| import gradio as gr | |
| from transformers import pipeline | |
| summarizer = pipeline("summarization", model="facebook/bart-large-cnn") | |
| def f(x): | |
| return summarizer(x, max_length=160, min_length=40, do_sample=False)[0]['summary_text'] | |
| iface = gr.Interface(fn=f, inputs="text", outputs="text") | |
| iface.launch(share=True) |