Modified app.py

app.py

@@ -20,20 +20,17 @@ def extract_article_text(url):
 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/']]
+sample_url = [['https://www.cp24.com/news/ontario-reports-481-new-covid-19-cases-1-death-1.5667950'],
+]
 
 desc = '''
- Let Hugging Face models summarize articles for you. 
- Note: Shorter articles generate faster summaries.
- This summarizer uses bart-large-cnn model by Facebook
+ the news summarizer uses bart-large-cnn model by Facebook to summarize the text of the article.
  '''
 
 iface = Series(extractor, summarizer, 
  inputs = gr.inputs.Textbox(
  lines = 2,
- label = 'URL'
+ label = 'Enter URL below'
  ),
  outputs = 'text',
  title = 'News Summarizer',