Update app.py

app.py

@@ -1,4 +1,4 @@
-# app.py - FactoryRAG+: Smart Chatbot with Role-Based Assistant, Dashboard, PDF, and Digital Twin
+# app.py - FactoryGPT: FactoryGPT Humanization for the Factories of the Future in Industry 5.0 – Predict, Perfect, and Connect
 
 import streamlit as st
 import pandas as pd
@@ -29,17 +29,17 @@ if uploaded_file:
     st.subheader("📊 Sensor Snapshot")
     st.dataframe(df.head())
 
-    # --- Multi-signal Dashboard ---
-    st.subheader("📈 Sensor Dashboard")
-    selected_cols = st.multiselect("Select signals to visualize", numeric_cols, default=numeric_cols[:3])
-    fig, ax = plt.subplots(len(selected_cols), 1, figsize=(8, 2 * len(selected_cols)))
-    if len(selected_cols) == 1:
-        ax = [ax]
-    for i, col in enumerate(selected_cols):
-        ax[i].plot(df[col], label=col)
-        ax[i].set_ylabel(col)
-        ax[i].legend()
-    st.pyplot(fig)
+    # --- Multi-signal Dashboard (Collapsible) ---
+    with st.expander("📈 Expand to View Sensor Dashboard", expanded=False):
+        selected_cols = st.multiselect("Select signals to visualize", numeric_cols, default=numeric_cols[:3])
+        fig, ax = plt.subplots(len(selected_cols), 1, figsize=(8, 2 * len(selected_cols)))
+        if len(selected_cols) == 1:
+            ax = [ax]
+        for i, col in enumerate(selected_cols):
+            ax[i].plot(df[col], label=col)
+            ax[i].set_ylabel(col)
+            ax[i].legend()
+        st.pyplot(fig)
 
     # --- Convert Logs to Chunks ---
     def convert_to_chunks(df):
@@ -49,7 +49,6 @@ if uploaded_file:
             chunks.append(sentence)
         return chunks
 
-    # Ensure initialization
     if 'chunks' not in st.session_state or 'embeddings' not in st.session_state:
         chunks = convert_to_chunks(df)
         embeddings = EMBED_MODEL.encode(chunks)
@@ -84,15 +83,13 @@ if uploaded_file:
     href = f'<a href="data:application/octet-stream;base64,{b64}" download="digital_twin_report.pdf">📄 Download PDF Report</a>'
     st.markdown(href, unsafe_allow_html=True)
 
-    # --- Role-based Factory Assistant ---
+    # --- Role-based Factory Assistant Chatbot ---
     st.subheader("💬 Factory Assistant Chat")
-
     roles = {
         "Operator": "You are a machine operator. Provide practical insights and safety warnings.",
         "Maintenance": "You are a maintenance technician. Suggest inspections and likely causes of sensor anomalies.",
         "Engineer": "You are a control systems engineer. Offer analytical interpretations and system-level advice."
     }
-
     role = st.selectbox("👤 Choose your role: Operator, Maintenance, or Engineer", list(roles.keys()))
 
     if 'chat_history' not in st.session_state: