Create app.py

app.py

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+import gradio as gr
+import numpy as np
+
+def pics_pairwise_inference(bg, obj_a_data, obj_b_data):
+    """
+    Main inference function for PICS (Pairwise Image Compositing).
+    Handles the spatial interactions between two objects (A and B) and the background.
+    """
+    # Extract Image and Mask for Object A
+    # The 'layers' attribute contains the mask drawn/uploaded by the user
+    img_a = obj_a_data["background"]
+    mask_a = obj_a_data["layers"][0] if obj_a_data["layers"] else None
+    
+    # Extract Image and Mask for Object B
+    img_b = obj_b_data["background"]
+    mask_b = obj_b_data["layers"][0] if obj_b_data["layers"] else None
+
+    # Backend Integration: This is where we call the core PICS logic tomorrow
+    # e.g., result = pics_model.infer(bg, (img_a, mask_a), (img_b, mask_b))
+    
+    # Placeholder: Returning background to verify the pipeline
+    return bg 
+
+# Define the Gradio Blocks Layout
+with gr.Blocks(title="PICS: Pairwise Image Compositing") as demo:
+    gr.Markdown("# 🚀 PICS: Pairwise Image Compositing with Spatial Interactions")
+    gr.Markdown("Interactive demo for **Pairwise** spatial reasoning. Please upload objects and draw/upload their respective masks.")
+
+    with gr.Row():
+        with gr.Column(scale=2):
+            # Input Section 1: Background Scene
+            bg_input = gr.Image(label="1. Scene Background", type="pil")
+            
+            with gr.Row():
+                # Input Section 2: Object A with Interactive Masking
+                with gr.Column():
+                    obj_a_input = gr.ImageEditor(
+                        label="2. Object A (Image + Mask)", 
+                        type="pil", 
+                        layers=True, # Allows users to draw masks directly
+                        canvas_size=(512, 512)
+                    )
+                # Input Section 3: Object B with Interactive Masking
+                with gr.Column():
+                    obj_b_input = gr.ImageEditor(
+                        label="3. Object B (Image + Mask)", 
+                        type="pil", 
+                        layers=True,
+                        canvas_size=(512, 512)
+                    )
+            
+            # Action Button
+            run_btn