Create app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+import os
+from PIL import Image
+
+# --- Configuration ---
+# You'll set this 'GOOGLE_API_KEY' secret in the Settings tab later
+api_key = os.environ.get("GOOGLE_API_KEY")
+if api_key:
+    genai.configure(api_key=api_key)
+
+def analyze_property(past_img, present_img):
+    if not api_key:
+        return "## Error\nAPI Key not configured. Please add GOOGLE_API_KEY to your Space Secrets."
+    
+    if past_img is None or present_img is None:
+        return "Please upload both images to begin the analysis."
+
+    # Initialize the Robotics-ER 1.5 model for spatial/temporal reasoning
+    model = genai.GenerativeModel("gemini-robotics-er-1.5-preview")
+    
+    prompt = """
+    You are an expert structural analyst. Compare these two images of the same property.
+    Focus on:
+    1. Roofing & Gutters (wear, replacement, sagging)
+    2. Landscaping (maturity, maintenance, overgrowth)
+    3. Exterior Envelope (paint condition, siding, updated fixtures)
+    
+    Determine the Maintenance Trajectory: IMPROVING, DECLINING, or STABLE.
+    """
+    
+    # Send both images to the VLM for temporal reasoning
+    response = model.generate_content([prompt, past_img, present_img])
+    return response.text
+
+# --- Custom UI Layout ---
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 🏠 GroundTruth: Temporal Property Sentinel")
+    gr.Markdown("### Powered by Google Gemini Robotics-ER 1.5")
+    gr.Markdown("Identify 'Pride of Ownership' and structural changes across time using advanced spatial AI.")
+    
+    with gr.Row():
+        with gr.Column():
+            past_input = gr.Image(label="Past Condition (e.g., 2020)", type="pil")
+            present_input = gr.Image(label="Present Condition (e.g., 2026)", type="pil")
+            submit_btn = gr.Button("Analyze Structural Trajectory", variant="primary")
+        
+        with gr.Column():
+            output_text = gr.Markdown(label="Analysis Results")
+
+    submit_btn.click(
+        fn=analyze_property,
+        inputs=[past_input, present_input],
+        outputs=output_text
+    )
+
+    gr.Markdown("---")
+    gr.Markdown("*Licensed under Apache 2.0. Built for Real Estate Professionals.*")
+
+if __name__ == "__main__":
+    demo.launch()