create app.py

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+from PIL import Image
+import time
+
+def tryon_model(person_img, cloth_img):
+    # Simulate processing
+    time.sleep(2)
+    
+    # Combine person and cloth images side by side for demo
+    person = person_img.convert("RGB").resize((256, 256))
+    cloth = cloth_img.convert("RGB").resize((256, 256))
+    output = Image.new("RGB", (512, 256))
+    output.paste(person, (0, 0))
+    output.paste(cloth, (256, 0))
+    
+    return output
+
+demo = gr.Interface(
+    fn=tryon_model,
+    inputs=[
+        gr.Image(type="pil", label="Person Image"),
+        gr.Image(type="pil", label="Cloth Image")
+    ],
+    outputs=gr.Image(type="pil", label="Output Image"),
+    title="TryOnGAN Demo",
+    description="Upload a person image and a cloth image. The output shows a simulated try-on result.",
+)
+
+demo.launch()