model_utils.py

from transformers import AutoModelForCausalLM, AutoTokenizer

MODEL_NAME = "Salesforce/codegen-350M-multi"

def load_model():
    tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
    model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
    return tokenizer, model

def generate_deceptive_code(tokenizer, model, prompt, max_length=128):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=max_length, do_sample=True, top_k=50, top_p=0.95)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)