import gradio as gr from rembg import remove from PIL import Image, ImageDraw import numpy as np import io # Function to remove background automatically def remove_bg(image): if image is None: return None image = Image.open(image) output = remove(image) return output # Function to refine background using + and - points def refine_bg(image, points, threshold, mode): if image is None: return None image = Image.open(image).convert("RGBA") mask = Image.new("L", image.size, 0) draw = ImageDraw.Draw(mask) for point in points: x, y = point color = 255 if mode == "keep" else 0 draw.ellipse((x - threshold * 10, y - threshold * 10, x + threshold * 10, y + threshold * 10), fill=color) refined = Image.composite(image, Image.new("RGBA", image.size, (0, 0, 0, 0)), mask) return refined # Gradio UI with gr.Blocks() as iface: gr.Markdown("# AI Background Remover") with gr.Row(): input_img = gr.Image(type="filepath", label="Upload Image") output_img = gr.Image(type="pil", label="Output Image") remove_btn = gr.Button("Remove Background") remove_btn.click(remove_bg, inputs=input_img, outputs=output_img) refine_btn = gr.Button("Refine") refine_options = gr.Column(visible=False) with refine_options: gr.Markdown("### Refine Background") refine_editor = gr.Image(type="filepath", label="Tap to Add Points", interactive=True) keep_btn = gr.Button("+ (Keep)") remove_btn = gr.Button("- (Remove)") threshold_slider = gr.Slider(0.00, 1.00, value=0.5, step=0.01, label="Threshold") apply_refine_btn = gr.Button("Apply Refinements") refine_mode = gr.State("keep") def show_refine_section(image): return gr.update(visible=True), image # Show section and keep image visible def set_mode_keep(): return "keep", "+ (Keep) Selected" def set_mode_remove(): return "remove", "- (Remove) Selected" refine_btn.click(show_refine_section, inputs=input_img, outputs=[refine_options, refine_editor]) keep_btn.click(set_mode_keep, outputs=[refine_mode, keep_btn]) remove_btn.click(set_mode_remove, outputs=[refine_mode, remove_btn]) apply_refine_btn.click(refine_bg, inputs=[input_img, refine_editor, threshold_slider, refine_mode], outputs=output_img) iface.launch()