initial

chain.py

@@ -0,0 +1,26 @@
+import markovify
+import re
+import spacy
+
+SEPARATOR = r"\s*@@note@@\s*"
+
+nlp = spacy.load("en_core_web_sm")
+
+class Text(markovify.Text):
+    def word_split(self, sentence):
+        ret = []
+
+        for word in nlp(sentence):
+            if word.pos_ == 'PUNCT':
+                continue
+
+            ret.append("::".join((word.orth_, word.pos_)))
+
+        return ret
+
+    def word_join(self, words):
+        sentence = " ".join(word.split("::")[0] for word in words)
+        return sentence
+    
+    def sentence_split(self, text):
+        return re.split(SEPARATOR, text)