Delete app_o.py

app_o.py

@@ -1,88 +0,0 @@
-#!/usr/bin/env python
-
-from __future__ import annotations
-
-import os
-import pathlib
-import shlex
-import subprocess
-
-import gradio as gr
-
-if os.getenv('SYSTEM') == 'spaces':
-    with open('patch') as f:
-        subprocess.run(shlex.split('patch -p1'), stdin=f, cwd='ControlNet')
-
-base_url = 'https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/'
-names = [
-    'body_pose_model.pth',
-    'dpt_hybrid-midas-501f0c75.pt',
-    'hand_pose_model.pth',
-    'mlsd_large_512_fp32.pth',
-    'mlsd_tiny_512_fp32.pth',
-    'network-bsds500.pth',
-    'upernet_global_small.pth',
-]
-for name in names:
-    command = f'wget https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/{name} -O {name}'
-    out_path = pathlib.Path(f'ControlNet/annotator/ckpts/{name}')
-    if out_path.exists():
-        continue
-    subprocess.run(shlex.split(command), cwd='ControlNet/annotator/ckpts/')
-
-from gradio_canny2image import create_demo as create_demo_canny
-from gradio_depth2image import create_demo as create_demo_depth
-from gradio_fake_scribble2image import create_demo as create_demo_fake_scribble
-from gradio_hed2image import create_demo as create_demo_hed
-from gradio_hough2image import create_demo as create_demo_hough
-from gradio_normal2image import create_demo as create_demo_normal
-from gradio_pose2image import create_demo as create_demo_pose
-from gradio_scribble2image import create_demo as create_demo_scribble
-from gradio_scribble2image_interactive import \
-    create_demo as create_demo_scribble_interactive
-from gradio_seg2image import create_demo as create_demo_seg
-from model import Model
-
-MAX_IMAGES = 1
-DESCRIPTION = '''# ControlNet
-
-This is an unofficial demo for [https://github.com/lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet).
-
-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)
-
-demo.queue(api_open=False).launch()