| import gradio as gr | |
| from predict_utils import load_model_and_thresholds, predict | |
| model, tokenizer, thresholds = load_model_and_thresholds() | |
| def classify(text): | |
| return predict(text, model, tokenizer, thresholds) | |
| gr.Interface( | |
| fn=classify, | |
| inputs=gr.Textbox(lines=4, placeholder="Masukkan teks cyberbullying..."), | |
| outputs=gr.Label(label="Prediksi Cyberbullying", num_top_classes=12), | |
| title="💬 Deteksi Cyberbullying Multi-Label 🇮🇩", | |
| description="Model IndoBERT + BiLSTM dengan threshold ROC-AUC. Menampilkan 12 label klasifikasi multi-label teks bahasa Indonesia.", | |
| examples=[ | |
| ["Dasar kamu goblok dan gak punya otak!"], | |
| ["Cewek seperti itu emang pantas dihina."], | |
| ["Pribumi kampungan gak punya budaya!"] | |
| ] | |
| ).launch() |