Update to the final API naming

app.py

@@ -1,16 +1,16 @@
-from diffusers import LatentDiffusionPipeline
+from diffusers import LDMTextToImagePipeline
 import gradio as gr
 import PIL.Image
 import numpy as np
 import random
 import torch
 
-ldm_pipeline = LatentDiffusionPipeline.from_pretrained("CompVis/ldm-text2im-large-256")
+ldm_pipeline = LDMTextToImagePipeline.from_pretrained("CompVis/ldm-text2im-large-256")
 
 def predict(prompt, steps=100, seed=42, guidance_scale=6.0):
     torch.cuda.empty_cache()
     generator = torch.manual_seed(seed)
-    images = ldm_pipeline([prompt], generator=generator, num_inference_steps=steps, eta=0.3, guidance_scale=guidance_scale)
+    images = ldm_pipeline([prompt], generator=generator, num_inference_steps=steps, eta=0.3, guidance_scale=guidance_scale)["sample"]
     return images[0]
 
 random_seed = random.randint(0, 2147483647)