docs: update

app.py

@@ -261,10 +261,12 @@ def on_example_click(
 
 
     # Sequentially build the canvas (We don't accept the empty traj_lists & traj_instance_idx returned by build_canvas)
+    print("Build Canvas by Example!")
     visual_canvas, initial_visual_canvas, inference_canvas, _, _ = build_canvas(input_image, resized_height, resized_width, top_left_height, top_left_width, bottom_right_height, bottom_right_width)
 
 
     # Sequentially load the Trajs of all instances on the canvas
+    print("Build Traj by Example!")
     visual_canvas, traj_instance_idx = fn_vis_all_instance_traj(visual_canvas, traj_lists)
 
 
@@ -307,16 +309,20 @@ def build_canvas(input_image_path, resized_height, resized_width, top_left_heigh
 
     # Read the original image and preprare the placeholder
     first_frame_img = np.uint8(np.asarray(Image.open(input_image_path)))          # NOTE: this is BGR form, be careful for the later cropping process for ID Reference
-    # print("first_frame_img shape is ", first_frame_img.shape)
+    print("first_frame_img shape is ", first_frame_img.shape)
+
 
     # Resize to a uniform resolution
     first_frame_img = cv2.resize(first_frame_img, (resized_width, resized_height), interpolation = cv2.INTER_AREA)
+    print("first_frame_img is resized to", first_frame_img.shape)
+
 
     # Expand to Outside Region to form the Canvas
     expand_height = resized_height + top_left_height + bottom_right_height
     expand_width = resized_width + top_left_width + bottom_right_width
     inference_canvas = np.uint8(np.zeros((expand_height, expand_width, 3)))       # Whole Black Canvas, same as other inference
     visual_canvas = np.full((expand_height, expand_width, 3), canvas_color, dtype=np.uint8)
+    print("Visual Canvas is", visual_canvas.shape)
 
 
     # Sanity Check 
@@ -335,7 +341,7 @@ def build_canvas(input_image_path, resized_height, resized_width, top_left_heigh
 
     # Resize to the uniform height and width
     visual_canvas = cv2.resize(visual_canvas, (uniform_width, uniform_height), interpolation = cv2.INTER_AREA)
-
+    print("Visual Canvas resized to", visual_canvas.shape)
 
 
     # Return the visual_canvas (for visualizaiton) and canvas map
@@ -512,7 +518,7 @@ def sample_traj_by_length(points, num_samples):
 
 
 
-@spaces.GPU(duration=200)
+@spaces.GPU(duration=400)
 def inference(inference_canvas, visual_canvas, text_prompt, traj_lists, main_reference_img, 
                 resized_height, resized_width, top_left_height, top_left_width, bottom_right_height, bottom_right_width):