Update app.py

app.py

@@ -1,7 +1,7 @@
 from PIL import Image
 import gradio as gr
 import numpy as np
-import random, os, gc, base64
+import random, os, gc, base64, io
 import cv2
 import torch
 from accelerate import Accelerator
@@ -15,7 +15,7 @@ pipe_prior = accelerator.prepare(KandinskyV22PriorPipeline.from_pretrained("kand
 pipe_prior = accelerator.prepare(pipe_prior.to("cpu"))
 pipe = accelerator.prepare(KandinskyV22ControlnetPipeline.from_pretrained("kandinsky-community/kandinsky-2-2-controlnet-depth", torch_dtype=torch.float32))
 pipe = accelerator.prepare(pipe.to("cpu"))
-generator = torch.Generator("cpu").manual_seed(random.randint(1, 4867346))
+generator = torch.Generator("cpu").manual_seed(random.randint(1, 867346))
 
 def make_hint(note):
     client = Client("https://adpro-dpt-depth06.hf.space/")