| | import gradio as gr |
| | from transformers import pipeline |
| |
|
| | |
| | |
| | pipe = pipeline("text-classification", model="niejanee/indobert-sentiment-tokopedia-reviews") |
| |
|
| | def classify_review(text): |
| | result = pipe(text)[0] |
| | return {result['label']: result['score']} |
| |
|
| | iface = gr.Interface( |
| | fn=classify_review, |
| | inputs=gr.Textbox(lines=5, placeholder="Masukkan ulasan produk di sini..."), |
| | outputs="label", |
| | title="Analisis Sentimen Ulasan Produk", |
| | description="Model ini menganalisis sentimen ulasan produk menggunakan fine-tuned IndoBERT." |
| | ) |
| | iface.launch() |