Delete app.py

app.py

@@ -1,60 +0,0 @@
-import gradio as gr
-from PIL import Image
-import os
-
-# Load all hairstyle images from folder
-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()
-
-# Automatically apply hairstyle to uploaded image
-def apply_hairstyle(user_img, style_index):
-    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 hairstyle to match width of head image
-    scale_factor = 0.9  # Adjust if needed
-    new_width = int(base_w * scale_factor)
-    new_height = int(hairstyle.height * (new_width / hairstyle.width))
-    resized_hairstyle = hairstyle.resize((new_width, new_height))
-
-    # Automatically center it near the top
-    paste_x = (base_w - new_width) // 2
-    paste_y = int(base_h * 0.05)  # Adjust this offset if needed
-
-    composite = Image.new("RGBA", user_img.size)
-    composite.paste(resized_hairstyle, (paste_x, paste_y), resized_hairstyle)
-
-    final = Image.alpha_composite(user_img, composite)
-    return final.convert("RGB")
-
-# Gradio Interface (no sliders shown to user)
-with gr.Blocks() as demo:
-    gr.Markdown("## 💇 Salon Virtual Hairstyle Try-On (Auto Fit – No Adjustment Needed)")
-
-    with gr.Row():
-        with gr.Column():
-            image_input = gr.Image(type="pil", label="📷 Upload Your Image")
-            style_slider = gr.Slider(0, max(len(hairstyles)-1, 0), step=1, label="🎨 Select 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],
-        outputs=result_output
-    )
-
-demo.launch()