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app.py

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+import gradio as gr
+import os
+from pathlib import Path
+from PIL import Image
+import shutil
+
+# Folders & paths
+BASE_DIR = Path(__file__).parent
+UPLOAD_DIR = BASE_DIR / "uploads"
+RESULT_DIR = BASE_DIR / "result"
+DATA_DIR = BASE_DIR / "DATA_DIR"
+
+UPLOAD_DIR.mkdir(exist_ok=True)
+RESULT_DIR.mkdir(exist_ok=True)
+DATA_DIR.mkdir(exist_ok=True)
+
+# Dummy image in DATA_DIR
+dummy_image_path = DATA_DIR / "dummy_image.png"
+if not dummy_image_path.exists():
+    Image.new("RGB", (768, 1024), (200, 200, 200)).save(dummy_image_path)
+
+# Dummy Try-On Function
+def run_tryon(image: Image.Image):
+    input_path = UPLOAD_DIR / "input.png"
+    image.save(input_path)
+    output_path = RESULT_DIR / "output.png"
+    shutil.copy(dummy_image_path, output_path)
+    return output_path
+
+iface = gr.Interface(
+    fn=run_tryon,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Image(type="pil"),
+    title="V-Try AI Try-On",
+    description="Upload a shirt or outfit to see the try-on result. Powered by IDM-VTON (dummy)."
+)
+
+iface.launch(server_name="0.0.0.0", server_port=7860)

requirements.txt

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+gradio==3.39.0
+Pillow
+torch
+opencv-python
+accelerate
+shutil