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Create neuro_symbolic_engine
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components/neuro_symbolic_engine
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from transformers import AutoModelForCausalLM
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class NeuroSymbolicEngine:
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"""Combines neural networks with symbolic reasoning"""
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def __init__(self):
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self.symbolic_reasoner = SymbolicReasoner()
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self.neural_network = AutoModelForCausalLM.from_pretrained("gpt-3")
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def integrate_reasoning(self, query: str) -> str:
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"""Integrate neural and symbolic reasoning"""
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neural_response = self._generate_neural_response(query)
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symbolic_response = self.symbolic_reasoner.reason(query)
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return f"Neural Response: {neural_response}\nSymbolic Response: {symbolic_response}"
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def _generate_neural_response(self, query: str) -> str:
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"""Generate a response using the neural network"""
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inputs = self.neural_network.tokenizer(query, return_tensors="pt")
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outputs = self.neural_network.generate(**inputs)
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return self.neural_network.tokenizer.decode(outputs[0], skip_special_tokens=True)
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