diff --git a/online_demo.py b/online_demo.py
index e05ed41..8802849 100644
--- a/online_demo.py
+++ b/online_demo.py
@@ -52,25 +52,33 @@ if __name__ == "__main__":
 
     window_frames = []
 
-    def _process_step(window_frames, is_first_step, grid_size):
+    def _process_step(window_frames, is_first_step, grid_size, grid_query_frame):
         video_chunk = (
             torch.tensor(np.stack(window_frames[-model.step * 2 :]), device=DEFAULT_DEVICE)
             .float()
             .permute(0, 3, 1, 2)[None]
         )  # (1, T, 3, H, W)
-        return model(video_chunk, is_first_step=is_first_step, grid_size=grid_size)
+        return model(
+            video_chunk,
+            is_first_step=is_first_step,
+            grid_size=grid_size,
+            grid_query_frame=grid_query_frame,
+        )
 
     # Iterating over video frames, processing one window at a time:
     is_first_step = True
     for i, frame in enumerate(
         iio.imiter(
-            "https://github.com/facebookresearch/co-tracker/blob/main/assets/apple.mp4",
+            "./assets/apple.mp4",
             plugin="FFMPEG",
         )
     ):
         if i % model.step == 0 and i != 0:
             pred_tracks, pred_visibility = _process_step(
-                window_frames, is_first_step, grid_size=args.grid_size
+                window_frames,
+                is_first_step,
+                grid_size=args.grid_size,
+                grid_query_frame=args.grid_query_frame,
             )
             is_first_step = False
         window_frames.append(frame)
@@ -79,6 +87,7 @@ if __name__ == "__main__":
         window_frames[-(i % model.step) - model.step - 1 :],
         is_first_step,
         grid_size=args.grid_size,
+        grid_query_frame=args.grid_query_frame,
     )
 
     print("Tracks are computed")