Save original examples (needed on show_samples).

naive-nlu/tree_nlu/knowledge_base.py

@@ -15,6 +15,7 @@ def diff_knowledge(before, after):
 class KnowledgeBase(object):
     def __init__(self, knowledge, examples=[], trained=[]):
         self.knowledge = copy.copy(knowledge)
+        self.originals = []
         self.examples = copy.copy(examples)
         self.trained = copy.copy(trained)
 
@@ -43,6 +44,7 @@ class KnowledgeBase(object):
             self.act_upon(result)
             logging.debug("\x1b[7;34m> set: {} \x1b[0m".format(self.get_value(result)))
             self.examples.append((decomposition, inferred_tree))
+            self.originals.append(example['text'])
 
             # Reduce values
             self.trained = parsing.reprocess_language_knowledge(self, self.examples)