updating preprocess function

app.py

@@ -12,6 +12,8 @@ classifier = pipeline("zero-shot-classification",
 def zero_shot(doc, candidates):
     given_labels = candidates.split(",")
     given_labels = list(map(str.strip, given_labels))
+    doc = preprocess(doc)
+    print(doc)
     dictionary = classifier(preprocess(doc), given_labels)
     labels = dictionary['labels']
     scores = dictionary['scores']
@@ -38,9 +40,9 @@ output = gr.Label(label="Output")
 
 #example object
 transactions_and_tags = [
-    ["MPS/TRUFFLES /202303261700/034587/Bangalore", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
-    ["MPS/TACO BELL /202304012247/108300/BANGALORE", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
-    ["POS XXXXXXXXXXXX0001 APOLLO PHARMACY", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
+    ["MPS/TRUFFLES/202303261700/034587/Bangalore", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
+    ["MPS/TACO BELL/202304012247/108300/BANGALORE", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
+    ["POS XXXXXXXXXXXX0001APOLLO PHARMACY", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
     ["BIL/ONL/000471093694/1MG Techno/X7ZRUSVLURFQZO", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
     ["POS XXXXXXXXXXXX1111 DECATHLON SPORTS", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],
     ["POS XXXXXXXXXXXX1111 IKEA INDIA PVT L", "Medical, Food, Shopping, Subscription, Travel, Miscellaneous"],