import gradio as gr
from transformers import pipeline
from transformers import T5TokenizerFast

tokenizer = T5TokenizerFast.from_pretrained('model_name')

summarizer = pipeline("summarization", model="sumedh/t5-base-amazonreviews")

def texto_sum(text):
    summary = summarizer(text, do_sample=False)
    return summary[0]['summary_text']

demo = gr.Interface(
    fn=texto_sum,
    inputs=gr.Textbox(label="Texto a introducir:", placeholder="Introduce el texto a resumir aquí..."),
    outputs="text"
)

demo.launch()