from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline

# Load CodeT5 model (public and free)
tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-base")
model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base")
code_fix_pipeline = pipeline("text2text-generation", model=model, tokenizer=tokenizer)

def fix_code(code: str) -> str:
    prompt = f"Fix the following code:\n{code}"
    try:
        result = code_fix_pipeline(prompt, max_length=256)[0]["generated_text"]
        return result.strip()
    except Exception as e:
        return f"Error during fixing: {e}"