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from newspaper import Article
from newspaper import Config
import gradio as gr
from gradio.mix import Parallel, Series
from transformers import pipeline
import nltk
nltk.download('punkt')
def extract_article_text(url):
USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:78.0) Gecko/20100101 Firefox/78.0'
config = Config()
config.browser_user_agent = USER_AGENT
config.request_timeout = 10
article = Article(url, config=config)
article.download()
article.parse()
text = article.text
return text
extractor = gr.Interface(extract_article_text, 'text', 'text')
summarizer = gr.Interface.load("huggingface/facebook/bart-large-cnn")
sample_url = [['https://www.independent.co.uk/news/world/americas/us-politics/january-6-trump-biden-live-capitol-riot-b1988429.html'],
['https://edition.cnn.com/2022/01/06/asia/kazakhstan-fuel-protests-thursday-intl/index.html'],
['https://www.scmp.com/news/china/diplomacy/article/3162467/us-japan-boost-scientific-cooperation-defence-against?module=lead_hero_story&pgtype=homepage']]
description = '''
This application summarizes a news article based on the sentences used in the article.
Enter a news article link and submit for a summary.
A shorter news article produces a faster summary. A news article behind a paywall may produce an error.
'''
iface = Series(extractor, summarizer,
inputs = gr.inputs.Textbox(
lines = 2,
label = 'URL'
),
outputs = 'text',
title = 'Extractive News Summarizer BART',
theme = 'grass',
description = description,
examples=sample_url)
iface.launch() |