sharing test

app.py

@@ -0,0 +1,20 @@
+import time
+import gradio as gr
+import numpy as np
+
+
+# define core fn, which returns a generator {steps} times before returning the image
+def fake_diffusion(steps):
+    for _ in range(steps):
+        time.sleep(1)
+        image = np.random.random((600, 600, 3))
+        yield image
+    image = "https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg"
+    yield image
+
+
+demo = gr.Interface(fake_diffusion, inputs=gr.Slider(1, 10, 3), outputs="image")
+
+# define queue - required for generators
+demo.queue()
+demo.launch(share=True)