app.py

from transformers import pipeline
import gradio as gr

pipe = pipeline("sentiment-analysis")

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

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

demo.launch()