Update app.py

app.py

@@ -0,0 +1,90 @@
+import gradio as gr
+import pandas as pd
+import numpy as np
+import plotly.express as px
+import plotly.graph_objects as go
+from sklearn.linear_model import LinearRegression
+
+# ================= LOAD DATA =================
+try:
+    df = pd.read_excel("df_final.xlsx", sheet_name="Sheet1")
+    # 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'])
+    df['hour'] = df['Time'].dt.hour
+    # Alarm flag
+    df['is_alarm'] = (~df['Alarm Status'].str.contains('No Alarm', na=False)).astype(int)
+except FileNotFoundError:
+    df = pd.DataFrame()  # Empty if file not found
+    print("⚠️ File df_final.xlsx not found. Running with dummy data.")
+
+# ================= SIMULASI PRESSURE BERDASARKAN GRADIEN =================
+# Definisikan rumus gradien berdasarkan tabel Anda
+pressure_formulas = {
+    (10, 'High', 'Min'): (76.658370666499, 0.424510125965938),
+    (10, 'High', 'Max'): (81.0954797166173, 0.445533183),
+    (10, 'Low', 'Min'): (68.02273668, 0.375071782),
+    (10, 'Low', 'Max'): (63.6496681312519, 0.351500420678697),
+    (11, 'High', 'Min'): (102.275273585809, 0.496334109689563),
+    (11, 'High', 'Max'): (108.013017260632, 0.525284752576333),
+    (11, 'Low', 'Min'): (90.4977325517091, 0.446382251463767),
+    (11, 'Low', 'Max'): (84.9683663311582, 0.410110214756436),
+}
+
+def calculate_pressure(tyre_type, temp, condition, min_max):
+    if (tyre_type, condition, min_max) in pressure_formulas:
+        intercept, gradient = pressure_formulas[(tyre_type, condition, min_max)]
+        return intercept + gradient * temp
+    return None
+
+# ================= GRADIO INTERFACE =================
+with gr.Blocks(title="Michelin Mining Tyre Analytics - Simulation") as demo:
+    gr.Markdown("""
+    # 🛞 Michelin Mining Tyre Analytics — Objective 6
+    ### Simulasi Tekanan Ban Berdasarkan Suhu & Jenis Ban
+    Masukkan suhu saat ini dan pilih jenis ban untuk mendapatkan rekomendasi tekanan ideal.
+    """)
+
+    with gr.Row():
+        tyre_type = gr.Radio(["10 (Depan)", "11 (Belakang)"], label="Jenis Ban", value="10 (Depan)")
+        temperature = gr.Slider(40, 70, value=54, step=0.5, label="Suhu Saat Ini (°C)")
+
+    with gr.Row():
+        btn_simulate = gr.Button("Simulasikan Tekanan")
+
+    with gr.Row():
+        output = gr.HTML(label="Hasil Simulasi")
+
+    def simulate_pressure(tyres, temp):
+        tyre_num = int(tyres.split()[0])
+        p_min_high = calculate_pressure(tyre_num, temp, 'High', 'Min')
+        p_max_high = calculate_pressure(tyre_num, temp, 'High', 'Max')
+        p_min_low = calculate_pressure(tyre_num, temp, 'Low', 'Min')
+        p_max_low = calculate_pressure(tyre_num, temp, 'Low', 'Max')
+
+        if p_min_high is None or p_max_high is None or p_min_low is None or p_max_low is None:
+            return "<p style='color:red;'>❌ Tidak dapat menghitung tekanan. Periksa input.</p>"
+
+        # Rekomendasi: Jaga tekanan antara P Min Low dan P Max High
+        recommendation = f"""
+        <div style="background:#f9f9f9; padding:15px; border-radius:8px; font-family:Segoe UI;">
+        <h4>📊 Hasil Simulasi untuk Ban {tyres} pada Suhu {temp}°C</h4>
+        <p><strong>P Min saat Low Pressure:</strong> {p_min_low:.1f} psi</p>
+        <p><strong>P Max saat Low Pressure:</strong> {p_max_low:.1f} psi</p>
+        <p><strong>P Min saat High Pressure:</strong> {p_min_high:.1f} psi</p>
+        <p><strong>P Max saat High Pressure:</strong> {p_max_high:.1f} psi</p>
+        <hr>
+        <p>✅ <strong>Rekomendasi Tekanan Ideal:</strong> Isi angin antara <strong>{p_min_low:.1f} – {p_max_high:.1f} psi</strong> untuk menghindari alarm Amber/Red.</p>
+        <p>⚠️ Jika tekanan saat ini < {p_min_low:.1f} psi → risiko <strong>Low Pressure</strong>.</p>
+        <p>⚠️ Jika tekanan saat ini > {p_max_high:.1f} psi → risiko <strong>High Pressure</strong>.</p>
+        </div>
+        """
+        return recommendation
+
+    btn_simulate.click(simulate_pressure, inputs=[tyre_type, temperature], outputs=output)
+
+demo.launch()