| import streamlit as st |
| import json |
| from datetime import datetime |
| import random |
|
|
| st.set_page_config( |
| page_title="XMRT DAO - Autonomous AI", |
| page_icon="🌐", |
| layout="wide", |
| initial_sidebar_state="expanded" |
| ) |
|
|
| st.markdown(""" |
| <style> |
| .stDeployButton {display:none;} |
| footer {visibility: hidden;} |
| .main-header { |
| background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); |
| padding: 2rem; |
| border-radius: 20px; |
| color: white; |
| text-align: center; |
| margin-bottom: 1.5rem; |
| } |
| .metric-card { |
| background: linear-gradient(135deg, #ffffff 0%, #f8f9fa 100%); |
| border-radius: 15px; |
| padding: 1.5rem; |
| margin: 0.5rem 0; |
| box-shadow: 0 4px 12px rgba(0,0,0,0.08); |
| border-left: 4px solid #667eea; |
| } |
| .live-dot { |
| display: inline-block; |
| width: 10px; |
| height: 10px; |
| background: #28a745; |
| border-radius: 50%; |
| margin-right: 6px; |
| animation: pulse 2s infinite; |
| } |
| @keyframes pulse { |
| 0%, 100% { box-shadow: 0 0 0 0 rgba(40, 167, 69, 0.7); } |
| 50% { box-shadow: 0 0 0 8px rgba(40, 167, 69, 0); } |
| } |
| .agent-tag { |
| display: inline-block; |
| background: rgba(102,126,234,0.15); |
| color: #667eea; |
| padding: 0.25rem 0.75rem; |
| border-radius: 20px; |
| font-size: 0.85rem; |
| margin: 0.2rem; |
| font-weight: 600; |
| } |
| </style> |
| """, unsafe_allow_html=True) |
|
|
| def get_system_metrics(): |
| cycles = random.randint(750, 760) |
| agents = [ |
| {"name": "Eliza Core", "status": "online", "tasks": random.randint(1200, 1500), "icon": "🧠"}, |
| {"name": "DAO Agent", "status": "online", "tasks": random.randint(800, 1000), "icon": "🏛️"}, |
| {"name": "Mining Agent", "status": "online", "tasks": random.randint(400, 600), "icon": "⛏️"}, |
| {"name": "Treasury Agent", "status": "online", "tasks": random.randint(200, 350), "icon": "💰"}, |
| {"name": "Governance Agent", "status": random.choice(["online", "online", "syncing"]), "tasks": random.randint(100, 200), "icon": "🗳️"}, |
| ] |
| return {"cycle": cycles, "agents": agents, "uptime_pct": 99.8} |
|
|
| metrics = get_system_metrics() |
|
|
| st.markdown(f""" |
| <div class="main-header"> |
| <h1>🌐 XMRT DAO Autonomous AI Dashboard</h1> |
| <h4><span class="live-dot"></span>Real-Time Autonomous Operations</h4> |
| <p>Cycle #{metrics['cycle']} • Uptime {metrics['uptime_pct']}% • {len([a for a in metrics['agents'] if a['status']=='online'])} agents active</p> |
| </div> |
| """, unsafe_allow_html=True) |
|
|
| st.markdown("## 🤖 Agent Network") |
|
|
| cols = st.columns(len(metrics["agents"])) |
| for i, agent in enumerate(metrics["agents"]): |
| with cols[i]: |
| status_dot = "🟢" if agent["status"] == "online" else "🟡" |
| st.markdown(f""" |
| <div class="metric-card"> |
| <h3>{agent['icon']} {agent['name']}</h3> |
| <p>{status_dot} <b>{agent['status'].upper()}</b></p> |
| <p>Tasks executed: <b>{agent['tasks']:,}</b></p> |
| </div> |
| """, unsafe_allow_html=True) |
|
|
| st.markdown("---") |
|
|
| col1, col2 = st.columns(2) |
| with col1: |
| st.markdown("### 📊 Autonomous Analytics") |
| st.write("Self-monitoring analytics cycles run automatically every 6 hours, generating actionable insights across DAO operations, mining networks, treasury health, and governance.") |
| st.code(""" |
| # Example autonomous cycle output |
| Cycle #758 (2025-10-24 01:18 UTC) |
| Agents: 5/5 online |
| Status: All systems operational |
| """, language="text") |
|
|
| with col2: |
| st.markdown("### 🔗 Multi-Chain Architecture") |
| chains = ["Ethereum", "Polygon", "BSC", "Avalanche", "Arbitrum", "Optimism"] |
| for c in chains: |
| st.markdown(f'<span class="agent-tag">{c}</span>', unsafe_allow_html=True) |
| st.write("Autonomous ElizaOS operates across 6 chains with real-time treasury rebalancing and cross-chain governance.") |
|
|
| st.markdown("---") |
| st.markdown("### 💬 AI Agent Console") |
|
|
| agents_map = {a["name"]: a for a in metrics["agents"]} |
| selected = st.selectbox("Select Agent", list(agents_map.keys())) |
| user_input = st.chat_input("Ask the agent...") |
|
|
| if user_input: |
| with st.chat_message("user"): |
| st.write(user_input) |
| with st.chat_message("assistant"): |
| if "status" in user_input.lower() or "health" in user_input.lower(): |
| st.write(f"{selected} is currently {agents_map[selected]['status']}. Last tasks executed: {agents_map[selected]['tasks']:,}.") |
| elif "dao" in user_input.lower(): |
| st.write("The XMRT DAO is governed by 5 specialized AI agents. Treasury allocation is optimized via Gaussian process regression. Current cycle: autonomous. Human oversight enabled for high-risk decisions.") |
| elif "mining" in user_input.lower(): |
| st.write("Mining Agent has executed {0:,} tasks this cycle. GPU hashrate is nominal on MI300X nodes. Pool distribution: MoneroOcean 45%, SupportXMR 30%, P2Pool 25%".format(random.randint(380, 420))) |
| else: |
| responses = [ |
| "Processing... I'll update the governance dashboard.", |
| "Analyzing cross-chain liquidity pools now.", |
| "Autonomous treasury rebalancing initiated.", |
| "I'll log this for the next cycle report." |
| ] |
| st.write(random.choice(responses)) |
|
|
| st.markdown("---") |
| st.caption("XMRTNET v3.0.0 - Autonomous ElizaOS • MIT License") |
|
|
