not-lain LuigiLui commited on
Commit
b218be6
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1 Parent(s): 2d64873

Update app.py (#11)

Browse files

- Update app.py (95743c20b2b4551363302fc69e8c8b905d1e9cf4)


Co-authored-by: Lui <LuigiLui@users.noreply.huggingface.co>

Files changed (1) hide show
  1. app.py +18 -21
app.py CHANGED
@@ -12,6 +12,7 @@ birefnet = AutoModelForImageSegmentation.from_pretrained(
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  "ZhengPeng7/BiRefNet", trust_remote_code=True
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  )
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  birefnet.to("cuda")
 
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  transform_image = transforms.Compose(
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  [
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  transforms.Resize((1024, 1024)),
@@ -24,8 +25,8 @@ def fn(image):
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  im = load_img(image, output_type="pil")
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  im = im.convert("RGB")
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  origin = im.copy()
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- image = process(im)
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- return (image, origin)
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  @spaces.GPU
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  def process(image):
@@ -39,37 +40,33 @@ def process(image):
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  mask = pred_pil.resize(image_size)
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  image.putalpha(mask)
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  return image
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-
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  def process_file(f):
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- name_path = f.rsplit(".",1)[0]+".png"
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  im = load_img(f, output_type="pil")
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  im = im.convert("RGB")
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  transparent = process(im)
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  transparent.save(name_path)
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  return name_path
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- slider1 = ImageSlider(label="birefnet", type="pil")
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- slider2 = ImageSlider(label="birefnet", type="pil")
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- image = gr.Image(label="Upload an image")
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- image2 = gr.Image(label="Upload an image",type="filepath")
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- text = gr.Textbox(label="Paste an image URL")
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- png_file = gr.File(label="output png file")
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-
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  chameleon = load_img("butterfly.jpg", output_type="pil")
 
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- url = "https://hips.hearstapps.com/hmg-prod/images/gettyimages-1229892983-square.jpg"
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- tab1 = gr.Interface(
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- fn, inputs=image, outputs=slider1, examples=[chameleon], api_name="image"
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- )
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-
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- tab2 = gr.Interface(fn, inputs=text, outputs=slider2, examples=[url], api_name="text")
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- tab3 = gr.Interface(process_file, inputs=image2, outputs=png_file, examples=["butterfly.jpg"], api_name="png")
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-
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  demo = gr.TabbedInterface(
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- [tab1, tab2,tab3], ["image", "text","png"], title="birefnet for background removal"
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  )
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  if __name__ == "__main__":
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- demo.launch(show_error=True)
 
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  "ZhengPeng7/BiRefNet", trust_remote_code=True
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  )
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  birefnet.to("cuda")
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+
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  transform_image = transforms.Compose(
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  [
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  transforms.Resize((1024, 1024)),
 
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  im = load_img(image, output_type="pil")
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  im = im.convert("RGB")
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  origin = im.copy()
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+ processed_image = process(im)
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+ return (processed_image, origin)
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  @spaces.GPU
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  def process(image):
 
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  mask = pred_pil.resize(image_size)
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  image.putalpha(mask)
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  return image
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+
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  def process_file(f):
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+ name_path = f.rsplit(".", 1)[0] + ".png"
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  im = load_img(f, output_type="pil")
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  im = im.convert("RGB")
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  transparent = process(im)
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  transparent.save(name_path)
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  return name_path
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+ slider1 = ImageSlider(label="Processed Image", type="pil")
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+ slider2 = ImageSlider(label="Processed Image from URL", type="pil")
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+ image_upload = gr.Image(label="Upload an image")
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+ image_file_upload = gr.Image(label="Upload an image", type="filepath")
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+ url_input = gr.Textbox(label="Paste an image URL")
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+ output_file = gr.File(label="Output PNG File")
 
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+ # Example images
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  chameleon = load_img("butterfly.jpg", output_type="pil")
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+ url_example = "https://hips.hearstapps.com/hmg-prod/images/gettyimages-1229892983-square.jpg"
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+ tab1 = gr.Interface(fn, inputs=image_upload, outputs=slider1, examples=[chameleon], api_name="image")
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+ tab2 = gr.Interface(fn, inputs=url_input, outputs=slider2, examples=[url_example], api_name="text")
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+ tab3 = gr.Interface(process_file, inputs=image_file_upload, outputs=output_file, examples=["butterfly.jpg"], api_name="png")
 
 
 
 
 
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  demo = gr.TabbedInterface(
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+ [tab1, tab2, tab3], ["Image Upload", "URL Input", "File Output"], title="Background Removal Tool"
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  )
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  if __name__ == "__main__":
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+ demo.launch(show_error=True)