Update app.py

app.py

@@ -3,26 +3,35 @@ from google import genai
 import os
 from PIL import Image
 
-def analyze_property(past_img, present_img):
-    # Retrieve the API Key from Secrets
+def ground_truth_audit(past_img, present_img):
+    """
+    Forensic structural audit using Gemini Robotics-ER 1.5.
+    Uses the new google-genai SDK for stability.
+    """
     api_key = os.environ.get("GOOGLE_API_KEY")
     if not api_key:
-        return "## Error\nAPI Key missing. Please add GOOGLE_API_KEY to your Space Secrets."
+        return "## Configuration Error\nAPI Key missing. Please set GOOGLE_API_KEY in Space Secrets."
 
-    # Initialize the NEW google-genai client
+    # Initialize the new SDK client
     client = genai.Client(api_key=api_key)
     
     if past_img is None or present_img is None:
-        return "Please upload both images to begin."
+        return "Error: Please upload both 'Past' and 'Present' images."
 
+    # Robotics-specific prompt for spatial reasoning
     prompt = """
     Perform a high-fidelity structural audit comparing these two images.
-    Identify changes in roofing, landscaping, and exterior condition.
-    Determine the Maintenance Trajectory: IMPROVING, DECLINING, or STABLE.
+    Focus on:
+    1. Roofing & Gutters (wear, shingle quality, replacement evidence)
+    2. Landscaping (maturity, maintenance, or invasive overgrowth)
+    3. Exterior Envelope (paint, siding, window fixtures)
+    
+    Output a 'Maintenance Trajectory' as: IMPROVING, DECLINING, or STABLE.
+    Include specific physical evidence for your conclusion.
     """
 
     try:
-        # Using the new google-genai SDK format
+        # Generate content using the Robotics-ER preview model
         response = client.models.generate_content(
             model="gemini-robotics-er-1.5-preview",
             contents=[prompt, past_img, present_img]
@@ -33,26 +42,21 @@ def analyze_property(past_img, present_img):
     except Exception as e:
         return f"## Analysis Failed\n{str(e)}"
 
-# --- UI Setup ---
-# Simplifying the Block structure to resolve the Gradio schema error
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("# 🏠 GroundTruth: Temporal Property Sentinel")
-    gr.Markdown("Identify 'Pride of Ownership' and structural changes across time.")
-    
-    with gr.Row():
-        with gr.Column():
-            past_input = gr.Image(label="Past Condition", type="pil")
-            present_input = gr.Image(label="Present Condition", type="pil")
-            submit_btn = gr.Button("Analyze Structural Trajectory", variant="primary")
-        
-        with gr.Column():
-            output_text = gr.Markdown(label="Structural Audit Report")
-
-    submit_btn.click(
-        fn=analyze_property,
-        inputs=[past_input, present_input],
-        outputs=output_text
-    )
+# Define the Interface for maximum stability
+# gr.Interface handles the side-by-side layout and 'Analyze' button automatically
+demo = gr.Interface(
+    fn=ground_truth_audit,
+    inputs=[
+        gr.Image(label="Past Condition (Historical)", type="pil"),
+        gr.Image(label="Present Condition (Current)", type="pil")
+    ],
+    outputs=gr.Markdown(),
+    title="🏠 GroundTruth: Temporal Property Sentinel",
+    description="Powered by Gemini Robotics-ER 1.5. A forensic engine for tracking property 'Pride of Ownership' over time.",
+    theme="soft",
+    allow_flagging="never"
+)
 
-# The queue is still needed for stable performance on Hugging Face
-demo.queue().launch()
+if __name__ == "__main__":
+    # Enabling queue ensures the server can handle the 10-20s latency
+    demo.queue().launch()