Update app.py

app.py

@@ -1156,10 +1156,12 @@ import streamlit as st
 import pandas as pd
 import numpy as np
 import plotly.graph_objects as go
+
 # =================== OBJECTIVE 5: Operator Fatigue Risk Gradient Dashboard =====================
-# =================== OBJECTIVE 5: Operator Fatigue Risk Gradient Dashboard =====================
 
-st.subheader("OBJECTIVE 5: See Your Team’s Fatigue Hazard Profile!")
+# ... (kode sebelumnya tetap sama) ...
+
+st.subheader("OBJECTIVE 5:See your team’s fatigue Fatigue Hazard Profile!")
 
 # Custom CSS — tetap seperti sebelumnya (sudah sesuai preferensi)
 st.markdown("""
@@ -1385,12 +1387,11 @@ else:
         all_coal = get_all_operators_with_slope(coal_data)
 
         # ===============================================================
-        # LEGEND — UPDATED: 3 kotak horizontal, notes inside each box, "Worsening" labels
+        # LEGEND — UPDATED: Stable → One Time Event, Gray → Yellow
         # ===============================================================
         st.subheader("Hazard Gradient Legend")
         st.markdown("""
         <div class="legend-container">
-            <!-- Worsening Trends -->
             <div class="legend-box">
                 <div class="legend-title">Worsening Trends (Positive Slope):</div>
                 <div class="legend-item">
@@ -1409,12 +1410,10 @@ else:
                     <div class="legend-color" style="background-color: #ffcdd2;"></div>
                     <span>Slight Worsening (0–0.5)</span>
                 </div>
-                <i style="display: block; margin-top: 12px; font-size: 12px; color: #666; font-style: italic;">
+                                <i style="display: block; margin-top: 12px; font-size: 12px; color: #666; font-style: italic;">
                     Note: Positive slope indicates increasing fatigue event frequency over weeks — requires immediate risk mitigation.
                 </i>
             </div>
-
-            <!-- Improving Trends -->
             <div class="legend-box">
                 <div class="legend-title">Improving Trends (Negative Slope):</div>
                 <div class="legend-item">
@@ -1432,22 +1431,19 @@ else:
                 <div class="legend-item">
                     <div class="legend-color" style="background-color: #c8e6c9;"></div>
                     <span>Slight Improvement (−0.5 to 0)</span>
-                </div>
-                <i style="display: block; margin-top: 12px; font-size: 12px; color: #666; font-style: italic;">
-                    Note: Negative slope reflects a consistent decline in fatigue events — indicates effective fatigue management practices.
+                                    <i style="display: block; margin-top: 12px; font-size: 12px; color: #666; font-style: italic;">
+                    Note: Positive slope indicates increasing fatigue event frequency over weeks — requires immediate risk mitigation.
                 </i>
+                </div>
             </div>
-
-            <!-- One-Time Events -->
             <div class="legend-box">
                 <div class="legend-title">One-Time Events (Zero Slope):</div>
                 <div class="legend-item">
                     <div class="legend-color" style="background-color: #FFD700;"></div>
                     <span>One Time Event (0)</span>
                 </div>
-                <i style="display: block; margin-top: 12px; font-size: 12px; color: #666; font-style: italic;">
-                    Note: Slope = 0 by definition when data exists for only one week — trend assessment is not applicable.
-                </i>
+                <br>
+                <i>Note: Applies when an operator has data in only one week — slope is set to 0 by definition.</i>
             </div>
         </div>
         """, unsafe_allow_html=True)
@@ -1674,6 +1670,8 @@ else:
         st.error(f"Error in Top 10 Operator analysis: {str(e)}")
         st.exception(e)  # optionally show full traceback during dev
 
+
+
 # =================== OBJECTIVE 6: Automated Insights & AI Recommendations =====================
 st.subheader("OBJECTIVE 6: Instant Insights & Recommendations")