abs(grid_y.T - joint[0])
         dist_coord = dist_x + dist_y
 
-
         depth_dist = np.abs(depth_map - depth_map[joint[1], joint[0]])
         depth_dist[(segmentation_map == PERSON_ID) | (dist_coord > 50)] = 255
         min_dist = np.unravel_index(np.argmin(depth_dist), depth_dist.shape)
@@ -146,7 +145,6 @@ class InteractionDetector:
             right_cls, r_distance = self.get_nearest_pixel_class(right_hand[:2], depth_map, segmentation_map)
             left_cls, l_distance = self.get_nearest_pixel_class(left_hand[:2], depth_map, segmentation_map)
 
-
             # Check for interactions
             right_touching = r_distance < self.interaction_threshold
             left_touching = l_distance < self.interaction_threshold
@@ -223,7 +221,6 @@ class InteractionDetector:
             info_text.append(f"Right hand distance to wall: {interaction['right_hand_distance']:.2f}")
             info_text.append(f"Left hand distance to wall: {interaction['left_hand_distance']:.2f}")
 
-
         # Add color to segmentation
         mask = np.zeros((*segmentation_map.shape, 3), dtype=np.uint8)
         colors = np.random.randint(0, 255, size=(100, 3))
@@ -267,14 +264,15 @@ def create_gradio_interface():
 
         gr.Examples(
             examples=[
-                "https://img.freepik.com/premium-photo/happy-black-man-opening-door-gesturing-okay-approving-new-home_116547-23954.jpg?w=1800",
-                "https://static3.bigstockphoto.com/6/7/2/large1500/276757975.jpg"
+                "images/1-8ea4418f.jpg",
+                "images/276757975.jpg"
             ],
             inputs=input_image
         )
 
     return interface
 
+
 interface = create_gradio_interface()
 if __name__ == "__main__":
     interface.launch(debug=True)