Upload app.py

app.py

@@ -1,36 +1,50 @@
 import gradio as gr
-from pathlib import Path
+import cv2
+import numpy as np
 from PIL import Image
-import shutil
 
-BASE_DIR = Path(__file__).parent
-UPLOAD_DIR = BASE_DIR / "uploads"
-RESULT_DIR = BASE_DIR / "result"
-DATA_DIR = BASE_DIR / "DATA_DIR"
+# ======= Dummy try-on function =======
+# Replace this with your IDM-VTON model call
+def vton_tryon(human_img, garment_img, auto_mask=True, auto_resize=True, description=""):
+    """
+    human_img: PIL.Image
+    garment_img: PIL.Image
+    Returns: PIL.Image of human with garment overlay (dummy)
+    """
+    # Convert to OpenCV format
+    human = cv2.cvtColor(np.array(human_img), cv2.COLOR_RGB2BGR)
+    garment = cv2.cvtColor(np.array(garment_img), cv2.COLOR_RGB2BGR)
 
-UPLOAD_DIR.mkdir(exist_ok=True)
-RESULT_DIR.mkdir(exist_ok=True)
-DATA_DIR.mkdir(exist_ok=True)
+    # Resize garment to human size if auto_resize
+    if auto_resize:
+        garment = cv2.resize(garment, (human.shape[1], human.shape[0]))
 
-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 overlay: just blend human + garment
+    output = cv2.addWeighted(human, 0.7, garment, 0.3, 0)
 
-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
+    # Convert back to PIL
+    output = cv2.cvtColor(output, cv2.COLOR_BGR2RGB)
+    return Image.fromarray(output)
 
+# ======= Gradio Interface =======
 with gr.Blocks() as demo:
-    gr.Markdown(
-        """# V-Try AI Try-On
-Upload a shirt or outfit to see the try-on result. Powered by IDM-VTON (dummy)."""
-    )
+    gr.Markdown("## IDM-VTON 👕👔👚 Virtual Try-On with Gradio")
     with gr.Row():
-        input_img = gr.Image(type="pil", label="Upload Shirt/Outfit")
-        output_img = gr.Image(type="pil", label="Try-On Result")
-    input_img.change(fn=run_tryon, inputs=input_img, outputs=output_img)
+        with gr.Column():
+            human_img = gr.Image(label="Upload Human Image", type="pil")
+            auto_mask = gr.Checkbox(label="Use Auto-Mask", value=True)
+            auto_resize = gr.Checkbox(label="Auto Crop & Resize", value=True)
+        with gr.Column():
+            garment_img = gr.Image(label="Upload Garment Image", type="pil")
+            description = gr.Textbox(label="Garment Description", placeholder="Short Sleeve Tee, etc.")
+    
+    tryon_btn = gr.Button("Generate Try-On")
+    output_img = gr.Image(label="Try-On Result")
+    
+    tryon_btn.click(
+        fn=vton_tryon,
+        inputs=[human_img, garment_img, auto_mask, auto_resize, description],
+        outputs=output_img
+    )
 
-demo.launch(server_name="0.0.0.0", server_port=7860)
+demo.launch()