added explain

app.py

@@ -163,13 +163,12 @@ def sequence_to_classify(sequence, labels):
         sequence,
         predicted_labels))
     
-    '''
     # Explain word attributes
     stop_words =  nltk.corpus.stopwords.words('english')
     puncts = list(string.punctuation)
         
     model_expl = ZeroShotClassificationExplainer(classifier.model, classifier.tokenizer)
-    response_expl = model_expl(sequence, labels, hypothesis_template="This example is {}.")
+    response_expl = model_expl(sequence, label_clean, hypothesis_template="This example is {}.")
     
     if len(labels_pred) == 1:
         response_expl = response_expl[model_expl.predicted_label]
@@ -180,7 +179,6 @@ def sequence_to_classify(sequence, labels):
                 del response_expl[key][idx]
     
     print(response_expl)
-    '''
 
     return clean_output