onuion
229
1
license:mit
by
onuion
Code Model
OTHER
New
229 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Code Examples
๐ฆ Installationbash
# Clone repository
git clone https://github.com/onuion/onuion.git
cd onuion
# Create virtual environment (recommended)
python -m venv venv
source venv/bin/activate # Linux/Mac
# or
venv\Scripts\activate # Windows
# Install dependencies
pip install -r requirements.txt
# Install in development mode (optional)
pip install -e .Linux/Macpython
from onuion import analyze_risk
# Session data
session_data = {
"current_ip": "192.168.1.100",
"initial_ip": "192.168.1.50",
"ip_history": ["192.168.1.50", "192.168.1.100"],
"current_geo": {"country": "TR", "city": "Istanbul"},
"initial_geo": {"country": "TR", "city": "Ankara"},
"current_device": {"fingerprint": "fp123"},
"initial_device": {"fingerprint": "fp123"},
"current_browser": {},
"initial_browser": {},
"requests": [
{"timestamp": 1706000000, "method": "GET", "endpoint": "/api/users"}
],
"session_duration_seconds": 10.0,
"current_session_id": "sess_123",
"initial_session_id": "sess_123",
"current_cookies": {},
"initial_cookies": {},
"current_referrer": "",
"initial_referrer": ""
}
# Risk analysis
result = analyze_risk(session_data)
# Results
print(f"Risk Score: {result.riskScore}/100")
print(f"Risks: {result.risk}")
print(f"Inference Time: {result.inference_time_ms:.3f} ms")Use with inferencebash
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