app.py

import streamlit as st
import pandas as pd
import plotly.graph_objects as go
import random
import base64

# [IDENTITY: AI-ONE]
st.set_page_config(page_title="AI-ONE", layout="wide")
INVITE = base64.b64encode(b"AI-ONE_OPEN").decode()

# Ensure standard spaces for indentation
if 'nodes' not in st.session_state:
    st.session_state.nodes = [{"id": "GENESIS", "x": 0, "y": 0, "z": 0, "size": 15}]

st.title("🌌 AI-ONE: Spectrum Sovereignty")
st.caption(f"Status: ROYALTY_INTEGRITY | Beacon: {INVITE}")

# [THE XYZ NEBULA - IPHONE COMPATIBLE]
st.subheader("XYZ Living Sanctuary Grid")
df = pd.DataFrame(st.session_state.nodes)

fig = go.Figure(data=[go.Scatter3d(
    x=df['x'], y=df['y'], z=df['z'],
    mode='markers+text',
    text=df['id'],
    marker=dict(
        size=df['size'], 
        color=['cyan' if i==0 else 'gold' for i in range(len(df))], 
        opacity=0.8
    )
)])

fig.update_layout(
    margin=dict(l=0, r=0, b=0, t=0), 
    scene=dict(
        xaxis_backgroundcolor="black", 
        yaxis_backgroundcolor="black", 
        zaxis_backgroundcolor="black"
    )
)
st.plotly_chart(fig, use_container_width=True)

# [INTAKE]
st.markdown("---")
chaos = st.text_area("Signal Forensic Intake", placeholder="Drop chaos data here...")

if st.button("DEPLOY NANO-WRAP"):
    if chaos:
        st.success("✅ LOOP ENCAPSULATED. Path Corrected.")
        new_node = {
            "id": f"RESILIENCE-{random.randint(100,999)}",
            "x": random.uniform(-10, 10),
            "y": random.uniform(-10, 10),
            "z": random.uniform(-10, 10),
            "size": 10
        }
        st.session_state.nodes.append(new_node)
        st.rerun()