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Update app.py
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app.py
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@@ -2,58 +2,36 @@ import gradio as gr
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from PIL import Image
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import os
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def load_hairstyles():
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folder = "hairstyles"
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return []
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return [
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Image.open(os.path.join(folder, f)).convert("RGBA")
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for f in sorted(os.listdir(folder)) if f.endswith(".png")
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]
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hairstyles = load_hairstyles()
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return None
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user_img = user_img.convert("RGBA")
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# Resize the hairstyle based on scale
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new_size = (int(base_w * scale), int(hairstyle.height * (base_w * scale / hairstyle.width)))
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hairstyle = hairstyle.resize(new_size)
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# Create a blank transparent image to position the hairstyle
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composite = Image.new("RGBA", user_img.size)
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paste_x = int((base_w - new_size[0]) / 2 + x_offset)
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paste_y = int(y_offset)
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composite.paste(hairstyle, (paste_x, paste_y), hairstyle)
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# Overlay it
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result = Image.alpha_composite(user_img, composite)
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return result.convert("RGB")
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with gr.Blocks() as demo:
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gr.Markdown("## π Salon Virtual Hairstyle Try-On
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(type="pil", label="
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style_slider = gr.Slider(0,
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y_offset = gr.Slider(-200, 200, value=0, step=1, label="β¬οΈβ¬οΈ Move Up / Down")
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scale = gr.Slider(0.3, 2.0, value=1.0, step=0.05, label="π Scale Hairstyle")
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apply_btn = gr.Button("β¨ Apply Hairstyle")
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with gr.Column():
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fn=apply_hairstyle,
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inputs=[image_input, style_slider, x_offset, y_offset, scale],
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outputs=result_output
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)
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demo.launch()
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from PIL import Image
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import os
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# Load hairstyles
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def load_hairstyles():
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folder = "hairstyles"
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return [Image.open(os.path.join(folder, f)).convert("RGBA") for f in os.listdir(folder) if f.endswith(".png")]
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hairstyles = load_hairstyles()
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# Overlay hairstyle
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def apply_hairstyle(user_img, style_index):
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if user_img is None:
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return None
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user_img = user_img.convert("RGBA")
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hairstyle = hairstyles[style_index].resize(user_img.size)
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result = Image.alpha_composite(user_img, hairstyle)
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return result.convert("RGB")
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# Build Gradio UI
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with gr.Blocks() as demo:
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gr.Markdown("## π Salon Virtual Hairstyle Try-On")
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(source="upload", type="pil", label="Upload or Capture Image")
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style_slider = gr.Slider(0, len(hairstyles)-1, step=1, label="Select Hairstyle")
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submit_btn = gr.Button("Apply Hairstyle")
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with gr.Column():
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result_img = gr.Image(label="Result Preview")
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submit_btn.click(fn=apply_hairstyle, inputs=[image_input, style_slider], outputs=result_img)
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demo.launch()
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