Upload app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+import numpy as np
+import time
+
+def fake_diffusion(steps):
+    for _ in range(steps):
+        time.sleep(1)
+        image = np.random.random((600, 600, 3))
+        yield image
+
+    image = "https://i.picsum.photos/id/867/600/600.jpg?hmac=qE7QFJwLmlE_WKI7zMH6SgH5iY5fx8ec6ZJQBwKRT44" 
+    yield image
+
+
+demo = gr.Interface(fake_diffusion, 
+                    inputs=gr.Slider(1, 10, 3), 
+                    outputs="image")
+demo.queue()
+demo.launch()