File size: 9,244 Bytes
f46d32a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 | import gradio as gr
import json
from datetime import datetime
import random
CSS = """
:root {
--primary: #4f46e5;
--bg: #0a0a0f;
--surface: #12121a;
--text: #f0f0f4;
--accent: #818cf8;
}
* { box-sizing: border-box; }
body { background: var(--bg); color: var(--text); font-family: 'Inter', system-ui, sans-serif; }
.gradio-container { max-width: 1000px !important; margin: 0 auto; }
"""
AGENTS = [
{"name": "Code Assistant", "icon": "💻", "status": "ready", "description": "Write, review, and refactor code"},
{"name": "Data Analyst", "icon": "📊", "status": "ready", "description": "Analyze data and generate insights"},
{"name": "Research Bot", "icon": "🔬", "status": "ready", "description": "Research topics and summarize findings"},
{"name": "Email Composer", "icon": "✉️", "status": "ready", "description": "Draft and refine email communications"},
{"name": "Document Processor", "icon": "📄", "status": "beta", "description": "Extract and process document content"},
{"name": "Task Scheduler", "icon": "📅", "status": "beta", "description": "Manage schedules and set reminders"},
]
def get_agent_status():
return [{"name": a["name"], "icon": a["icon"], "status": a["status"]} for a in AGENTS]
def simulate_agent_response(agent_name: str, task: str):
responses = {
"Code Assistant": f"```python\n# Generated by {agent_name}\ndef solution():\n # Analyzing: {task}\n return \"Implementation complete\"\n```",
"Data Analyst": f"📊 **Analysis Results**\n\nAnalyzed: {task}\n- Rows processed: {random.randint(1000, 50000):,}\n- Insights found: {random.randint(3, 12)}\n- Confidence: {random.uniform(85, 99):.1f}%",
"Research Bot": f"🔬 **Research Summary**\n\nTopic: {task}\n- Sources reviewed: {random.randint(5, 25)}\n- Key findings: {random.randint(3, 8)}\n- Generated: {datetime.now().strftime('%Y-%m-%d %H:%M')}",
}
default = f"**{agent_name}** processing: _{task}_\n\nTask has been queued and will be processed locally on your device."
return responses.get(agent_name, default)
def get_system_metrics():
return {
"cpu_usage": f"{random.uniform(10, 80):.1f}%",
"memory_usage": f"{random.uniform(1, 8):.1f} GB",
"active_agents": random.randint(1, 4),
"tasks_completed": random.randint(50, 500),
"uptime": f"{random.randint(1, 72)}h {random.randint(0, 59)}m",
"local_model": "Raven AI Core v0.1.0",
"privacy_mode": "✅ Enabled (All processing local)",
}
with gr.Blocks(css=CSS, title="Home for AI", theme=gr.themes.Soft(
primary_hue="indigo",
neutral_hue="slate",
)) as demo:
gr.HTML("""
<div style="text-align: center; padding: 2rem 0;">
<div style="font-size: 4rem;">🏠</div>
<h1 style="margin: 0.5rem 0; font-size: 2.5rem; background: linear-gradient(135deg, #4f46e5, #818cf8);
-webkit-background-clip: text; -webkit-text-fill-color: transparent;">
Home for AI
</h1>
<p style="font-size: 1.1rem; color: #a0a0b0; margin-top: 0;">
Enterprise Desktop Operations Platform
</p>
<div style="display: flex; gap: 0.5rem; justify-content: center; flex-wrap: wrap; margin-top: 1rem;">
<span style="background: #4f46e520; color: #818cf8; padding: 0.25rem 0.75rem; border-radius: 999px; font-size: 0.85rem;">Zero Trust</span>
<span style="background: #4f46e520; color: #818cf8; padding: 0.25rem 0.75rem; border-radius: 999px; font-size: 0.85rem;">Local First</span>
<span style="background: #4f46e520; color: #818cf8; padding: 0.25rem 0.75rem; border-radius: 999px; font-size: 0.85rem;">Cross Platform</span>
<span style="background: #4f46e520; color: #818cf8; padding: 0.25rem 0.75rem; border-radius: 999px; font-size: 0.85rem;">Tauri + Rust</span>
</div>
</div>
""")
with gr.Tabs():
with gr.Tab("🤖 Agent Hub"):
gr.HTML("<h3>Available Agents</h3>")
agent_grid = gr.HTML()
