Update highlighter.py

highlighter.py

@@ -6,7 +6,7 @@ from predictors import predict_proba_quillbot
 def explainer(text):
     class_names = ['negative', 'positive']
     explainer = LimeTextExplainer(class_names=class_names, split_expression=sent_tokenize)
-    exp = explainer.explain_instance(text, predictor, num_features=20, num_samples=300)
+    exp = explainer.explain_instance(text, predict_proba_quillbot, num_features=20, num_samples=300)
     sentences = [sent for sent in sent_tokenize(text)]
     weights_mapping = exp.as_map()[1]
     sentences_weights = {sentence: 0 for sentence in sentences}