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| from transformers import RobertaTokenizer, T5ForConditionalGeneration | |
| def query(lang,user_prompt): | |
| tokenizer = RobertaTokenizer.from_pretrained('Salesforce/codet5-base-multi-sum') | |
| model = T5ForConditionalGeneration.from_pretrained('Salesforce/codet5-base-multi-sum') | |
| prompt=f"""<|system|>As an expert in {lang}, summarize the following function.</s>\n<|user|>\n {user_prompt}\n<|assistant|>""" | |
| input_ids = tokenizer(prompt, return_tensors="pt").input_ids | |
| generated_ids = model.generate(input_ids, max_length=20) | |
| return tokenizer.decode(generated_ids[0], skip_special_tokens=True) | |