Update app.py

app.py

@@ -44,45 +44,15 @@ from gradio_seg2image import create_demo as create_demo_seg
 from model import Model
 
 MAX_IMAGES = 1
-DESCRIPTION = '''# ControlNet
+DESCRIPTION = '''# Bake-a-Cake, powered by ControlNet"
 
-This is an unofficial demo for [https://github.com/lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet).
+Put a picture of anything, and ControlNet will turn it into a hyperrealistic cake:
 
-If you are interested in trying out other base models, check out [this Space](https://huggingface.co/spaces/hysts/ControlNet-with-other-models) as well.
-'''
-if (SPACE_ID := os.getenv('SPACE_ID')) is not None:
-    DESCRIPTION += f'''<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings.<br/>
-<a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true">
-<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
-<p/>
 '''
 
 model = Model()
 
 with gr.Blocks(css='style.css') as demo:
-    gr.Markdown(DESCRIPTION)
-    with gr.Tabs():
-        with gr.TabItem('Canny'):
-            create_demo_canny(model.process_canny, max_images=MAX_IMAGES)
-        with gr.TabItem('Hough'):
-            create_demo_hough(model.process_hough, max_images=MAX_IMAGES)
-        with gr.TabItem('HED'):
-            create_demo_hed(model.process_hed, max_images=MAX_IMAGES)
-        with gr.TabItem('Scribble'):
-            create_demo_scribble(model.process_scribble, max_images=MAX_IMAGES)
-        with gr.TabItem('Scribble Interactive'):
-            create_demo_scribble_interactive(
-                model.process_scribble_interactive, max_images=MAX_IMAGES)
-        with gr.TabItem('Fake Scribble'):
-            create_demo_fake_scribble(model.process_fake_scribble,
-                                      max_images=MAX_IMAGES)
-        with gr.TabItem('Pose'):
-            create_demo_pose(model.process_pose, max_images=MAX_IMAGES)
-        with gr.TabItem('Segmentation'):
-            create_demo_seg(model.process_seg, max_images=MAX_IMAGES)
-        with gr.TabItem('Depth'):
-            create_demo_depth(model.process_depth, max_images=MAX_IMAGES)
-        with gr.TabItem('Normal map'):
-            create_demo_normal(model.process_normal, max_images=MAX_IMAGES)
+    create_demo_canny(model.process_canny, max_images=MAX_IMAGES)
 
 demo.queue(api_open=False).launch()