Update to the final API naming

app.py

@@ -1,11 +1,11 @@
-from diffusers import LatentDiffusionUncondPipeline
+from diffusers import LDMPipeline
 import torch
 import PIL.Image
 import gradio as gr
 import random
 import numpy as np
 
-pipeline = LatentDiffusionUncondPipeline.from_pretrained("CompVis/ldm-celebahq-256")
+pipeline = LDMPipeline.from_pretrained("CompVis/ldm-celebahq-256")
 
 def predict(steps=1, seed=42):
     generator = torch.manual_seed(seed)