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from newspaper import Article | |
from newspaper import Config | |
import gradio as gr | |
from gradio.mix import Parallel, Series | |
def extrac_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(extrac_text, 'text', 'text') | |
summarizer = gr.Interface.load("huggingface/facebook/bart-large-cnn") | |
sample_url = [['https://www.cp24.com/news/ontario-reports-481-new-covid-19-cases-1-death-1.5667950'], | |
] | |
desc = ''' | |
The news summarizer app uses bart-large-cnn model by Facebook to summarize the text of a news article. | |
''' | |
iface = Series(extractor, summarizer, | |
inputs = gr.inputs.Textbox( | |
lines = 2, | |
label = 'Enter URL below' | |
), | |
outputs = 'text', | |
title = 'News Summarizer', | |
theme = 'grass', | |
layout = 'horizontal', | |
description = desc, | |
examples=sample_url) | |
iface.launch() |