added explain

app.py

@@ -164,13 +164,14 @@ def sequence_to_classify(sequence, labels):
         predicted_labels))
     
     # Explain word attributes
-    stop_words =  nltk.corpus.stopwords.words('english')
+    stop_words = nltk.corpus.stopwords.words('english')
     puncts = list(string.punctuation)
         
     model_expl = ZeroShotClassificationExplainer(classifier.model, classifier.tokenizer)
     response_expl = model_expl(sequence, label_clean, hypothesis_template="This example is {}.")
     
-    if len(labels_pred) == 1:
+    print("length of predicted_label", len(model_expl.predicted_label))
+    if len(predicted_labels) == 1:
         response_expl = response_expl[model_expl.predicted_label]
 
     for key in response_expl: