app.py

import gradio as gr
from transformers import pipeline

model = pipeline("sentiment-analysis", model="kelompokjavonlp/sentiment_analysis")

def predict_sentiment(text):
    if not text.strip():
        return "Komentar kosong."

    result = model(text)[0]
    label = result['label']
    score = result['score']

    label_map = {
        "1 star": "Sangat Negatif 😡",
        "2 stars": "Negatif 😠",
        "3 stars": "Netral 😐",
        "4 stars": "Positif 🙂",
        "5 stars": "Sangat Positif 😍"
    }

    return f"Hasil: {label_map.get(label, label)}\nTingkat keyakinan: {score:.2f}"

demo = gr.Interface(
    fn=predict_sentiment,
    inputs=gr.Textbox(lines=4, placeholder="Masukkan komentar YouTube..."),
    outputs="text",
    title="🎬 Analisis Sentimen Komentar YouTube",
    description="Masukkan komentar dan lihat hasil sentimennya."
)

demo.launch()