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import spaces
import gradio as gr
import subprocess
import re
from PIL import Image
import opencvinpaint
def sanitize_prompt(prompt):
# Allow only alphanumeric characters, spaces, and basic punctuation
allowed_chars = re.compile(r"[^a-zA-Z0-9\s.,!?-]")
sanitized_prompt = allowed_chars.sub("", prompt)
return sanitized_prompt
#@spaces.GPU(duration=120)
def process_images(image, image2=None,inpaint_radius=3,blur_radius=25,edge_expand=8,inpaint_mode="Telea"):
# I'm not sure when this happen
if not isinstance(image, dict):
if image2 == None:
print("empty mask")
return image
else:
image = dict({'background': image, 'layers': [image2]})
if image2!=None:
mask = image2
else:
if len(image['layers']) == 0:
print("empty mask")
return image
mask = image['layers'][0]
output = opencvinpaint.process_image(image["background"],mask,inpaint_radius,blur_radius,edge_expand,inpaint_mode)
return output
# code from https://huggingface.co/spaces/diffusers/stable-diffusion-xl-inpainting/blob/main/app.py
def read_file(file_path: str) -> str:
"""read the text of target file
"""
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
return content
css="""
#col-left {
margin: 0 auto;
max-width: 640px;
}
#col-right {
margin: 0 auto;
max-width: 640px;
}
"""
#css=css,
demo_blocks = gr.Blocks(css=css, elem_id="demo-container")
with demo_blocks as demo:
with gr.Column():
gr.HTML(read_file("demo_header.html"))
with gr.Row():
with gr.Column():
image = gr.ImageEditor(sources=['upload','clipboard'],transforms=[],image_mode='RGB', layers=False, elem_id="image_upload", type="pil", label="Upload",brush=gr.Brush(colors=["#333"], color_mode="fixed"))
with gr.Row(elem_id="prompt-container", equal_height=False):
with gr.Row():
btn = gr.Button("Inpaint!", elem_id="run_button")
image_mask = gr.Image(sources=['upload','clipboard'], elem_id="mask_upload", type="pil", label="Mask_Upload",height=400, value=None)
with gr.Accordion(label="Advanced Settings", open=False):
with gr.Row( equal_height=True):
inpaint_radius = gr.Number(value=3, minimum=1.0, maximum=20.0, step=1, label="Inpaint Radius")
blur_radius = gr.Number(value=25, minimum=0.0, maximum=50.0, step=1, label="Blur Radius")
edge_expand = gr.Number(value=8, minimum=0.0, maximum=20.0, step=1, label="Edge Expand")
with gr.Row(equal_height=True):
modes = ["Telea", "Navier-Stokes"]
inpaint_mode = gr.Dropdown(label="modes", choices=modes, value="Telea")
with gr.Column():
image_out = gr.Image(sources=[],label="Output", elem_id="output-img")
btn.click(fn=process_images, inputs=[image, image_mask,inpaint_radius,blur_radius,edge_expand,inpaint_mode], outputs =image_out, api_name='infer')
gr.Examples(
examples=[["examples/street.jpg", "examples/street_mask.jpg"]]
,
#fn=predict,
inputs=[image,image_mask],
cache_examples=False,
)
gr.HTML(
"""
<div style="text-align: center;">
<p>Inpaint Code <a href="https://github.com/opencv/opencv/blob/da3debda6d233af90e421e95700c63fc08b83b75/samples/python/inpaint.py" style="text-decoration: underline;" target="_blank">OpenCV inpaint example</a> - Gradio Demo by 🤗 Hugging Face
</p>
</div>
"""
)
demo_blocks.queue(max_size=25).launch(share=True)