abhisheky127 commited on
Commit
947bf26
1 Parent(s): 1be780a

updating typos

Browse files
Files changed (1) hide show
  1. app.py +12 -12
app.py CHANGED
@@ -12,7 +12,7 @@ classifier = pipeline("zero-shot-classification",
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  def zero_shot(doc, candidates):
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  given_labels = candidates.split(",")
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  given_labels = list(map(str.strip, given_labels))
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- dictionary = classifier(doc, given_labels)
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  labels = dictionary['labels']
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  scores = dictionary['scores']
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  return dict(zip(labels, scores))
@@ -38,17 +38,17 @@ output = gr.Label(label="Output")
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  #example object
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  transactions_and_tags = [
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- ["MPS/TRUFFLES /202303261700/034587/Bangalore", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["MPS/TACO BELL /202304012247/108300/BANGALORE", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["POS XXXXXXXXXXXX0001 APOLLO PHARMACY", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["BIL/ONL/000471093694/1MG Techno/X7ZRUSVLURFQZO", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["POS XXXXXXXXXXXX1111 DECATHLON SPORTS", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["POS XXXXXXXXXXXX1111 IKEA INDIA PVT L", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["POS XXXXXXXXXXXX1111 WWW AMAZON IN", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["ME DC SI XXXXXXXXXXXX1111 SPOTIFY SI", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["POS/NETFLIX/1140920002/100623/17:25", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["POS XXXXXXXXXXXX1110 MAKEMYTRIP INDIA", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"],
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- ["BIL/ONL/000691178015/IRCTC Serv/XZZBX91LTCY1AZ", "Medical,Food,Shopping,Subscription,Travel, Miscellaneous"]
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  ]
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  #create interface
 
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  def zero_shot(doc, candidates):
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  given_labels = candidates.split(",")
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  given_labels = list(map(str.strip, given_labels))
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+ dictionary = classifier(preprocess(doc), given_labels)
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  labels = dictionary['labels']
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  scores = dictionary['scores']
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  return dict(zip(labels, scores))
 
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  #example object
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  transactions_and_tags = [
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+ ["MPS/TRUFFLES /202303261700/034587/Bangalore", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["MPS/TACO BELL /202304012247/108300/BANGALORE", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["POS XXXXXXXXXXXX0001 APOLLO PHARMACY", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["BIL/ONL/000471093694/1MG Techno/X7ZRUSVLURFQZO", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["POS XXXXXXXXXXXX1111 DECATHLON SPORTS", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["POS XXXXXXXXXXXX1111 IKEA INDIA PVT L", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["POS XXXXXXXXXXXX1111 WWW AMAZON IN", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["ME DC SI XXXXXXXXXXXX1111 SPOTIFY SI", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["POS/NETFLIX/1140920002/100623/17:25", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["POS XXXXXXXXXXXX1110 MAKEMYTRIP INDIA", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
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+ ["BIL/ONL/000691178015/IRCTC Serv/XZZBX91LTCY1AZ", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"]
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  ]
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  #create interface