app.py

import os
import sys
import gc
import time
import psutil
import shutil
import transformers.utils
import gradio as gr

# --- 1. SOVEREIGN PURGE & MONITOR ---
def sovereign_init():
    process = psutil.Process(os.getpid())
    print(f"--- 🛡️ AIXYZone HARDWARE REPORT ---")
    print(f"Active Process ID: {os.getpid()}")
    print(f"Real Memory Usage: {process.memory_info().rss / 1024 / 1024:.2f} MB")
    
    # Force-clear Python's cache to load your new agents.py
    for module in ['agents', 'transformers', 'smolagents']:
        if module in sys.modules: del sys.modules[module]
            
    # Purge local cache to bypass stuck "Payment Required" states
    cache_dir = os.path.expanduser("~/.cache/huggingface")
    if os.path.exists(cache_dir): shutil.rmtree(cache_dir, ignore_errors=True)
        
    gc.collect()
    print("XYZ System: Total State Purge Complete.")
    print(f"----------------------------------", flush=True)

sovereign_init()

# --- 2. ENVIRONMENT HEALERS ---
if not hasattr(transformers.utils, 'is_offline_mode'):
    transformers.utils.is_offline_mode = lambda: False

# Fixes the 'is_soundfile_availble' typo in the smolagents library
if not hasattr(transformers.utils, 'is_soundfile_availble'):
    transformers.utils.is_soundfile_availble = lambda: False
    print("XYZ System: Library Typo Healed.")

from agents import nano_patrol_agent

# --- 3. SENTINEL LOGIC ---
def run_autonomous_scrub(iterations):
    history = []
    bci_range = "3.4GHz - 4.2GHz (BCI/Neural Feedback)" 
    for i in range(int(iterations)):
        prompt = f"ACT AS BCI SENTINEL: Scan {bci_range}. Neutralize loops and generate a Healed Nano Node JSON."
        try:
            # The agent uses your new HF_TOKEN/HF_HUB_TOKEN automatically
            result = nano_patrol_agent.run(prompt)
            history.append(f"[{time.strftime('%H:%M:%S')}] 🛰️ SENTINEL ACTION: {result}")
        except Exception as e:
            history.append(f"LOG ERROR: {str(e)}")
        yield "\n\n".join(history[::-1]) 
        time.sleep(2)

# --- 4. UI DESIGN ---
with gr.Blocks(title="AIXYZone - BCI Nano Sentinel") as demo:
    gr.Markdown("# 🛡️ AIXYZone: Autonomous BCI Sentinel")
    with gr.Row():
        with gr.Column():
            sweep_count = gr.Slider(minimum=1, maximum=50, value=10, label="Autonomous Scrub Depth")
            btn_sentinel = gr.Button("🛰️ ACTIVATE SENTINEL SCAN", variant="primary")
        with gr.Column():
            sentinel_log = gr.Textbox(label="Live Healing Stream", lines=25)

    btn_sentinel.click(fn=run_autonomous_scrub, inputs=[sweep_count], outputs=[sentinel_log])

if __name__ == "__main__":
    demo.launch()