| import gradio as gr | |
| from predict_utils import load_model, predict | |
| model, tokenizer = load_model() | |
| def classify(text): | |
| return predict(text, model, tokenizer) | |
| demo = gr.Interface( | |
| fn=classify, | |
| inputs=gr.Textbox(lines=4, placeholder="Masukkan teks cyberbullying..."), | |
| outputs=gr.Label(label="Prediksi Cyberbullying"), | |
| title="🚨 Deteksi Cyberbullying Berbahasa Indonesia", | |
| description="Model hybrid IndoBERT + BiLSTM untuk klasifikasi 10 kategori cyberbullying (multi-label).", | |
| examples=[ | |
| ["Dasar kamu bodoh dan gak guna!"], | |
| ["Kaum kalian harus dimusnahkan dari muka bumi."], | |
| ["Kamu terlalu kurus, kayak tengkorak jalan!"] | |
| ] | |
| ) | |
| demo.launch() |