Update app.py

app.py

@@ -1,13 +1,10 @@
 from PIL import Image
-import cv2
 import gradio as gr
-import numpy as np
 import torch, os, random
 from accelerate import Accelerator
 from transformers import pipeline
 from diffusers.utils import load_image
 from diffusers import DiffusionPipeline, DDPMScheduler
-from diffusers.pipelines.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS
 
 accelerator = Accelerator(cpu=True)
 warp_prior = accelerator.prepare(DiffusionPipeline.from_pretrained("warp-ai/wuerstchen-prior", torch_dtype=torch.bfloat16, use_safetensors=True, safety_cheker=None))