envs

app.py

@@ -288,7 +288,7 @@ class ImageConductor:
 
         self.blur_kernel = blur_kernel
 
-    @spaces.GPU(duration=100)
+    @spaces.GPU(duration=150)
     def run(self, first_frame_path, tracking_points, prompt, drag_mode, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, personalized, examples_type):
         print("Run!")
         if examples_type != "":
@@ -411,14 +411,22 @@ def add_tracking_points(tracking_points, first_frame_path, drag_mode, evt: gr.Se
     elif drag_mode=='camera':
         color = (0, 0, 255, 255)
 
-    print(f"You selected {evt.value} at {evt.index} from {evt.target}")
-    tracking_points.value[-1].append(evt.index)
-    print(tracking_points.value)
+    if not isinstance(tracking_points ,list):
+        print(f"You selected {evt.value} at {evt.index} from {evt.target}")
+        tracking_points.value[-1].append(evt.index)
+        print(tracking_points.value)
+        tracking_points_values =  tracking_points.value
+    else:
+        tracking_points[-1].append(evt.index)
+        tracking_points_values = tracking_points
+        
+        
     
     transparent_background = Image.open(first_frame_path).convert('RGBA')
     w, h = transparent_background.size
     transparent_layer = np.zeros((h, w, 4))
-    for track in tracking_points.value:
+    
+    for track in tracking_points_values:
         if len(track) > 1:
             for i in range(len(track)-1):
                 start_point = track[i]