Fix Text Preprocessor

Videobook/TextPreprocessor.py

@@ -54,9 +54,10 @@ class TextPreprocessor:
         return {'pos':positive, 'neg': negative}
   
   def __call__(self, text):
+    old_sentences = nltk.sent_tokenize(text)
     coref_text = self.coref(text)
     sentences = nltk.sent_tokenize(coref_text)
     processed_sentences = []
     for sentence in sentences:
         processed_sentences.append(self.neg_prompt(sentence))
-    return processed_sentences, sentences
+    return processed_sentences, old_sentences