Update app.py

app.py

@@ -2,51 +2,44 @@ import gradio as gr
 from google import genai
 import os
 
-def ground_truth_audit(past_img, present_img):
-    """Explicitly mapped backend function for GroundTruth."""
+def audit_engine(past_img, present_img):
+    """Forensic structural audit logic."""
     api_key = os.environ.get("GOOGLE_API_KEY")
     if not api_key:
-        return "## Error\nAPI Key not found. Please add GOOGLE_API_KEY to Space Secrets."
+        return "ERROR: GOOGLE_API_KEY not found in Space Secrets."
 
     client = genai.Client(api_key=api_key)
     
     if past_img is None or present_img is None:
         return "Please upload both images."
 
-    prompt = """
-    Perform a structural audit comparing these two images.
-    Look for changes in roofing, landscaping, and exterior condition.
-    Provide a 'Maintenance Trajectory': IMPROVING, STABLE, or DECLINING.
-    """
+    # Robotics-ER 1.5 prompt for structural grounding
+    prompt = "Compare these images for changes in roofing, landscaping, and exterior condition. Output a 'Maintenance Trajectory': IMPROVING, STABLE, or DECLINING."
 
     try:
-        # Utilizing Robotics-ER 1.5 for spatial/temporal analysis
+        # Utilizing the Robotics 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)}"
+        return f"Analysis Failed: {str(e)}"
 
-# Explicitly defining the UI blocks to fix the 'No API found' error
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("# 🏠 GroundTruth AI")
-    gr.Markdown("Temporal Property Sentinel powered by Gemini Robotics-ER 1.5")
+# Minimalist Blocks to bypass the 'TypeError: bool' schema bug
+with gr.Blocks() as demo:
+    gr.HTML("<h1>🏠 GroundTruth AI</h1>")
     
     with gr.Row():
-        with gr.Column():
-            past = gr.Image(label="Past Condition", type="pil")
-            present = gr.Image(label="Present Condition", type="pil")
-            # Explicitly naming the trigger button
-            btn = gr.Button("Analyze Structural Trajectory", variant="primary")
-        
-        with gr.Column():
-            # Explicitly naming the output container
-            out = gr.Markdown(label="Audit Report")
+        p_img = gr.Image(label="Past Image", type="pil")
+        c_img = gr.Image(label="Current Image", type="pil")
+    
+    # Textbox is more stable than Markdown in G5 for schema generation
+    output = gr.Textbox(label="Structural Audit Report")
+    submit = gr.Button("Analyze Trajectory", variant="primary")
 
-    # Manually mapping the click to the API function
-    btn.click(fn=ground_truth_audit, inputs=[past, present], outputs=out)
+    # Explicit event binding
+    submit.click(fn=audit_engine, inputs=[p_img, c_img], outputs=output)
 
-# Mandatory for Gradio 5+ to handle background API processing
+# Queue is essential for the 30s latency of the Robotics model
 demo.queue().launch()