from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline,EncoderDecoderConfig

tokenizer = AutoTokenizer.from_pretrained("codellama/CodeLlama-34b-Instruct-hf")
model = EncoderDecoderConfig.from_pretrained("codellama/CodeLlama-34b-Instruct-hf")
fix_pipeline = pipeline("text2text-generation", model=model, tokenizer=tokenizer)

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