Update app.py

app.py

@@ -1615,11 +1615,11 @@ def predict_categories(df):
     df_res = pd.DataFrame(results)
     
     # ✅ FILTER: Coverage = 100% AND Trend Slope > 0
-    if not df_res.empty:
-        df_res = df_res[
-            (df_res['Coverage (%)'] == 100.0) &
-            (df_res['Trend Slope'] > 0)
-        ].copy()
+    if not df_res.empty:df_res
+        # df_res = df_res[
+        #     (df_res['Coverage (%)'] == 100.0) &
+        #     (df_res['Trend Slope'] > 0)
+        # ].copy()
         
         df_res['Status'] = df_res['Trend Slope'].apply(
             lambda s: "<span class='trend-rising'>High-Risk Rising</span>" if s > 0.2 else
@@ -1744,7 +1744,7 @@ if not df_division.empty:
 st.markdown("</div>", unsafe_allow_html=True)
 
 # 🎯 PANEL 4: Categories (FILTERED: Non-Positive + Coverage=100% & Rising)
-st.markdown("<div class='predictive-panel'>", unsafe_allow_html=True)
+# st.markdown("<div class='predictive-panel'>", unsafe_allow_html=True)
 st.markdown(
     "<div class='predictive-header'>"
     "4. Which Issue Categories Are Likely to Appear in the Next 3 Months (Non-Positive Only)"
@@ -1755,16 +1755,16 @@ st.markdown(
     unsafe_allow_html=True
 )
 
-if not df_category.empty:
-    cols = ['Category', 'Avg/Month', 'Coverage (%)', 'Trend Slope', 'Status', 'Trend']
+# if not df_category.empty:
+#     cols = ['Category', 'Avg/Month', 'Coverage (%)', 'Trend Slope', 'Status', 'Trend']
 
-    # 🔵 Rename ONLY for display
-    df_display = df_category[cols].rename(columns={
-        "Status": "Status Issue for Next Month"
-    })
+#     # 🔵 Rename ONLY for display
+#     df_display = df_category[cols].rename(columns={
+#         "Status": "Status Issue for Next Month"
+#     })
 
-    html = df_display.to_html(escape=False, index=False, table_id="tbl-categories")
-    st.markdown(f"<div class='predictive-table-wrapper'>{html}</div>", unsafe_allow_html=True)
+#     html = df_display.to_html(escape=False, index=False, table_id="tbl-categories")
+#     st.markdown(f"<div class='predictive-table-wrapper'>{html}</div>", unsafe_allow_html=True)
 
 #     st.markdown(
 #         "<div class='predictive-note'>"
@@ -1787,11 +1787,11 @@ if not df_category.empty:
 #         unsafe_allow_html=True
 #     )
 
-st.markdown("</div>", unsafe_allow_html=True)
+# st.markdown("</div>", unsafe_allow_html=True)
 
 
 # =================== WHITEBOARD STYLE CHART FOR PANEL 4 ===================
-st.markdown("<h4 style='text-align: center; color: #2c3e50;'>Whiteboard Insight: Trend vs Frequency</h4>", unsafe_allow_html=True)
+# st.markdown("<h4 style='text-align: center; color: #2c3e50;'>Whiteboard Insight: Trend vs Frequency</h4>", unsafe_allow_html=True)
 
 # Buat chart scatter dengan gaya whiteboard
 if not df_category.empty: