Update app.py

app.py

@@ -1,62 +1,46 @@
 import gradio as gr
 from google import genai
 import os
-from PIL import Image
 
 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 "## Configuration Error\nAPI Key missing. Please set GOOGLE_API_KEY in Space Secrets."
+        return "## Error: GOOGLE_API_KEY not found in Space Secrets."
 
-    # Initialize the new SDK client
     client = genai.Client(api_key=api_key)
     
-    if past_img is None or present_img is None:
-        return "Error: Please upload both 'Past' and 'Present' images."
-
-    # Robotics-specific prompt for spatial reasoning
+    # Robotics-ER 1.5 requires precise prompts for spatial reasoning
     prompt = """
-    Perform a high-fidelity structural audit comparing these two images.
-    Focus on:
-    1. Roofing & Gutters (wear, shingle quality, replacement evidence)
-    2. Landscaping (maturity, maintenance, or invasive overgrowth)
-    3. Exterior Envelope (paint, siding, window fixtures)
+    Perform a structural audit comparing these two images.
+    1. Roofing & Gutters: Look for shingle wear or replacement.
+    2. Landscaping: Identify maturity or neglect.
+    3. Exterior: Check paint and siding condition.
     
-    Output a 'Maintenance Trajectory' as: IMPROVING, DECLINING, or STABLE.
-    Include specific physical evidence for your conclusion.
+    Conclude with a 'Maintenance Trajectory': IMPROVING, STABLE, or DECLINING.
     """
 
     try:
-        # Generate content using the Robotics-ER preview model
+        # Call the Robotics-ER 1.5 preview model
         response = client.models.generate_content(
             model="gemini-robotics-er-1.5-preview",
             contents=[prompt, past_img, present_img]
         )
-        
         return response.text
-        
     except Exception as e:
         return f"## Analysis Failed\n{str(e)}"
 
-# Define the Interface for maximum stability
-# gr.Interface handles the side-by-side layout and 'Analyze' button automatically
+# The Interface class is the 'Architectural Safe Mode' for Gradio
 demo = gr.Interface(
     fn=ground_truth_audit,
     inputs=[
-        gr.Image(label="Past Condition (Historical)", type="pil"),
-        gr.Image(label="Present Condition (Current)", type="pil")
+        gr.Image(label="Past Condition", type="pil"),
+        gr.Image(label="Present Condition", 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"
+    title="GroundTruth AI",
+    description="Spatial Property Analysis via Gemini Robotics-ER 1.5",
+    theme="default"
 )
 
 if __name__ == "__main__":
-    # Enabling queue ensures the server can handle the 10-20s latency
-    demo.queue().launch()
+    demo.launch()