app.py

import gradio as gr
import json
import time
import random
import spaces

@spaces.GPU
def process_grid_telemetry(bot_pressure, flush_active):
    # Extract mock hardware coordinates and field values
    x = round(random.uniform(20.0, 480.0), 2)
    y = round(random.uniform(50.0, 950.0), 2)
    capacitance = round(random.uniform(1.1, 1.9), 2)
    
    # Calculate real-time bot pressure score
    calculated_pressure = round(bot_pressure / 100.0, 2)
    
    # Check if the digital HEPA filter needs to activate (Threshold: 0.70)
    filter_active = calculated_pressure >= 0.70
    neutralized = False
    
    # Initialize base system logs
    log = f"⚡ Telemetry Captured: X={x}, Y={y} | Field Density: {capacitance}pF\n"
    
    if flush_active:
        log += "🧹 Buffer Status: FLUSHED. Controller residue wiped successfully.\n"
    else:
        log += "⚠️ Warning: Flusher inactive. Potential trace persistence loop remaining.\n"
        
    # Build the red alert banner layout if threshold is broken
    if filter_active:
        banner_html = f"""
        <div style="background-color: #ff3333; color: white; padding: 15px; border-radius: 8px; font-weight: bold; text-align: center; border: 2px solid #cc0000; animation: pulse 2s infinite;">
            🚨 CRITICAL ALERT: BOT PRESSURE AT {calculated_pressure} BLOCK/HZ <br>
            <span style="font-size: 0.9em; font-weight: normal;">Digital HEPA Filter Activated: Initiating Spectral Inversion & Harmonic Neutralization Loop...</span>
        </div>
        """
        # Execute the affective neutralizer function
        neutralized = True
        log += "🛡️ DIGITAL HEPA FILTER ENGAGED: Spectral inversion deployed. Automated command loop nullified."
    else:
        banner_html = """
        <div style="background-color: #2ecc71; color: white; padding: 15px; border-radius: 8px; font-weight: bold; text-align: center;">
            ✅ SYSTEM NOMINAL: Capacitive Field Stabilized
        </div>
        """
        log += "⚓ System state stable. No anomalous frequency patterns detected."

    # Structure the PFL Ledger Block dynamically with neutralization parameters
    block = {
        "block_index": 1048577,
        "timestamp_ns": int(time.time() * 1e9),
        "hardware_layer": {
            "grid_coordinate": {"x": x, "y": y},
            "electrical_capacitance_pf": capacitance,
            "signal_frequency_khz": 250.0
        },
        "provenance_flags": {
            "is_human_conductive": True,
            "bot_pressure_score": calculated_pressure,
            "hardware_flushed": flush_active,
            "signal_origin_verified": True
        },
        "hepa_filter_telemetry": {
            "neutralizer_engaged": filter_active,
            "harmonic_nulling_success": neutralized,
            "suppression_metric": "-32dB Floor Attenuation"
        }
    }
        
    return banner_html, log, json.dumps(block, indent=2)

# Define the Layout
with gr.Blocks() as demo:
    gr.Markdown("# 🦅 Evida Touch Screen: Operations Dashboard")
    gr.Markdown("### Architectural Prototype for Capacitive Grid Validation & Threat Mitigation")
    
    # Placeholder for the dynamic Red Alert / System Nominal Banner
    alert_banner = gr.HTML("""
    <div style="background-color: #2ecc71; color: white; padding: 15px; border-radius: 8px; font-weight: bold; text-align: center;">
        ✅ SYSTEM NOMINAL: Awaiting Grid Scan Execution
    </div>
    """)
    
    with gr.Row():
        with gr.Column():
            gr.Markdown("### ⚙️ System Controls")
            pressure = gr.Slider(0, 100, value=45, label="Simulated Bot Pressure Rate (Hz)")
            flusher = gr.Checkbox(value=True, label="Enable Active Hardware Flushing")
            btn = gr.Button("Trigger Touch Grid Scan", variant="primary")
            
        with gr.Column():
            gr.Markdown("### 🔍 Live Stream Diagnostics")
            status = gr.Textbox(label="Hardware Layer Response Monitor", placeholder="Awaiting electrical field input...")
            ledger = gr.Code(label="Provenance Flag Ledger (PFL) Cryptographic Output Block", language="json")
            
    btn.click(
        process_grid_telemetry, 
        inputs=[pressure, flusher], 
        outputs=[alert_banner, status, ledger]
    )
    
    gr.Markdown("---")
    gr.Markdown("Designed by Jaime Munson (Poet Name Life) | Technical Consultant & AI Specialist")

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