add machine read server py

+from flask import Flask, redirect, url_for, request
+from gensim.models.doc2vec import Doc2Vec
+from konlpy.tag import Mecab
+import json
+import sys
+
+model = Doc2Vec.load("doc2vec.model")
+
+
+app = Flask(__name__)
+
+
+@app.route('/analyze', methods=['POST'])
+def sendreq():
+    try:
+        data = request.data.decode('utf-8').replace("'", '"')
+        datadic = json.loads(data)
+        sentence1 = datadic["sentence1"]
+        sentence2 = datadic["sentence2"]
+        token1 = parsetoken(sentence1)
+        token2 = parsetoken(sentence2)
+        num_similar = model.n_similarity(token1, token2)
+        return json.dumps({"result": str(num_similar)})
+    except:
+        return json.dumps({"result": -1})
+
+
+def parsetoken(sentence):
+    mecab = Mecab()
+    lst = []
+    tags = mecab.pos(sentence)
+    for tag in tags:
+        try:
+            model["/".join(tag)]
+            lst.append("/".join(tag))
+        except:
+            null
+   # resdata = dict(zip(range(1, len(lst) + 1), lst))
+    return lst
+
+
+if __name__ == "__main__":
+    app.run()