Spaces:
Running
Running
Upload with huggingface_hub
Browse files
README.md
CHANGED
@@ -6,6 +6,7 @@ colorFrom: indigo
|
|
6 |
colorTo: indigo
|
7 |
sdk: gradio
|
8 |
sdk_version: 3.4.1
|
9 |
-
|
|
|
10 |
pinned: false
|
11 |
---
|
|
|
6 |
colorTo: indigo
|
7 |
sdk: gradio
|
8 |
sdk_version: 3.4.1
|
9 |
+
|
10 |
+
app_file: app.py
|
11 |
pinned: false
|
12 |
---
|
app.py
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
import numpy as np
|
3 |
+
import time
|
4 |
+
|
5 |
+
# define core fn, which returns a generator {steps} times before returning the image
|
6 |
+
def fake_diffusion(steps):
|
7 |
+
for _ in range(steps):
|
8 |
+
time.sleep(1)
|
9 |
+
image = np.random.random((600, 600, 3))
|
10 |
+
yield image
|
11 |
+
|
12 |
+
image = "https://i.picsum.photos/id/867/600/600.jpg?hmac=qE7QFJwLmlE_WKI7zMH6SgH5iY5fx8ec6ZJQBwKRT44"
|
13 |
+
yield image
|
14 |
+
|
15 |
+
demo = gr.Interface(fake_diffusion,
|
16 |
+
inputs=gr.Slider(1, 10, 3),
|
17 |
+
outputs="image")
|
18 |
+
|
19 |
+
# define queue - required for generators
|
20 |
+
demo.queue()
|
21 |
+
|
22 |
+
demo.launch()
|