Update app.py

app.py

@@ -1,4 +1,4 @@
-# app.py - FactoryGPT 5.0: Custom 3D Factory Layout + Real-Time Status and Role Chatbot
+# app.py - FactoryGPT 5.0: Predictive Maintenance + Role Chat (No 3D Map)
 
 import streamlit as st
 import pandas as pd
@@ -6,19 +6,18 @@ import numpy as np
 from sentence_transformers import SentenceTransformer
 from transformers import pipeline
 from sklearn.ensemble import IsolationForest
-import pydeck as pdk
 
-# Page configuration
+# Page setup
 st.set_page_config(
-    page_title="FactoryGPT Humanization for the Factories of the Future in Industry 5.0 – Predict, Perfect, and Connect",
+    page_title="FactoryGPT 5.0 – Predict, Perfect, and Connect",
     page_icon="🧠",
     layout="wide"
 )
 
-# Dark theme styling
+# Dark mode CSS
 st.markdown("""
     <style>
-    html, body, [class*="css"]  {
+    html, body, [class*="css"] {
         font-family: 'Segoe UI', sans-serif;
         background-color: #0f1117;
         color: #f0f0f0;
@@ -34,11 +33,11 @@ st.markdown("""
     </style>
 """, unsafe_allow_html=True)
 
-# Header
+# Title
 st.markdown("""
     <div style='text-align: center;'>
-        <h1 style='color: #58a6ff;'>🏭 FactoryGPT Humanization for the Factories of the Future in Industry 5.0 – Predict, Perfect, and Connect</h1>
-        <p style='color: #bbb;'>AI-Powered Digital Twin | Real-Time Sensor Health with Custom 3D Layout</p>
+        <h1 style='color: #58a6ff;'>🏭 FactoryGPT 5.0 – Predict, Perfect, and Connect</h1>
+        <p style='color: #bbb;'>AI-Powered Predictive Maintenance | Human-in-the-Loop Decision Support</p>
         <hr style='border-top: 2px solid #888;'>
     </div>
 """, unsafe_allow_html=True)
@@ -58,7 +57,7 @@ if uploaded_file:
     st.markdown("### 🧾 Sensor Log Preview")
     st.dataframe(df.head(), use_container_width=True)
 
-    # Prepare RAG chunks
+    # RAG Embeddings
     def convert_to_chunks(df):
         return [f"[Log {i}] " + ", ".join([f"{col}: {row[col]:.2f}" for col in numeric_cols]) for i, row in df.iterrows()]
 
@@ -68,7 +67,7 @@ if uploaded_file:
         st.session_state.chunks = chunks
         st.session_state.embeddings = embeddings
 
-    # Condition Detection
+    # Equipment condition via Isolation Forest
     st.markdown("### ⚙️ Equipment Condition Status")
     iso = IsolationForest(contamination=0.02)
     labels = iso.fit_predict(df[numeric_cols])
@@ -76,40 +75,7 @@ if uploaded_file:
     df['maintenance'] = ['🔧 Needs Maintenance' if x == -1 else '🟢 Stable' for x in labels]
     st.dataframe(df[['status', 'maintenance'] + numeric_cols].head(), use_container_width=True)
 
-    # 🧭 Custom 3D Layout Visualization
-    st.markdown("### 🧭 3D Digital Factory Layout (Custom Zones)")
-    zones = ["Assembly", "Packaging", "Inspection", "Robotics", "Warehouse"]
-    df['zone'] = np.random.choice(zones, size=len(df))
-
-    zone_coords = {
-        "Assembly": [0, 0],
-        "Packaging": [10, 5],
-        "Inspection": [5, 15],
-        "Robotics": [15, 10],
-        "Warehouse": [20, 0]
-    }
-
-    df['lat'] = df['zone'].map(lambda z: zone_coords[z][1] + np.random.rand() * 0.5)
-    df['lon'] = df['zone'].map(lambda z: zone_coords[z][0] + np.random.rand() * 0.5)
-    df['value'] = df[numeric_cols[0]] if numeric_cols else 0
-
-    view_state = pdk.ViewState(latitude=10, longitude=10, zoom=2, pitch=45)
-    layer = pdk.Layer(
-        "ScatterplotLayer",
-        data=df.head(500),
-        get_position='[lon, lat]',
-        get_color='[255, 140, 0, 180]',
-        get_radius='value',
-        pickable=True
-    )
-
-    st.pydeck_chart(pdk.Deck(
-        layers=[layer],
-        initial_view_state=view_state,
-        tooltip={"text": "Zone: {zone}\nStatus: {status}\nMaintenance: {maintenance}"}
-    ))
-
-    # 💬 Role-based Chat Assistant
+    # Role-based Assistant
     st.markdown("### 💬 Role-Based Chat Assistant")
     roles = {
         "Operator": "You are a machine operator. Check if equipment is running properly. If not, flag it immediately.",