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app.py

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+import numpy as np
+
+import gradio as gr
+
+def getoutput(input_img):
+    unet = UNet().to(device)
+    unet = torch.load("unet_06_07_2022_17_13_42_256_256.pth").to(device)
+    output_img = make_predictions(unet, input_img, threshold=0.5)
+    return output_img
+
+demo = gr.Interface(getoutput, gr.Image(shape=(200, 200)), "image")
+
+demo.launch(share=True)