Update app.py

app.py

@@ -1059,7 +1059,7 @@ try:
 except ImportError:
     WORDCLOUD_AVAILABLE = False
 
-st.markdown("<h3 class='section-title'>4. Most Frequent Unsafe Cases</h3>", 
+st.markdown("<h3 class='section-title'>OBJECTIVE 4 - What Unsafe Issues Appear Most Often?</h3>", 
             unsafe_allow_html=True)
 
 if WORDCLOUD_AVAILABLE:
@@ -1250,7 +1250,8 @@ try:
         # ============================
         # 9. Summary Table
         # ============================
-        st.subheader("Summary (Avg Monthly Count vs Avg Lead Time)")
+        st.markdown("<h3 style='font-size:12px; margin-bottom:6px;'>Summary (Avg Monthly Count vs Avg Lead Time)</h3>",unsafe_allow_html=True)
+
         st.dataframe(
             risk_matrix.sort_values("Finding Count", ascending=False),
             use_container_width=True
@@ -1585,7 +1586,7 @@ st.markdown("</div>", unsafe_allow_html=True)
 st.markdown("<div class='predictive-panel'>", unsafe_allow_html=True)
 st.markdown(
     "<div class='predictive-header'>"
-    "3. Which Issue Categories Are Likely to Appear in the Next 3 Months (Non Positive Only)"
+    "2. Which Issue Categories Are Likely to Appear in the Next 3 Months (Non Positive Only)"
     "<span style='font-size:0.75em; font-weight:400; color:#003DA5;'>"
     " &nbsp;&nbsp;(* Categorization uses NLP — Natural Language Processing from random text)"
     "</span>"