Create neuro_symbolic_engine

components/neuro_symbolic_engine

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+from transformers import AutoModelForCausalLM
+
+class NeuroSymbolicEngine:
+    """Combines neural networks with symbolic reasoning"""
+    def __init__(self):
+        self.symbolic_reasoner = SymbolicReasoner()
+        self.neural_network = AutoModelForCausalLM.from_pretrained("gpt-3")
+
+    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)