zero-claw / app.py
DevGruGold (Joe Lee)
rebuild: updated SDK versions
f17b71a
Raw
History Blame Contribute Delete
5.46 kB
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": "πŸ›οΈ"},
{"name": "Mining Agent", "status": "online", "tasks": random.randint(400, 600), "icon": "⛏️"},
{"name": "Treasury Agent", "status": "online", "tasks": random.randint(200, 350), "icon": "πŸ’°"},
{"name": "Governance Agent", "status": random.choice(["online", "online", "syncing"]), "tasks": random.randint(100, 200), "icon": "πŸ—³οΈ"},
]
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']} β€’ Uptime {metrics['uptime_pct']}% β€’ {len([a for a in metrics['agents'] if a['status']=='online'])} agents active</p>
</div>
""", unsafe_allow_html=True)
st.markdown("## πŸ€– 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("### πŸ“Š 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("### πŸ”— 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("### πŸ’¬ 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 β€’ MIT License")