from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline

# Load the same CodeT5 model
tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-base")
model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base")
modifier_pipeline = pipeline("text2text-generation", model=model, tokenizer=tokenizer)

def modify_code(code: str, instruction: str) -> str:
    """
    Modifies code based on user's instruction prompt.
    """
    prompt = f"Instruction: {instruction}\nCode:\n{code}\nModified Code:"
    try:
        result = modifier_pipeline(prompt, max_length=256)[0]["generated_text"]
        return result.strip()
    except Exception as e:
        return f"Error during modification: {e}"