app.py

from transformers import pipeline

import gradio as gr

pretrained_name = "w11wo/indonesian-roberta-base-sentiment-classifier"

sentiment = pipeline(
    "sentiment-analysis",
    model=pretrained_name,
    tokenizer=pretrained_name,
    return_all_scores=True
)

examples = [
    "Masyarakat sangat kecewa dengan tragedi Kanjuruhan",
]

def sentiment_analysis(text):
    output = sentiment(text)
    return {elm["label"]: elm["score"] for elm in output[0]}

demo = gr.Interface(
    fn=sentiment_analysis, 
    inputs=gr.Textbox(placeholder="Enter a sentence here..."), 
    outputs="label",
    interpretation="default",
    examples=[examples])

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