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Update models.py from anycoder
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models.py
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import torch
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import torch.nn as nn
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from typing import Dict, Optional
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class PersonalityTypeDetector(nn.Module):
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"""AI model for determining personality types"""
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def __init__(self, config: Dict):
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super().__init__()
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def analyze_conversation_patterns(self, history: List[Dict]]) -> Dict:
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"""Analyze conversation patterns for emotional intelligence"""
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return {
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"primary_type": "Enigma",
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"secondary_types": ["Mystic", "Sage", "Healer"]),
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}
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def forward(self, x):
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return x
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# Mock model loading
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def load_personality_model():
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"""Load personality analysis model"""
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return PersonalityTypeDetector({})
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