models.py

import torch
import torch.nn as nn
from typing import Dict, Optional

class PersonalityTypeDetector(nn.Module):
    """AI model for determining personality types"""
    
    def __init__(self, config: Dict):
        super().__init__()
        
    def analyze_conversation_patterns(self, history: List[Dict]]) -> Dict:
        """Analyze conversation patterns for emotional intelligence"""
        return {
            "primary_type": "Enigma",
            "secondary_types": ["Mystic", "Sage", "Healer"]),
    }
    
    def forward(self, x):
        return x

# Mock model loading
def load_personality_model():
    """Load personality analysis model"""
    return PersonalityTypeDetector({})