Update app.py

app.py

@@ -243,91 +243,7 @@ def load_data():
     return df
 
 df = load_data()
-# @st.cache_data
-# def load_data():
-#     try:
-#         # Load main data
-#         df = pd.read_excel("df_final.xlsx", sheet_name="Sheet1")
-#         # Load health index data
-#         hi_data = pd.read_excel("hi_final.xlsx")
-#     except FileNotFoundError as e:
-#         st.error(f"❌ File not found: `{e.filename}`")
-#         st.stop()
-#     except Exception as e:
-#         st.error(f"❌ Error loading data: {e}")
-#         st.stop()
-    
-#     # === Proses df_final.xlsx ===
-#     # Fix encoding
-#     df.columns = df.columns.str.replace("Â", "")
-#     for col in df.select_dtypes(include='object').columns:
-#         df[col] = df[col].astype(str).str.replace("Â", "")
-    
-#     # Parse datetime
-#     df['Time'] = pd.to_datetime(df['Time'], errors='coerce')
-#     df = df.dropna(subset=['Time']).copy()
-#     df['hour'] = df['Time'].dt.hour
-    
-#     # Alarm flag
-#     df['is_alarm'] = (~df['Alarm Status'].fillna('').str.contains('No Alarm', case=False)).astype(int)
-    
-#     # Dynamic risk score
-#     p = df['Pressure (psi)']
-#     p_red_high = df['Red High Press (psi)']
-#     p_amber_high = df['Amber High Press (psi)']
-#     t = df['Temperature (°C)']
-#     t_red = df['Absolute Red Temp (°C)']
-#     t_amber = df['Absolute Amber Temp (°C)']
-    
-#     # Avoid division by zero
-#     p_denom = (p_red_high - p_amber_high).replace(0, np.nan)
-#     p_norm = np.clip((p - p_amber_high) / p_denom, 0, 1).fillna(0)
-#     t_denom = (t_red - t_amber).replace(0, np.nan)
-#     t_norm = np.clip((t - t_amber) / t_denom, 0, 1).fillna(0)
-#     df['risk_score'] = 0.6 * p_norm + 0.4 * t_norm
-
-#     def get_risk_label(score):
-#         if score >= 0.8: return 'Very High Risk'
-#         elif score >= 0.6: return 'High Risk'
-#         elif score >= 0.3: return 'Moderate Risk'
-#         else: return 'Slight Risk'
-#     df['Risk Level'] = df['risk_score'].apply(get_risk_label)
-    
-#     # Position Group
-#     df['Position Group'] = df['Position'].map({1: 'Front', 2: 'Front', 3: 'Rear', 4: 'Rear'}).fillna('Other')
-
-#     return df, hi_data  # Kembalikan 2 data
-# # Load both datasets
-# df, hi_data = load_data()
-# # Optional: Info ringkas di sidebar (opsional)
-# with st.sidebar:
-#     st.markdown("### 📊 Dataset Overview")
-#     st.metric("Total Records", f"{len(df):,}")
-#     st.metric("Date Range", f"{df['Time'].min().date()} → {df['Time'].max().date()}")
-#     st.metric("Alarms (Red/Amber)", f"{df['is_alarm'].sum():,} ({df['is_alarm'].mean():.1%})")
-
-# ================= HEADER =================
-st.markdown("""
-<div style="text-align:center; font-family:Arial, sans-serif; margin-bottom:16px;">
-    <h1 style="color:#154D9C; font-weight:bold; margin:0;">
-        Tyre Pressure Monitoring System (TPMS) Analytics for Mining Equipments
-    </h1>
-
-    <p style="font-size:12px; color:#7d7d7d; margin:4px 0 2px 0;">
-        Daily trend insights derived from 13–16 December 2023 data
-    </p>
-
-    <p style="font-size:11px; color:#5DA698; margin:6px 0 2px 0; font-weight:600;">
-        Special Design from <span style="color:#154D9C;">Bukit Technology Digital</span>
-    </p>
 
