Download predict.py from stack-all/FJNU-HuaxiangChaPandaTimeoutModel: direct link, hf CLI and curl.
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https://huggingface.co/stack-all/FJNU-HuaxiangChaPandaTimeoutModel/resolve/main/predict.py
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1.13 kB
| from __future__ import annotations | |
| import argparse | |
| from pathlib import Path | |
| from timeout_risk_model import load_model, predict_timeout_probability | |
| def parse_args() -> argparse.Namespace: | |
| parser = argparse.ArgumentParser(description="Predict timeout probability for one order time.") | |
| parser.add_argument("order_time", help="Order time, for example: 2026-05-24 18:30") | |
| parser.add_argument("--product-name", default="", help="Optional product name.") | |
| parser.add_argument( | |
| "--model", | |
| type=Path, | |
| default=Path(__file__).resolve().parent / "timeout_model.json", | |
| help="Path to timeout_model.json.", | |
| ) | |
| return parser.parse_args() | |
| def main() -> None: | |
| args = parse_args() | |
| model = load_model(args.model) | |
| result = predict_timeout_probability(model, args.order_time, args.product_name) | |
| print(f"order_time: {result['order_time']}") | |
| print(f"probability: {result['probability']:.1%}") | |
| print(f"risk_level: {result['risk_level']}") | |
| print(f"mode: {result['mode']}") | |
| print(f"calibration: {result['calibration']}") | |
| if __name__ == "__main__": | |
| main() | |