""" SecuBox Streamlit - Default Demo App CyberMind Neural Data Platform """ import streamlit as st import time from datetime import datetime # Page config st.set_page_config( page_title="SecuBox Streamlit", page_icon="⚡", layout="wide" ) # Cyberpunk CSS st.markdown(""" """, unsafe_allow_html=True) # Header st.title("⚡ SECUBOX STREAMLIT ⚡") st.markdown("### Neural Data App Platform") # Metrics row col1, col2, col3, col4 = st.columns(4) with col1: st.metric("Status", "ONLINE", delta="Active") with col2: st.metric("Platform", "SecuBox", delta="v1.0") with col3: st.metric("Python", "3.12", delta="Latest") with col4: current_time = datetime.now().strftime("%H:%M:%S") st.metric("System Time", current_time) st.divider() # Info section col_left, col_right = st.columns(2) with col_left: st.markdown("### System Info") st.info(""" **Streamlit Data Platform** Deploy your Python data apps with ease: - Interactive dashboards - Data visualization - Machine learning demos - Real-time analytics Manage apps via LuCI dashboard. """) with col_right: st.markdown("### Quick Start") st.code(""" # Deploy a new app streamlitctl app add myapp /path/to/app.py # Switch active app streamlitctl app run myapp # List all apps streamlitctl app list """, language="bash") st.divider() # Interactive demo st.markdown("### Interactive Demo") demo_col1, demo_col2 = st.columns(2) with demo_col1: st.markdown("#### Data Generator") num_points = st.slider("Data Points", 10, 100, 50) import random data = [random.randint(0, 100) for _ in range(num_points)] st.line_chart(data) with demo_col2: st.markdown("#### User Input") user_name = st.text_input("Enter your name", "CyberMind") if st.button("Greet"): st.success(f"Welcome to SecuBox, {user_name}! ⚡") # Footer st.divider() st.markdown("""
SecuBox Streamlit Platform | CyberMind Studio | 2025
""", unsafe_allow_html=True)