-    <p style="font-size:10px; color:#7d7d7d; margin:2px 0 10px 0;">
-        &copy; 2025 Bukit Technology Digital. All rights reserved.
-    </p>
-</div>
-""", unsafe_allow_html=True)
-
-# ================= LOGO SECTION (FROM HUGGING FACE URL) =================
 col1, col2, col3 = st.columns([1, 4, 1])
 
 with col1:
@@ -337,72 +253,28 @@ with col1:
     )
 
 with col2:
-    st.write("")  # spacer / kosong
+    st.markdown("""
+    <div style="text-align:center; font-family:Arial, sans-serif; margin-bottom:16px;">
+        <h1 style="color:#154D9C; font-weight:bold; margin:0;">
+            Tyre Pressure Monitoring System (TPMS) Analytics for Mining Equipments
+        </h1>
+        <p style="font-size:12px; color:#7d7d7d; margin:4px 0 2px 0;">
+            Daily trend insights derived from 13–16 December 2023 data
+        </p>
+        <p style="font-size:10px; color:#7d7d7d; margin:2px 0 0 0;">
+            &copy; 2025 Bukit Technology Digital. All rights reserved.
+        </p>
+    </div>
+    """, unsafe_allow_html=True)
 
 with col3:
     st.image(
-        "https://huggingface.co/spaces/bukittechnology/tyre/resolve/main/btech.png",
+        "https://huggingface.co/spaces/bukittechnology/tyre/resolve/main/img-logo-BTech.webp",
         width=120
     )
 
 
 
-# ================= OBJECTIVES (1–6) =================
-
-# # ================= HEADER =================
-# st.markdown("""
-# <div class="main-header" style="text-align:center;">
-#     <h1>Michelin Mining Tyre Analytics</h1>
-#     <p style="font-size:14px; color:#b0b0b0; margin-top:-10px;">
-#         Analysis is based on daily aggregated data
-#     </p>
-# </div>
-# """, unsafe_allow_html=True)
-
-
-
-# ================= LOGO (Perbaikan: Base64 Embed - Selalu Muncul) =================
-# ================= LOGO (Pakai File Lokal - Selalu Muncul di Pojok Kanan Atas) =================
-# import os
-# import streamlit as st
-
-# # ================= PATH AMAN (WAJIB) =================
-# BASE_DIR = os.path.dirname(os.path.abspath(__file__))
-
-# LOGO_MICHELIN = os.path.join(BASE_DIR, "logo.png")
-# LOGO_BTECH = os.path.join(BASE_DIR, "btech.png")
-
-# # ================= HEADER =================
-# with st.container():
-#     col1, col2, col3 = st.columns([1.5, 6, 1.5])
-
-#     # LEFT — Michelin Logo
-#     with col1:
-#         if os.path.exists(LOGO_MICHELIN):
-#             st.image(LOGO_MICHELIN, width=140)
-#         else:
-#             st.markdown("**Michelin**")
-
-#     # CENTER — Title
-#     with col2:
-#         st.markdown("""
-#         <div style="text-align:center;">
-#             <h1 style="margin:0; color:#154D9C; font-weight:800;">
-#                 Tyre Pressure Monitoring System (TPMS) Analytics for Mining Equipments
-#             </h1>
-#             <p style="font-size:12px; color:#7d7d7d; margin-top:6px;">
-#                 Daily trend insights derived from 13–16 December 2023 data
-#             </p>
-#         </div>
-#         """, unsafe_allow_html=True)
-
-#     # RIGHT — BTech Logo
-#     with col3:
-#         if os.path.exists(LOGO_BTECH):
-#             st.image(LOGO_BTECH, width=140)
-#         else:
-#             st.markdown("**BTech**")
-
 # ================= SIDEBAR FILTERS =================
 with st.sidebar:
     st.markdown("### Filter")
@@ -1662,7 +1534,7 @@ st.markdown("""
     font-family: Arial, sans-serif;
     border-top: 1px solid #f0f0f0;
 ">
-    <div style="font-weight: bold; color: #154D9C; margin-bottom: 4px;">
+    <div style="font-weight: bold; color: #7d7d7d; margin-bottom: 4px;">
         Michelin Mining Tyre Analytics
     </div>
     <div style="font-size: 10px; color: #7d7d7d;">