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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}" |