| from transformers import pipeline |
| import gradio as gr |
|
|
| get_completion = pipeline("summarization", model="shleifer/distilbart-cnn-12-6") |
|
|
| def summarize(input): |
| output = get_completion(input) |
| return output[0]['summary_text'] |
|
|
| gr.close_all() |
| demo = gr.Interface(fn=summarize, |
| inputs=[gr.Textbox(label="Text to summarize", lines=6)], |
| outputs=[gr.Textbox(label="Result", lines=3)], |
| title="Text summarization with distilbart-cnn", |
| description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!" |
| ) |
|
|
| demo.launch() |
| |
