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)