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import gradio as gr | |
from PIL import Image | |
import os | |
def load_hairstyles(): | |
folder = "hairstyles" | |
if not os.path.exists(folder): | |
return [] | |
return [ | |
Image.open(os.path.join(folder, f)).convert("RGBA") | |
for f in sorted(os.listdir(folder)) if f.endswith(".png") | |
] | |
hairstyles = load_hairstyles() | |
def apply_hairstyle(user_img, style_index, x_offset, y_offset, scale): | |
if user_img is None or not hairstyles: | |
return None | |
user_img = user_img.convert("RGBA") | |
base_w, base_h = user_img.size | |
hairstyle = hairstyles[style_index] | |
# Resize the hairstyle based on scale | |
new_size = (int(base_w * scale), int(hairstyle.height * (base_w * scale / hairstyle.width))) | |
hairstyle = hairstyle.resize(new_size) | |
# Create a blank transparent image to position the hairstyle | |
composite = Image.new("RGBA", user_img.size) | |
paste_x = int((base_w - new_size[0]) / 2 + x_offset) | |
paste_y = int(y_offset) | |
composite.paste(hairstyle, (paste_x, paste_y), hairstyle) | |
# Overlay it | |
result = Image.alpha_composite(user_img, composite) | |
return result.convert("RGB") | |
with gr.Blocks() as demo: | |
gr.Markdown("## π Salon Virtual Hairstyle Try-On (Adjustable)") | |
with gr.Row(): | |
with gr.Column(): | |
image_input = gr.Image(type="pil", label="π· Upload an Image") | |
style_slider = gr.Slider(0, max(len(hairstyles)-1, 0), step=1, label="π¨ Select Hairstyle") | |
x_offset = gr.Slider(-200, 200, value=0, step=1, label="β¬ οΈβ‘οΈ Move Left / Right") | |
y_offset = gr.Slider(-200, 200, value=0, step=1, label="β¬οΈβ¬οΈ Move Up / Down") | |
scale = gr.Slider(0.3, 2.0, value=1.0, step=0.05, label="π Scale Hairstyle") | |
apply_btn = gr.Button("β¨ Apply Hairstyle") | |
with gr.Column(): | |
result_output = gr.Image(label="π Result Preview") | |
apply_btn.click( | |
fn=apply_hairstyle, | |
inputs=[image_input, style_slider, x_offset, y_offset, scale], | |
outputs=result_output | |
) | |
demo.launch() | |