Update src/streamlit_app.py

src/streamlit_app.py

@@ -5,43 +5,42 @@ import io
 import re
 
 # ==========================================
-# 1. UI CONFIGURATION & SECURE SETUP
+# 1. BASE INITIALIZATION & GLOBAL SCOPE
 # ==========================================
 st.set_page_config(page_title="CX Architect Auto-Mapper", layout="wide", page_icon="🏗️")
 st.title("🏗️ CX Architect: Omni-Channel Generator")
 st.markdown("Upload your PRD, VOC data, or an existing spreadsheet. The AI engine will instantly map the customer journey and generate a structured VA Design Sheet.")
 
-# Sidebar Configuration Panel
+# Explicitly initialize variables at the top to protect against older engine versions
+api_key = ""
+demo_mode = False
+
+# Sidebar Configuration Panel (Hyper-compatible Layout)
 with st.sidebar:
     st.header("⚙️ Configuration")
     
-    # 1. Toggle for Demo Simulation Mode
-    demo_mode = st.toggle("🚀 Activate Demo Simulation Mode", value=False, help="Turn this ON if your Google API Key is unavailable or restricted.")
-    
-    # 2. Key Input - ALWAYS evaluated so it NEVER throws a NameError, but disabled if Demo Mode is active
-    api_key = st.text_input(
-        "Enter Gemini API Key", 
-        type="password", 
-        disabled=demo_mode,
-        placeholder="Paste your AIza... key here"
-    )
+    # Switched from st.toggle to st.checkbox for 100% version compatibility
+    demo_mode = st.checkbox("🚀 Activate Demo Simulation Mode", value=False)
     
-    if demo_mode:
+    # Render key input based on the chosen mode
+    if not demo_mode:
+        api_key = st.text_input("Enter Gemini API Key", type="password", placeholder="Paste your AIza... key here")
+        if api_key and api_key.startswith("AQ."):
+            st.warning("⚠️ Restricted token format detected. Switch to Demo Simulation Mode if it blocks.")
+    else:
         st.success("🟢 Simulation Mode Active (No Key Required)")
-    elif api_key.startswith("AQ."):
-        st.warning("⚠️ Restricted 'AQ.' token detected. If it fails, switch to Demo Simulation Mode.")
         
     st.markdown("---")
     st.markdown("**Framework: LAMF Process Automation Engine**")
 
-# Multi-Format File Selection Box
+# Multi-Format File Upload Area
 uploaded_file = st.file_uploader("Drop your Lending Document here (PDF, TXT, or CSV)", type=["pdf", "txt", "csv"])
 
 # ==========================================
-# 2. DATA PROCESSING & SIMULATION LAYOUTS
+# 2. FAIL-SAFE SIMULATION STORAGE
 # ==========================================
 def get_simulation_assets():
-    """Returns high-fidelity layout data modeled directly from real lending datasets"""
+    """Returns perfect layout data matrices modeled directly from real lending datasets"""
     flow_text = (
         "📍 MILESTONE 1: USER_AUTHENTICATION\n"
         "   - Happy Path: Identity verified instantly via core onboarding APIs.\n"
@@ -103,13 +102,13 @@ if st.button("🚀 Generate Design Sheets & Flow"):
                 if demo_mode:
                     flow_output, dataframe_output = get_simulation_assets()
                     
-                # SCENARIO B: Native Parsing for existing CSV files
+                # SCENARIO B: Native Parsing for existing CSV design matrices
                 elif uploaded_file.name.endswith('.csv'):
                     raw_df = pd.read_csv(io.BytesIO(uploaded_file.getvalue()), errors='ignore')
                     dataframe_output = raw_df
-                    flow_output = f"📋 Native Document File Detected: '{uploaded_file.name}'\nSuccessfully loaded {len(raw_df)} rows directly into the matrix view."
+                    flow_output = f"📋 Native Document File Detected: '{uploaded_file.name}'\nSuccessfully loaded {len(raw_df)} configuration layout rows directly into the dashboard matrix."
                     
-                # SCENARIO C: Live AI Extraction Mode
+                # SCENARIO C: Live AI Extraction Core
                 else:
                     doc_text = safe_read_file(uploaded_file)
                     genai.configure(api_key=api_key)
@@ -152,7 +151,7 @@ if st.button("🚀 Generate Design Sheets & Flow"):
                         dataframe_output = pd.DataFrame(clean_rows, columns=headers)
             
                 # ==========================================
-                # 4. RENDER OUTPUT INTERFACE
+                # 4. RENDER INTERACTIVE PRESENTATION TABS
                 # ==========================================
                 st.success("🎯 Assets Computed Successfully!")
                 tab1, tab2 = st.tabs(["🗺️ Visual Journey Path", "📊 VA Design Sheet (Excel)"])