import gradio as gr

from transformers import AutoTokenizer
from transformers import AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("elvish-translator-quenya-t5-small")
model = AutoModelForSeq2SeqLM.from_pretrained("elvish-translator-quenya-t5-small")

def greet(name):
    inputs = tokenizer(text, return_tensors="pt").input_ids
    outputs = model.generate(inputs, max_new_tokens=40, do_sample=True, top_k=30, top_p=0.95)
    result = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return result

demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()