Update app.py

app.py

@@ -40,7 +40,7 @@ v = torch.load(f"{models_path}/files/V.pt", map_location=torch.device('cpu')).bf
 proj = torch.load(f"{models_path}/files/proj_1000pc.pt", map_location=torch.device('cpu')).bfloat16().to(device)
 df = torch.load(f"{models_path}/files/identity_df.pt")
 weight_dimensions = torch.load(f"{models_path}/files/weight_dimensions.pt")
-pinverse = torch.load(f"{models_path}/files/pinverse_1000pc.pt", map_location=torch.device('cpu')).bfloat16().to(device)
+pinverse = torch.load(f"{models_path}/files/pinverse_1000pc.pt", map_location=torch.device('cpu'))#.bfloat16().to(device)
 
 unet, vae, text_encoder, tokenizer, noise_scheduler = load_models(device)
 
@@ -205,8 +205,9 @@ def sample_then_run():
     torch.save(network.proj, "model.pt" )
     return image, "model.pt"
 
-@spaces.GPU
+#@spaces.GPU
 def start_items():
+    device = "cpu"
     print("Starting items")
     global young
     global pointy