refresh_btn = gr.Button("🔄 Refresh Agents", variant="secondary")
def render_agents():
agents = get_agent_status()
cards = "<div style='display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 1rem;'>"
for a in agents:
status_color = "#22c55e" if a["status"] == "ready" else "#fbbf24"
status_text = "Ready" if a["status"] == "ready" else "Beta"
cards += f"""
<div style="background: #12121a; border: 1px solid #2a2a3a; border-radius: 8px; padding: 1rem;">
<div style="font-size: 2rem;">{a["icon"]}</div>
<div style="font-weight: 600; margin: 0.5rem 0;">{a["name"]}</div>
<div style="color: {status_color}; font-size: 0.85rem;">● {status_text}</div>
</div>
"""
cards += "</div>"
return cards
refresh_btn.click(fn=render_agents, outputs=agent_grid)
agent_grid.value = render_agents()
with gr.Tab("💬 Agent Chat"):
agent_selector = gr.Dropdown(
choices=[a["name"] for a in AGENTS],
label="Select Agent",
value="Code Assistant",
)
task_input = gr.Textbox(
label="Describe your task",
placeholder="e.g., Write a Python function to sort a list...",
lines=3,
)
submit_btn = gr.Button("Run Task", variant="primary")
agent_output = gr.Markdown(label="Agent Response")
submit_btn.click(
fn=simulate_agent_response,
inputs=[agent_selector, task_input],
outputs=agent_output,
)
with gr.Tab("📊 System Monitor"):
metrics_btn = gr.Button("Refresh Metrics", variant="primary")
metrics_output = gr.JSON(label="System Metrics")
metrics_btn.click(fn=get_system_metrics, outputs=metrics_output)
gr.HTML("""
<div style="background: #12121a; border: 1px solid #2a2a3a; border-radius: 8px; padding: 1rem; margin-top: 1rem;">
<h4>Privacy Notice</h4>
<p style="color: #a0a0b0; font-size: 0.9rem;">
All processing happens locally on your device. No data leaves your machine.
Home for AI operates on a zero-trust architecture — your data, your compute.
</p>
</div>
""")
with gr.Tab("📱 Download"):
gr.HTML("""
<div style="text-align: center; padding: 2rem 0;">
<h3>Get Home for AI</h3>
<div style="display: flex; gap: 1rem; justify-content: center; flex-wrap: wrap; margin: 2rem 0;">
<div style="background: #12121a; border: 1px solid #2a2a3a; border-radius: 12px; padding: 1.5rem; min-width: 180px;">
<div style="font-size: 2rem;">🪟</div>
<h4>Windows</h4>
<p style="color: #a0a0b0; font-size: 0.85rem;">.exe installer</p>
<button disabled style="background: #4f46e5; color: white; border: none; padding: 0.5rem 1rem; border-radius: 6px; cursor: not-allowed;">Coming Soon</button>
</div>
<div style="background: #12121a; border: 1px solid #2a2a3a; border-radius: 12px; padding: 1.5rem; min-width: 180px;">
<div style="font-size: 2rem;">🍎</div>
<h4>macOS</h4>
<p style="color: #a0a0b0; font-size: 0.85rem;">.dmg installer</p>
<button disabled style="background: #4f46e5; color: white; border: none; padding: 0.5rem 1rem; border-radius: 6px; cursor: not-allowed;">Coming Soon</button>
</div>
<div style="background: #12121a; border: 1px solid #2a2a3a; border-radius: 12px; padding: 1.5rem; min-width: 180px;">
<div style="font-size: 2rem;">🐧</div>
<h4>Linux</h4>
<p style="color: #a0a0b0; font-size: 0.85rem;">.AppImage / .deb</p>
<button disabled style="background: #4f46e5; color: white; border: none; padding: 0.5rem 1rem; border-radius: 6px; cursor: not-allowed;">Coming Soon</button>
</div>
</div>
<p style="color: #a0a0b0; font-size: 0.9rem;">
<a href="https://github.com/simpliibarrii-crypto/home-for-ai" style="color: #818cf8;">GitHub Repository →</a>
</p>
</div>
""")
gr.HTML("""
<div style="text-align: center; padding: 1.5rem 0; color: #6b6b80; font-size: 0.85rem; border-top: 1px solid #2a2a3a; margin-top: 2rem;">
<p>Home for AI — Zero-Trust Desktop AI | <a href="https://github.com/simpliibarrii-crypto/home-for-ai" style="color: #818cf8;">GitHub</a></p>
</div>
""")
if __name__ == "__main__":
demo.launch()
|