| import gradio as gr | |
| from transformers import pipeline | |
| def do_action(text): | |
| classifier = pipeline("zero-shot-classification", | |
| model="facebook/bart-large-mnli") | |
| candidate_labels = ['gun control', 'abortion', 'gender transition', 'freedom of speech', 'immigration', 'taxes'] | |
| result = classifier(text, candidate_labels) | |
| result = dict(zip(result['labels'], result['scores'])) | |
| return result | |
| iface = gr.Interface(fn=do_action, inputs="text", outputs="label") | |
| iface.launch() | |