s

app.py

@@ -86,7 +86,7 @@ example_inputs = [
     ["examples/7.mp4", "1.3B", 5, 3],
     ["examples/8.mp4", "1.3B", 5, 3],
     ["examples/9.mp4", "1.3B", 5, 3],
-    ["examples/DJI_20250912163642_0003_D.mp4", "1.3B", 5, 3],
+    
     ["examples/178db6e89ab682bfc612a3290fec58dd.mp4", "1.3B", 5, 3],
     ["examples/36.mp4", "1.3B", 5, 3],
     ["examples/39.mp4", "1.3B", 5, 3],
@@ -96,14 +96,17 @@ example_inputs = [
     ["examples/10.mp4", "1.3B", 5, 3],
     ["examples/30.mp4", "1.3B", 5, 3],
     ["examples/3.mp4", "1.3B", 5, 3],
-    ["examples/31.mp4", "1.3B", 5, 3],
+    
     ["examples/32.mp4", "1.3B", 5, 3],
     
     ["examples/35.mp4", "1.3B", 5, 3],
     
     ["examples/40.mp4", "1.3B", 5, 3],
     ["examples/2.mp4", "1.3B", 5, 3],
-    ["examples/DJI_20250912164311_0007_D.mp4", "1.3B", 5, 3],
+
+    # ["examples/31.mp4", "1.3B", 5, 3],
+    # ["examples/DJI_20250912164311_0007_D.mp4", "1.3B", 5, 3],
+    # ["examples/DJI_20250912163642_0003_D.mp4", "1.3B", 5, 3],
 
     # ["examples/5.mp4", "1.3B", 5, 3],
 
@@ -284,7 +287,7 @@ def get_model(model_size):
 
 
 
-@spaces.GPU(duration=240)
+@spaces.GPU(duration=480)
 @torch.inference_mode()
 def process_video(
     video_file,