Update app.py

app.py

@@ -182,7 +182,7 @@ cache_pipeline = {
 #                     raise ValueError(f"Unknown base_model {base_model}")
 
 
-@spaces.GPU(duration=90)
+@spaces.GPU(duration=60)
 def infer(
     base_model,
     variant,
@@ -192,6 +192,7 @@ def infer(
     width=256,
     seed=0,
     randomize_seed=True,
+    progress = gr.Progress(track_tqdm=True),
 ):
     # if pipe_dict[base_model][variant] is None:
     #     if base_model == "ModelScope T2V":
@@ -255,7 +256,6 @@ def infer(
 
     generator = torch.Generator("cpu").manual_seed(seed)
 
-    progress = gr.Progress(track_tqdm=True)
     output = cache_pipeline["pipeline"](
         prompt=prompt,
         num_frames=16,