Update app.py

app.py

@@ -1667,20 +1667,6 @@ def create_enhanced_ui():
                         label="Predictive Forecasts",
                         value={}
                     )
-
-                with gr.Accordion("🤖 Claude AI Synthesis", open=True):
-                    gr.Markdown("""
-                    **Claude Opus 4.5 Executive Summary:**
-                    - 📋 Incident synthesis from all agents
-                    - 🎯 Root cause identification
-                    - 💡 Recommended recovery actions
-                    - ⏰ Impact and recovery time estimates
-                    """)
-                    
-                    claude_output = gr.Markdown(
-                        value="*Claude AI synthesis will appear here after incident analysis*",
-                        label="AI Executive Summary"
-                    )
                 
                 gr.Markdown("### 📈 Recent Events (Last 15)")
                 events_table = gr.Dataframe(
@@ -1805,44 +1791,12 @@ def create_enhanced_ui():
                 
                 agent_insights_data = result.get("multi_agent_analysis", {})
                 predictive_insights_data = agent_insights_data.get('predictive_insights', {})
-                
-                # Extract Claude synthesis for display
-                claude_synthesis = result.get('claude_synthesis', {})
-                claude_text = claude_synthesis.get('summary', '*No Claude synthesis available*')
-                
-                # Format Claude output beautifully
-                claude_display = f"""
-### 🤖 Claude Opus 4.5 Executive Analysis
-
-{claude_text}
-
----
-*Generated: {claude_synthesis.get('timestamp', 'N/A')}*  
-*Model: {claude_synthesis.get('source', 'claude-opus-4')}*
-"""
-                
-                return (
-                    output_msg,
-                    agent_insights_data,
-                    predictive_insights_data,
-                    claude_display,
-                    gr.Dataframe(
-                        headers=["Timestamp", "Component", "Latency", "Error Rate", "Throughput", "Severity", "Analysis"],
-                        value=table_data,
-                        wrap=True
-                    )
-                )
-                
-            except Exception as e:
-                error_msg = f"❌ Error processing event: {str(e)}"
-                logger.error(error_msg, exc_info=True)
-                return error_msg, {}, {}, "*Processing error*", gr.Dataframe(value=[])
         
         # FIXED: Use async handler directly
         submit_btn.click(
             fn=submit_event_enhanced_async,
             inputs=[component, latency, error_rate, throughput, cpu_util, memory_util],
-            outputs=[output_text, agent_insights, predictive_insights, claude_output, events_table]
+            outputs=[output_text, agent_insights, predictive_insights, events_table]
         )
     
     return demo