added explain

app.py

@@ -15,12 +15,12 @@ models = {'en': 'joeddav/xlm-roberta-large-xnli', #'Narsil/deberta-large-mnli-ze
           #'tr': 'vicgalle/xlm-roberta-large-xnli-anli', # Turkish
           'no': 'NbAiLab/nb-bert-base-mnli'} # Norsk
 
-hypothesis_templates = {'en': 'This example is {}.', # English
-                        'de': 'Dieses beispiel ist {}.', # German
-                        'es': 'Este ejemplo es {}.', # Spanish
-                        'it': 'Questo esempio è {}.', # Italian
-                        'ru': 'Этот пример {}.', # Russian
-                        'tr': 'Bu örnek {}.', # Turkish
+hypothesis_templates = {'en': 'This passage talks about {}.', # English
+                        #'de': 'Dieses beispiel ist {}.', # German
+                        #'es': 'Este ejemplo es {}.', # Spanish
+                        #'it': 'Questo esempio è {}.', # Italian
+                        #'ru': 'Этот пример {}.', # Russian
+                        #'tr': 'Bu örnek {}.', # Turkish
                         'no': 'Dette eksempelet er {}.'} # Norsk
 
 classifiers = {'en': pipeline("zero-shot-classification", hypothesis_template=hypothesis_templates['en'],
@@ -170,7 +170,7 @@ def sequence_to_classify(sequence, labels):
     puncts = list(string.punctuation)
         
     model_expl = ZeroShotClassificationExplainer(classifier.model, classifier.tokenizer)
-    response_expl = model_expl(sequence, label_clean, hypothesis_template="This example is {}.")
+    response_expl = model_expl(sequence, label_clean, hypothesis_template="This passage talks about {}.")
     
     if len(predicted_labels) == 1:
         response_expl = response_expl[model_expl.predicted_label]