app.py

import gradio as gr
from transformers import pipeline

MODEL = "cardiffnlp/twitter-roberta-base-sentiment-latest"

classifier = pipeline("sentiment-analysis", model=MODEL)

def analyze(text):
    result = classifier(text)[0]
    return {
        "Sentiment": result["label"].capitalize(),
        "Confidence": f"{result['score']:.2%}"
    }

demo = gr.Interface(
    fn=analyze,
    inputs=gr.Textbox(lines=4),
    outputs="json",
    title="Sentiment Analyzer"
)

if __name__ == "__main__":
    demo.launch()