| from transformers import pipeline | |
| import gradio as gr | |
| # Load model | |
| classifier = pipeline("text-classification", model="Georg4000/Octa") | |
| def predict(text): | |
| return classifier(text) | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs=gr.Textbox(lines=2, placeholder="Enter text here..."), | |
| outputs="label", | |
| title="Octagon Text Classification", | |
| description="A demo for the Octagon model trained on IMDB reviews." | |
| ) | |
| iface.launch() |