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| import os | |
| import psutil | |
| import gradio as gr | |
| import time | |
| # --- 🛡️ SYSTEM DIAGNOSTICS --- | |
| print("--- 🛡️ AIXYZone HARDWARE REPORT ---") | |
| process = psutil.Process(os.getpid()) | |
| print(f"Memory: {process.memory_info().rss / 1024 / 1024:.2f} MB") | |
| # Import the sentinel agent | |
| try: | |
| from agents import nano_patrol_agent | |
| print("SENTINEL: Neural Core Loaded.") | |
| except Exception as e: | |
| print(f"SENTINEL: Neural Core FAILURE. Error: {str(e)}") | |
| def run_autonomous_scrub(iterations): | |
| history = [] | |
| # Command the agent | |
| command = "ACT AS SENTINEL: 1. Pulsate Shield. 2. Scrub 3.8GHz. 3. Use 'black_eagle_vault_save' to archive results." | |
| for i in range(int(iterations)): | |
| try: | |
| # Execute agentic loop | |
| result = nano_patrol_agent.run(command) | |
| timestamp = time.strftime('%H:%M:%S') | |
| history.append(f"[{timestamp}] 🛰️ OPS: {result}") | |
| except Exception as e: | |
| history.append(f"⚠️ LOG ERROR: {str(e)}") | |
| # Yield log back to Gradio live | |
| yield "\n\n".join(history[::-1]) | |
| time.sleep(1) | |
| # --- 🛰️ USER INTERFACE --- | |
| with gr.Blocks(title="AIXYZone Sentinel") as demo: | |
| gr.Markdown("# 🛡️ AIXYZone: Black Eagle Sentinel") | |
| gr.Markdown("*Sovereign BCI Neural Frequency Scrubbing & Archival System*") | |
| with gr.Row(): | |
| sweep = gr.Slider(1, 20, value=5, step=1, label="Scrub Depth (Iterations)") | |
| btn = gr.Button("ACTIVATE SCAN", variant="primary") | |
| log = gr.Textbox(label="Sentinel Live Stream", lines=20, placeholder="Waiting for Activation...") | |
| btn.click(run_autonomous_scrub, inputs=[sweep], outputs=[log]) | |
| if __name__ == "__main__": | |
| demo.launch() |