Update app.py

app.py

@@ -1714,37 +1714,32 @@ with col_insights:
     else:
         st.info("Shift data not available for Shift Pattern Analysis.")
 
+# 4. Operator Risk Profiling
 # 4. Operator Risk Profiling
 if col_operator and col_operator in df.columns:
     operator_alerts = df[col_operator].value_counts()
     top_risk_operators = operator_alerts.head(5)  # Top 5 operators by alerts
 
-    st.markdown(f"**High-Risk Operator Identification**")
+    st.markdown("**High-Risk Operator Identification**")
 
     # Warna berdasarkan ranking 1–5
     colors = ["#d32f2f", "#e57373", "#ef9a9a", "#ffcdd2", "#ffe1e4"]
 
     for idx, (op_name, count) in enumerate(top_risk_operators.items()):
         op_pct = (count / len(df)) * 100
-        color = colors[idx]  # warna sesuai ranking
+        color = colors[idx] if idx < len(colors) else colors[-1]
+
+        # Teks normal untuk nama dan jumlah alert
+        st.markdown(f"**Operator:** {op_name}  \n**Alerts:** {count}")
 
-        # Kotak background warna (CSS)
+        # Hanya 'Share' yang berwarna sesuai ranking
         st.markdown(
-            f"""
-            <div style="
-                background-color:{color};
-                padding:12px;
-                border-radius:10px;
-                margin-bottom:8px;">
-                <b>Operator: {op_name}</b><br>
-                Alerts: {count}<br>
-                Share: {op_pct:.1f}% of total alerts
-            </div>
-            """,
+            f"<span style='font-weight:600'>Share:</span> "
+            f"<span style='color:{color}; font-weight:700'>{op_pct:.1f}% of total alerts</span>",
             unsafe_allow_html=True
         )
 
-        # Risk message
+        # Risk message (tetap gunakan component Streamlit agar konsisten)
         if op_pct > 5:
             st.warning(f"Operator {op_name} has high fatigue risk ({op_pct:.1f}%). Consider coaching or rest plan.")
         else: