"""
Model utilities for loading pre-trained weights
"""

import torch
from transformers import AutoModel

def load_classifier_weights(model, weights_path="classifier_weights.pth"):
    """Load classification head weights into model"""
    checkpoint = torch.load(weights_path, map_location="cpu")
    model.classifier.load_state_dict(checkpoint['classifier_state_dict'])
    return model


def get_model_info():
    """Return model metadata"""
    return {
        "name": "Phishing Email Detector",
        "version": "1.0.0",
        "author": "Mohamed Amine Marzouk",
        "f1_score": 0.9878,
        "precision": 0.9901,
        "recall": 0.9854,
        "auc_roc": 0.9991,
        "training_time": "16 hours",
        "inference_time": "82ms",
        "training_data": "181,985 emails",
        "model_type": "DistilRoBERTa-base + 5-layer MLP"
    }