Update app.py

app.py

@@ -16,7 +16,7 @@ st.set_page_config(
     initial_sidebar_state="expanded"
 )
 
-# ================= CUSTOM CSS (Dark White + Power BI Style Filters + LLM Insight Boxes) =================
+# ================= CUSTOM CSS 
 st.markdown("""
 <style>
 /* ================= ROOT & COLORS ================= */
@@ -455,25 +455,29 @@ with col2:
         )
     )
     st.plotly_chart(fig2, use_container_width=True)
-# Insight 1
-# Analisis data untuk menentukan pola
+# Insight 1 — Fisika & Mekanikal
 front_pressure_avg = dff[dff['Position'].isin([1, 2])]['Pressure (psi)'].mean()
 rear_pressure_avg = dff[dff['Position'].isin([3, 4])]['Pressure (psi)'].mean()
 front_temp_avg = dff[dff['Position'].isin([1, 2])]['Temperature (°C)'].mean()
 rear_temp_avg = dff[dff['Position'].isin([3, 4])]['Temperature (°C)'].mean()
 
+# Fisika: Tekanan rendah → deformasi besar → hysteresis → panas lebih banyak
+# Mekanikal: Ban depan tanggung beban pengereman & kemudi → stres lebih tinggi
 if front_pressure_avg < rear_pressure_avg and front_temp_avg > rear_temp_avg:
     insight_text = f"""
-Front tyres (Pos 1 & 2): Higher average pressure and temperature ({front_pressure_avg:.1f} psi, {front_temp_avg:.1f}°C) indicate higher loading and heat generation. Rear tyres (Pos 3 & 4): Lower average temperature ({rear_temp_avg:.1f}°C) suggests lighter effective loading.
+Front tyres (Pos 1 & 2): Lower pressure ({front_pressure_avg:.1f} psi) causes higher deformation causes hysteresis increased  and elevated temperature ({front_temp_avg:.1f}°C). Rear tyres (Pos 3 & 4): Higher pressure ({rear_pressure_avg:.1f} psi) reduces deformation and make lower heat generation ({rear_temp_avg:.1f}°C), more stable under static load.
 """
+
 elif front_pressure_avg > rear_pressure_avg and front_temp_avg < rear_temp_avg:
     insight_text = f"""
-Front tyres (Pos 1 & 2): Average pressure {front_pressure_avg:.1f} psi and average temperature {front_temp_avg:.1f}°C show lower heat levels compared to the rear tyres. Rear tyres (Pos 3 & 4): Average pressure {rear_pressure_avg:.1f} psi and average temperature {rear_temp_avg:.1f}°C show higher heat levels.
+Front tyres: Higher pressure ({front_pressure_avg:.1f} psi) reduces deformation, lower heat ({front_temp_avg:.1f}°C), less mechanical stress. Rear tyres: Lower pressure ({rear_pressure_avg:.1f} psi) increases deformation, higher heat ({rear_temp_avg:.1f}°C) potential overloading or misalignment.
 """
+
 else:
     insight_text = f"""
-Front tyres: Pressure {front_pressure_avg:.1f} psi, temperature {front_temp_avg:.1f}°C. Rear tyres: Pressure {rear_pressure_avg:.1f} psi, temperature {rear_temp_avg:.1f}°C.
+Front tyres: Pressure {front_pressure_avg:.1f} psi, temperature {front_temp_avg:.1f}°C → stable under current load/pressure balance. Rear tyres: Pressure {rear_pressure_avg:.1f} psi, temperature {rear_temp_avg:.1f}°C → balanced operation.
 """
+
 st.markdown(f"""
 <div class="insight-box">
     <div class="content">
@@ -662,7 +666,7 @@ else:
         insight_lines.append(f"Front tyres (Pos 1 & 2) account for {front_pct:.1f}% of all alarms, indicating higher stress or usage intensity upfront.")
     if top_zone != "N/A":
         insight_lines.append(f"Zone {top_zone} records the highest alarm frequency across all positions.")
-    insight_lines.append("• Alarm clustering in specific hours and front positions suggests opportunity for targeted inspection scheduling.")
+    insight_lines.append("Alarm clustering in specific hours and front positions suggests opportunity for targeted inspection scheduling.")
 
     insight_text = "\n".join(insight_lines)