from transformers import T5Tokenizer, T5ForConditionalGeneration

def longText(answere, question):
    print('###### LANGUAGES ######')

    input_text = "i have a question and answer.\nthe question is : {}\n the response is : {}\n with this information, can you create an answer phrase?".format(question, answere)

    tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large")
    model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-large", device_map="auto")
    input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to("cuda")
    outputs = model.generate(input_ids)

    return tokenizer.decode(outputs[0]).replace("<pad>","").replace("</s>","")