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import gradio as gr
gr.close_all()
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']
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!"
inputs=[gr.Textbox(label="What do you want summarize !", lines=6)],
outputs=[gr.Textbox(label="Magic Summarization !!!", lines=3)],
title="Text summarization test and demo app by Srinivas.V ..",
description="Summarize any text",
allow_flagging="never"
)
demo.launch(share=True) |