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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()