app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline("sentiment-analysis")

def get_sentiment(input):
    prediction = pipe(input)
    label = prediction[0]['label']
    score = prediction[0]['score']
    return f'{label} {score * 100:.2f}%'

demo = gr.Interface(
    fn=get_sentiment, 
    inputs="text", 
    outputs="text",
    title="Sentiment Analysis",
    description="Get a sentimental analysis for the provided text"
)

demo.launch()