Update app.py

app.py

@@ -5,8 +5,10 @@ device=torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 
 # Cargamos el learner
-model = torch.load('modelomemes.pkl',map_location ='cpu')
-
+def load(f, map_location='cpu', pickle_module=pickle, **pickle_load_args):
+    with open ('modelomemes.pkl',mode='rb') as file:
+        learn=cloudpickle.load(file)
+