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from transformers import AutoModelForCausalLM
from components.symbolic_reasoner import SymbolicReasoner
class NeuroSymbolicEngine:
"""Combines neural networks with symbolic reasoning"""
def __init__(self):
self.symbolic_reasoner = SymbolicReasoner()
self.neural_network = AutoModelForCausalLM.from_pretrained("Raiff1982/Codette", trust_remote_code=True)
def integrate_reasoning(self, query: str) -> str:
"""Integrate neural and symbolic reasoning"""
neural_response = self._generate_neural_response(query)
symbolic_response = self.symbolic_reasoner.reason(query)
return f"Neural Response: {neural_response}\nSymbolic Response: {symbolic_response}"
def _generate_neural_response(self, query: str) -> str:
"""Generate a response using the neural network"""
inputs = self.neural_network.tokenizer(query, return_tensors="pt")
outputs = self.neural_network.generate(**inputs)
return self.neural_network.tokenizer.decode(outputs[0], skip_special_tokens=True) |