Update app.py

app.py

@@ -6,6 +6,7 @@ nltk.download('punkt')
 from transformers import pipeline
 import gradio as gr
 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()
@@ -38,6 +39,7 @@ 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")  
@@ -45,21 +47,23 @@ 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"))
+                 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
+    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
 
-  article = Article(url, config=config)
-  article.download()
-  article.parse()
-  text = article.text
-  return text
-    extractor = gr.Interface(extract_article_text, 'text', '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/'],
@@ -73,14 +77,14 @@ desc =  '''
         '''
 
 iface = Series(extractor, summarizer, 
-  inputs = gr.inputs.Textbox(
-      lines = 2,
-      label = 'URL'
+  inputs=gr.inputs.Textbox(
+      lines=2,
+      label='URL'
   ),
-  outputs = 'text',
-  title = 'News Summarizer',
-  theme = 'huggingface',
-  description = desc,
+  outputs='text',
+  title='News Summarizer',
+  theme='huggingface',
+  description=desc,
   examples=sample_url)
 
 iface.launch()