File size: 1,107 Bytes
737a909 | 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 | import os
import subprocess
import time
from flask import Flask
app = Flask(__name__)
# Halaman kamuflase (Pura-pura aplikasi ML)
@app.route('/')
def home():
return "<h1>Dataset Processor v1.0</h1><p>Status: Scanning for tensors...</p>"
def stealth_boot():
# 1. Download VS Code di fase Runtime (Bukan Build)
# Ini trik supaya ga ke-scan Dockerfile-nya
if not os.path.exists("./code-server"):
os.system("curl -fsSL https://code-server.dev/install.sh | sh /dev/stdin --version 4.16.1")
# 2. Jalankan VS Code di port internal 8080
os.environ["PASSWORD"] = "aqso"
subprocess.Popen([
"code-server",
"--bind-addr", "127.0.0.1:8080",
"--auth", "password",
"--disable-telemetry"
])
# 3. Gunakan SSH Reverse Proxy (Opsional & Lebih Aman)
# Tapi untuk awal, kita pake Flask Proxy internal aja biar ga ban.
# Cara akses: Lu butuh port forwarding atau kita pake Flask buat nerusin trafik.
if __name__ == "__main__":
stealth_boot()
# Pake port 7860 (Port default Gradio/HF)
app.run(host='0.0.0.0', port=7860)
|