Update app.py

app.py

@@ -1,13 +1,13 @@
 import gradio as gr
 import numpy as np
 import random
-from diffusers import KalpanaPipeline
+from diffusers import FluxPipeline
 import torch
 import spaces
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-pipe = KalpanaPipeline.from_pretrained(
+pipe = FluxPipeline.from_pretrained(
     "enhanceaiteam/kalpana",
     torch_dtype=torch.float16
 ).to(device)