Create app.py

app.py

@@ -0,0 +1,70 @@
+import streamlit as st
+import pandas as pd
+import joblib
+import numpy as np
+import plotly.graph_objects as go
+
+# Set Page Config
+st.set_page_config(page_title="AI Predictive Maintenance", layout="wide")
+
+# Load Model
+@st.cache_resource
+def load_model():
+    return joblib.load('engine_model.pkl')
+
+model = load_model()
+
+st.title("✈️ Smart Maintenance: Jet Engine RUL Predictor")
+st.markdown("---")
+
+# Layout: 2 Columns
+col1, col2 = st.columns([1, 2])
+
+with col1:
+    st.header("📥 Sensor Inputs")
+    cycle = st.slider("Current Flight Cycles", 1, 350, 100)
+    s2 = st.number_input("Sensor 2 (LPC Outlet Temp)", value=642.0)
+    s3 = st.number_input("Sensor 3 (HPC Outlet Temp)", value=1585.0)
+    s4 = st.number_input("Sensor 4 (LPT Outlet Temp)", value=1405.0)
+    s7 = st.number_input("Sensor 7 (HPC Outlet Press)", value=553.0)
+    s11 = st.number_input("Sensor 11 (HPC Speed)", value=47.5)
+    
+    # Static values for remaining features to simplify UI
+    other_features = [550, 2388, 521, 8.4, 392, 39, 23] 
+
+    if st.button("Analyze Engine Health", type="primary"):
+        inputs = np.array([[cycle, s2, s3, s4, s7, s11] + other_features])
+        prediction = model.predict(inputs)[0]
+        st.session_state['prediction'] = max(0, int(prediction))
+
+with col2:
+    st.header("📊 Diagnostic Results")
+    if 'prediction' in st.session_state:
+        rul = st.session_state['prediction']
+        
+        # 1. Visual Gauge Chart
+        fig = go.Figure(go.Indicator(
+            mode = "gauge+number",
+            value = rul,
+            title = {'text': "Remaining Useful Life (Cycles)"},
+            gauge = {
+                'axis': {'range': [0, 200]},
+                'bar': {'color': "black"},
+                'steps' : [
+                    {'range': [0, 30], 'color': "red"},
+                    {'range': [30, 70], 'color': "yellow"},
+                    {'range': [70, 200], 'color': "green"}],
+            }
+        ))
+        st.plotly_chart(fig)
+
+        # 2. Status Logic
+        if rul < 30:
+            st.error(f"CRITICAL: Engine failure likely within {rul} cycles. Ground the aircraft immediately!")
+        elif rul < 70:
+            st.warning(f"CAUTION: Maintenance due soon. Estimated life: {rul} cycles.")
+        else:
+            st.success(f"HEALTHY: Engine is operating within safe parameters ({rul} cycles remaining).")
+
+st.markdown("---")
+st.info("B.Tech AI&DS Special Project: Industrial Time-Series Forecasting")