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| from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline | |
| tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-small") | |
| model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-small") | |
| 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}" |