dont use xformers if cuda isnt available

app.py

@@ -228,7 +228,9 @@ def greet(audio, steps=25, scheduler="ddpm"):
         scheduler=use_sched,
         safety_checker=None,
     ).to(device)
-    pipeline.enable_xformers_memory_efficient_attention()
+    pipeline.enable_attention_slicing()
+    if torch.cuda.is_available():
+        pipeline.enable_xformers_memory_efficient_attention()
 
     # print(f"taking {steps} steps using the {scheduler} scheduler")
     image = pipeline(