Update app.py

app.py

@@ -63,7 +63,7 @@ def predict(Seed,ckpt,truncate_std):
   gen_pcs = []
   with torch.no_grad():
       z = torch.randn([1, ckpt['args'].latent_dim]).to(device)
-      x = model.sample(z, 2048, flexibility=ckpt['args'].flexibility,truncate_std=truncate_std))
+      x = model.sample(z, 2048, flexibility=ckpt['args'].flexibility,truncate_std=truncate_std)
       gen_pcs.append(x.detach().cpu())
   gen_pcs = torch.cat(gen_pcs, dim=0)[:1]
   gen_pcs = normalize_point_clouds(gen_pcs, mode="shape_bbox")