Update app.py

app.py

@@ -31,7 +31,7 @@ class Uniformerv2(nn.Module):
 device = "cpu"
 model_path = hf_hub_download(repo_id="lierzhao/mit_uniformerv2_l14_8x336.pyth", filename="mit_uniformerv2_l14_8x336.pyth")
 # Pick a pretrained model 
-model = Uniformerv2(uniformerv2_l14_336(pretrained=False, t_size=8, no_lmhra=True, temporal_downsample=False))
+model = Uniformerv2(uniformerv2_l14_336(pretrained=False, t_size=8, no_lmhra=True))
 state_dict = torch.load(model_path, map_location='cpu')
 model.load_state_dict(state_dict)