Create app.py

app.py

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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',
+  theme = 'grass',
+  description = desc,
+  examples=sample_url)
+  
+  iface.launch()