Changed model to roberta

app.py

@@ -96,10 +96,10 @@ import tensorflow
 # feedbacks += additional_feedbacks
 
 issues = ["Misconduct" , "Negligence" , "Discrimination" , "Corruption" , "Violation of Rights" , "Inefficiency" ,
-           "Unprofessional Conduct", "Response Time" , "Use of Firearms" , "Property Damage" , "No Issue"]
+           "Unprofessional Conduct", "Response Time" , "Use of Firearms" , "Property Damage"]
 
 
-groupByType = pipeline("zero-shot-classification" , model="facebook/bart-large-mnli")
+groupByType = pipeline("zero-shot-classification" , model="MoritzLaurer/deberta-v3-large-zeroshot-v1")
 
 
 
@@ -145,7 +145,7 @@ groupByType = pipeline("zero-shot-classification" , model="facebook/bart-large-m
 
 
 def zeroshotclassification(feedback):
-    issue = groupByType(feedback , candidate_labels = issues)['labels'][0]
+    issue = groupByType(feedback , candidate_labels = issues , multi_label = False)['labels'][0]
     return issue
 
 iface = gr.Interface(