Delete app.py with huggingface_hub

app.py

@@ -1,22 +0,0 @@
-import gradio as gr
-import numpy as np
-import time
-
-# 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://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")
-
-# define queue - required for generators
-demo.queue()
-
-demo.launch()