Create llama.py

llama.py

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+import torch
+from transformers import LLaMAForCausalLM, LLaMATokenizer
+
+model_name = "llama-3.1"
+tokenizer = LLaMATokenizer.from_pretrained(model_name)
+model = LLaMAForCausalLM.from_pretrained(model_name)
+
+def analyze_code(code):
+    # Preprocess code for LLaMA 3.1
+    inputs = tokenizer.encode_plus(code, return_tensors="pt")
+
+    # Run code analysis using LLaMA 3.1
+    outputs = model.generate(inputs["input_ids"], max_length=512)
+
+    # Return analyzed code representation
+    return outputs.last_hidden_state