diff --git a/src/py3.x/tensorflow2.x/test.ipynb b/src/py3.x/tensorflow2.x/test.ipynb
index 8473f584..bfe5f3a5 100644
--- a/src/py3.x/tensorflow2.x/test.ipynb
+++ b/src/py3.x/tensorflow2.x/test.ipynb
@@ -175,6 +175,7 @@
     "\n",
     "def func(line, ngrams=[]):\n",
     "    # 加入我们的组合词，保证分词的准确性\n",
+    "        \n",
     "    if ngrams != []:\n",
     "        for word in ngrams:\n",
     "            jieba.add_word(\"\".join(word.lower()))\n",
@@ -182,8 +183,7 @@
     "    words = [word for word in jieba.cut(str(line).lower(), cut_all=False)]\n",
     "    # print(\">>> \", train)\n",
     "    return \" \".join(words)\n",
-    "x = df[\"comment\"].apply(lambda line: func(line))\n",
-    "y"
+    "x = df[\"comment\"].apply(lambda line: func(line))\n"
    ]
   }
  ]
diff --git a/src/py3.x/tensorflow2.x/text_Emotion.py b/src/py3.x/tensorflow2.x/text_Emotion.py
index 6b4b8986..ee5923ab 100644
--- a/src/py3.x/tensorflow2.x/text_Emotion.py
+++ b/src/py3.x/tensorflow2.x/text_Emotion.py
@@ -210,4 +210,4 @@ if __name__ == '__main__':
             status = True
         res = model.predict(text)
         label_dic = {0:"消极的", 1:"中性的", 2:"积极的"}
-        print(res, " : ",label_dic[np.argmax(res)])
+        print(res, " : ", label_dic[np.argmax(res)])