app.py

#!/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
from model import array_of_photos

MAX_IMAGES = 1


model = Model()


def shima(name):
    print(array_of_photos)
    print("shimaaa this is !!!!!!", len(array_of_photos))
    print("type", type(array_of_photos))
    print("type of last", type(array_of_photos[-1]))
    
    return array_of_photos

with gr.Blocks(css='style.css') as demo:
        with gr.TabItem('Canny'):
            create_demo_canny(model.process_canny, max_images=MAX_IMAGES)
        with gr.TabItem('Hough'):
            with gr.Row():
                with gr.Column(elem_id='33'):
                    input = gr.Image()
                    shima_but = gr.Button('shiii')
                    gr.Textbox
                with gr.Column():
                    output = gr.Gallery()
            
            shima_but.click(shima, input, [output])
            

  
        

demo.queue(api_open=False).launch()