news_summarizer / app.py
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Modified app.py
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from newspaper import Article
from newspaper import Config
import gradio as gr
from gradio.mix import Parallel, Series
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.technologyreview.com/2021/07/22/1029973/deepmind-alphafold-protein-folding-biology-disease-drugs-proteome/'],
['https://www.technologyreview.com/2021/07/21/1029860/disability-rights-employment-discrimination-ai-hiring/'],
['https://www.technologyreview.com/2021/07/09/1028140/ai-voice-actors-sound-human/']]
desc = '''
Let Hugging Face models summarize articles for you.
Note: Shorter articles generate faster summaries.
This summarizer uses bart-large-cnn model by Facebook
'''
iface = Series(extractor, summarizer,
inputs = gr.inputs.Textbox(
lines = 2,
label = 'URL'
),
outputs = 'text',
title = 'News Summarizer',
theme = 'huggingface',
description = desc,
examples=sample_url)
iface.launch()