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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("## 💇 Salon Virtual Hairstyle Try-On (Adjustable)") | |
| with gr.Row(): | |
| with gr.Column(): | |
| image_input = gr.Image(type="pil", label="📷 Upload an Image") | |
| style_slider = gr.Slider(0, max(len(hairstyles)-1, 0), step=1, label="🎨 Select Hairstyle") | |
| x_offset = gr.Slider(-200, 200, value=0, step=1, label="⬅️➡️ Move Left / Right") | |
| y_offset = gr.Slider(-200, 200, value=0, step=1, label="⬆️⬇️ Move Up / Down") | |
| scale = gr.Slider(0.3, 2.0, value=1.0, step=0.05, label="📏 Scale Hairstyle") | |
| apply_btn = gr.Button("✨ Apply Hairstyle") | |
| with gr.Column(): | |
| result_output = gr.Image(label="🔍 Result Preview") | |
| apply_btn.click( | |
| fn=apply_hairstyle, | |
| inputs=[image_input, style_slider, x_offset, y_offset, scale], | |
| outputs=result_output | |
| ) | |
| demo.launch() | |