update

app.py

@@ -1,4 +1,22 @@
 import streamlit as st
 
+import torch
+from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation
+from diffusers import StableDiffusionInpaintPipeline
+
+
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+
+seg_processor = AutoImageProcessor.from_pretrained("facebook/mask2former-swin-base-coco-panoptic")
+seg_model = Mask2FormerForUniversalSegmentation.from_pretrained("facebook/mask2former-swin-base-coco-panoptic")
+
+
+# get Stable Diffusion model for image inpainting
+pipe = StableDiffusionInpaintPipeline.from_pretrained(
+    "runwayml/stable-diffusion-inpainting",
+    torch_dtype=torch.float16,
+).to(device)
+
+
 x = st.slider('Select a value')
 st.write(x, 'squared is', x * x)