app.py

from transformers import pipeline
import gradio as gr

classifier = pipeline('text-classification', model='lauragordo/clasificador-rotten-tomatoes')

def text_classification(text):
    return classifier(text)[0]['label']

examples=["This is wonderful movie!", "The movie was really bad; I didn't like it."]

io = gr.Interface(fn=text_classification, 
                         inputs= gr.Textbox(lines=2, label="Text", placeholder="Enter title here..."), 
                         outputs=gr.Textbox(lines=2, label="Text Classification Result"),
                         title="Text Classification",
                         description="Enter a text and see the text classification result!",
                         examples=examples)

io.launch()