Update app.py

app.py

@@ -5,6 +5,9 @@ import torch
 import spaces
 from diffusers import  DiffusionPipeline, FlowMatchEulerDiscreteScheduler
 
+device = "cuda" if torch.cuda.is_available() else "cpu"
+dtype = torch.bfloat16
+
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to(device)
 
 MAX_SEED = np.iinfo(np.int32).max