2

app.py

@@ -1,7 +1,31 @@
 import gradio as gr
+import time
 
-def greet(name):
-	return "Hello" + name
 
-demo = gr.Interface(fn=greet, inputs='text', outputs='text')
-demo.launch()
+def sleep(im):
+    time.sleep(5)
+    return [im["background"], im["layers"][0], im["layers"][1], im["composite"]]
+
+
+def predict(im):
+    return im["composite"]
+
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        im = gr.ImageEditor(
+            type="numpy",
+            crop_size="1:1",
+        )
+        im_preview = gr.Image()
+    n_upload = gr.Number(0, label="Number of upload events", step=1)
+    n_change = gr.Number(0, label="Number of change events", step=1)
+    n_input = gr.Number(0, label="Number of input events", step=1)
+
+    im.upload(lambda x: x + 1, outputs=n_upload, inputs=n_upload)
+    im.change(lambda x: x + 1, outputs=n_change, inputs=n_change)
+    im.input(lambda x: x + 1, outputs=n_input, inputs=n_input)
+    im.change(predict, outputs=im_preview, inputs=im, show_progress="hidden")
+
+if __name__ == "__main__":
+    demo.launch()