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import gradio as gr
from PIL import Image
from io import BytesIO
from src.utils import change_background, matte
def process_image(uploaded_file, background_color):
# Add debugging statement
print(f"background_color received: {background_color}")
# Default value check
if background_color is None:
return "Please select a background color."
hexmap = {
"Transparent (PNG)": "#000000",
"Black": "#000000",
"White": "#FFFFFF",
"Green": "#22EE22",
"Red": "#EE2222",
"Blue": "#2222EE",
}
alpha = 0.0 if background_color == "Transparent (PNG)" else 1.0
img_input = uploaded_file # No need to open, it's already a PIL image
img_matte = matte(img_input)
img_output = change_background(img_input, img_matte, background_alpha=alpha, background_hex=hexmap[background_color])
return img_output
with gr.Blocks() as demo:
gr.Markdown("""
# AI Photo Background Removal
You want to remove your photo background, but don't have the time and effort to learn photo editing skills?
**This app will change or remove your photo background, in seconds.**
""")
with gr.Row():
image_input = gr.Image(type="pil", label="Upload your photo here")
bg_color = gr.Dropdown(choices=["Transparent (PNG)", "White", "Black", "Green", "Red", "Blue"], label="Choose background color")
output_image = gr.Image(type="pil", label="Processed Image")
btn = gr.Button("Submit")
btn.click(fn=process_image, inputs=[image_input, bg_color], outputs=output_image)
gr.Examples(
examples=[["assets/demo.jpg", "Transparent (PNG)"]],
inputs=[image_input, bg_color]
)
if __name__ == "__main__":
demo.launch()
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