ksvmuralidhar commited on
Commit
3a8bf3a
1 Parent(s): a45dbd7

Update app.py

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Files changed (1) hide show
  1. app.py +5 -2
app.py CHANGED
@@ -183,7 +183,7 @@ def index():
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  last_update_utc = datetime.strptime(redis_client.get('NEWSFETCHTIME'), '%Y-%m-%d %H:%M:%S.%f')
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  last_update_mins = int(np.ceil((datetime.now() - last_update_utc).seconds / 60))
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  last_update_str = f'Updated {last_update_mins} {"minutes" if last_update_mins > 1 else "minute"} ago'
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- result_str += f'<p class="srctxt">News aggregated from <b>{src_str}</b>.<br><br>{last_update_str}&nbsp;&nbsp;&nbsp;&nbsp;<a href="{UK_EDITION_URL}">Switch to UK edition</a></p>'
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  result_str += '''
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  <div class="input-container">
@@ -196,7 +196,10 @@ def index():
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  result_str += '<div class="show-more-word-cloud" onclick=word_cloud_display()><p class="three-dots">...</p></div>'
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  result_str += '''<div style="padding-bottom: 10px; font-size: 12px; font-family: Arial, Helvetica, sans-serif;">
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- News categories and similar news are AI-generated</div>'''
 
 
 
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  for n, i in final_df.iterrows(): # iterating through the search results
 
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  last_update_utc = datetime.strptime(redis_client.get('NEWSFETCHTIME'), '%Y-%m-%d %H:%M:%S.%f')
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  last_update_mins = int(np.ceil((datetime.now() - last_update_utc).seconds / 60))
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  last_update_str = f'Updated {last_update_mins} {"minutes" if last_update_mins > 1 else "minute"} ago'
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+ result_str += f'<p class="srctxt">News aggregated from <b>{src_str}</b>.<br><br>{last_update_str}&nbsp;&nbsp;&nbsp;&nbsp;<a href="{UK_EDITION_URL}"><b>Switch to UK edition</b></a></p>'
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  result_str += '''
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  <div class="input-container">
 
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  result_str += '<div class="show-more-word-cloud" onclick=word_cloud_display()><p class="three-dots">...</p></div>'
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  result_str += '''<div style="padding-bottom: 10px; font-size: 12px; font-family: Arial, Helvetica, sans-serif;">
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+ News categories and similar news are AI-generated</div>
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+ <div style="padding-bottom: 10px; font-size: 12px; font-family: Arial, Helvetica, sans-serif; font-weight: bold;">
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+ {len(final_df)} news articles available</div>
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+ '''
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  for n, i in final_df.iterrows(): # iterating through the search results