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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"""You are a code-fixing AI assistant. | |
Below is a Python code snippet that contains bugs. Your job is to fix the code and output the corrected version. | |
[BUGGY CODE] | |
{code} | |
[FIXED 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}" | |