File size: 618 Bytes
5a0dbe5 dc9545d 5a0dbe5 dc9545d 5a0dbe5 dc9545d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
import gradio as gr
from transformers import pipeline
get_completion = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
def summarize(input):
output = get_completion(input)
return output[0]['summary_text']
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 `sshleifer/distilbart-cnn-12-6` model under the hood!")
demo.launch(share=True) |