import gradio as gr
from transformers import pipeline

classifier = pipeline("text-classification", model="pysentimiento/robertuito-sentiment-analysis")

def text_to_sentiment(text):
  return {classifier(text)[0]["label"]: classifier(text)[0]["score"]}

demo = gr.Blocks()

with demo:
  with gr.Tabs():
    with gr.TabItem("Análisis de sentimientos de textos en español"):
      with gr.Row():
        texto = gr.Textbox()
        label = gr.Label(num_top_classes=1)
      b1 = gr.Button("Analizar")

    b1.click(text_to_sentiment, inputs=texto, outputs=label)

demo.launch()