Update app.py

app.py

@@ -22,6 +22,9 @@ from plotly.subplots import make_subplots
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
 logger = logging.getLogger(__name__)
 
+# Global variable for feedback
+last_task_category = None
+
 # ARF components
 from agentic_reliability_framework.runtime.engine import EnhancedReliabilityEngine
 from agentic_reliability_framework.core.models.event import ReliabilityEvent
@@ -484,6 +487,26 @@ def generate_action_timeline():
     fig.update_layout(title="Autonomous Actions Timeline", xaxis_title="Time", yaxis_title="Approved (1) / Blocked (0)")
     return fig
 
+# ========== Dashboard Refresh Function ==========
+def refresh_dashboard():
+    """Compute latest stats and return updated dashboard components."""
+    total = len(decision_history)
+    approved = sum(1 for _, d, _ in decision_history if d.get("approved", False))
+    blocked = total - approved
+    avg_risk = np.mean([r for _, r in risk_history]) if risk_history else 0.5
+    control_stats = {
+        "total_decisions": total,
+        "approved_actions": approved,
+        "blocked_actions": blocked,
+        "average_risk": float(avg_risk)
+    }
+    return (
+        control_stats,
+        generate_risk_gauge(),
+        generate_decision_pie(),
+        generate_action_timeline()
+    )
+
 # ----------------------------------------------------------------------
 # Gradio UI with Governance Focus
 # ----------------------------------------------------------------------
@@ -532,8 +555,8 @@ with gr.Blocks(title="ARF v4 – Autonomous AI Control Plane", theme="soft") as
             # Refresh button for dashboard
             refresh_dash_btn = gr.Button("Refresh Dashboard")
             refresh_dash_btn.click(
-                fn=lambda: (generate_risk_gauge(), generate_decision_pie(), generate_action_timeline()),
-                outputs=[risk_gauge, decision_pie, action_timeline]
+                fn=refresh_dashboard,
+                outputs=[control_stats, risk_gauge, decision_pie, action_timeline]
             )
 
         # Tab 2: Text Generation with Governance