Update app.py

app.py

@@ -5,4 +5,82 @@ nltk.download('punkt')
 
 from transformers import pipeline
 import gradio as gr
-from gradio.mix import Parallel, Series
+from gradio.mix import Parallel, Series
+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
+
+url = 'https://www.technologyreview.com/2021/07/09/1028140/ai-voice-actors-sound-human/'
+article = Article(url, config=config)
+article.download() 
+article.parse() 
+
+authors = ", ".join(author for author in article.authors)
+title = article.title
+date = article.publish_date
+text = article.text
+image = article.top_image
+videos = article.movies
+url = article.url
+print("Information about the article")
+print("=" * 30)
+print(f"Title: {title}")
+print(f"Author(s): {authors}")
+print(f"Publish date: {date}")
+print(f"Image: {image}")
+print(f"Videos: {videos}")
+print(f"Article link: {url}")
+print(f"Content: {text[:100] + '...'}")
+article.nlp()
+keywords = article.keywords
+keywords.sort()
+print(keywords)
+print(f"Summary: \n{article.summary}")
+io1 = gr.Interface.load('huggingface/sshleifer/distilbart-cnn-12-6')
+io2 = gr.Interface.load("huggingface/facebook/bart-large-cnn")
+io3 = gr.Interface.load("huggingface/google/pegasus-xsum")  
+io4 = gr.Interface.load("huggingface/sshleifer/distilbart-cnn-6-6")                   
+
+iface = Parallel(io1, io2, io3, io4,
+                 theme='huggingface', 
+                 inputs = gr.inputs.Textbox(lines = 10, label="Text"))
+
+iface.launch()
+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()