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
)

examples = [
    "Ada apa dengan Jokowi di istana negara?",
]

def sentiment_analysis(text):
    scores = sid.polarity_scores(text)
    del scores["compound"]
    return scores 

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()