Update app.py

app.py

@@ -1593,7 +1593,7 @@ def create_enhanced_ui():
         # 🧠 Agentic Reliability Framework
         **Multi-Agent AI System for Production Reliability**
         
-        *Specialized AI agents working together to detect, diagnose, predict, and heal system issues*
+        _Specialized AI agents working together to detect, diagnose, predict, and heal system issues_
         
         """)
         
@@ -1716,7 +1716,7 @@ def create_enhanced_ui():
                 allowed, rate_msg = rate_limiter.is_allowed()
                 if not allowed:
                     logger.warning(f"Rate limit exceeded")
-                    return rate_msg, {}, {}, "*Rate limit exceeded*", gr.Dataframe(value=[])
+                    return rate_msg, {}, {}, gr.Dataframe(value=[])
                 
                 # Type conversion
                 try:
@@ -1728,7 +1728,7 @@ def create_enhanced_ui():
                 except (ValueError, TypeError) as e:
                     error_msg = f"❌ Invalid input types: {str(e)}"
                     logger.warning(error_msg)
-                    return error_msg, {}, {}, "*Invalid input type*", gr.Dataframe(value=[])
+                    return error_msg, {}, {}, gr.Dataframe(value=[])
                 
                 # Input validation
                 is_valid, error_msg = validate_inputs(
@@ -1736,7 +1736,7 @@ def create_enhanced_ui():
                 )
                 if not is_valid:
                     logger.warning(f"Invalid input: {error_msg}")
-                    return error_msg, {}, {}, "*Validation failed*", gr.Dataframe(value=[])
+                    return error_msg, {}, {}, gr.Dataframe(value=[])
                 
                 # FIXED: Direct async call - no event loop creation needed
                 result = await enhanced_engine.process_event_enhanced(
@@ -1745,7 +1745,7 @@ def create_enhanced_ui():
                 
                 # Handle errors
                 if 'error' in result:
-                    return f"❌ {result['error']}", {}, {}, "*Error occurred*", gr.Dataframe(value=[])
+                    return f"❌ {result['error']}", {}, {}, gr.Dataframe(value=[])
                 
                 # Build table data (THREAD-SAFE)
                 table_data = []
@@ -1791,6 +1791,23 @@ def create_enhanced_ui():
                 
                 agent_insights_data = result.get("multi_agent_analysis", {})
                 predictive_insights_data = agent_insights_data.get('predictive_insights', {})
+                
+                # RETURN THE RESULTS
+                return (
+                    output_msg,
+                    agent_insights_data,
+                    predictive_insights_data,
+                    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, {}, {}, gr.Dataframe(value=[])
         
         # FIXED: Use async handler directly
         submit_btn.click(