diff --git a/.idea/cogniStance.iml b/.idea/cogniStance.iml
index 2f0a84135ee5589963d729358a91d6e595cc2a32..1058f41f56d770f2db61d475ecae5e7f88b33745 100644
--- a/.idea/cogniStance.iml
+++ b/.idea/cogniStance.iml
@@ -3,6 +3,7 @@
   <component name="NewModuleRootManager">
     <content url="file://$MODULE_DIR$">
       <excludeFolder url="file://$MODULE_DIR$/.venv" />
+      <excludeFolder url="file://$MODULE_DIR$/venv" />
     </content>
     <orderEntry type="jdk" jdkName="Python 3.9 (cognistance)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
diff --git a/api/api_functions.py b/api/api_functions.py
index 5aace6261be356028df8a59baf55067af1c51760..92ab9894aee21c21c793196e293e3db81c90e432 100644
--- a/api/api_functions.py
+++ b/api/api_functions.py
@@ -1,3 +1,5 @@
+from flask import make_response, jsonify
+
 from func.ner.ner import *
 from func.usas.usas import *
 
@@ -7,7 +9,11 @@ from func.usas.usas import *
 # Returns NER results
 def get_ner_for_data(page):
     result = run_ner_on_text(page)
-    return result
+
+    if result["code"] == "SUCCESS":
+        return make_response(jsonify(result), 201)
+
+    return make_response(jsonify(result), 400)
 
 
 def get_usas_for_data():
diff --git a/func/ner/ner.py b/func/ner/ner.py
index b17f5b8e989e3e5423e56a893db7a1587781b111..000199998becc47e986bb086fa06538fb5cb2b21 100644
--- a/func/ner/ner.py
+++ b/func/ner/ner.py
@@ -5,14 +5,18 @@ from transformers import pipeline
 # Perform NER on Text
 def run_ner_on_text(page):
     ner_driver = CkipNerChunker(model="bert-base")
-    ws_driver = CkipWordSegmenter(device=-1)
 
-    txt = [
-        "傅達仁今將執行安樂死，卻突然爆出自己20年前遭緯來體育台封殺，他不懂自己哪裡得罪到電視台。",
-        "美國參議院針對今天總統布什所提名的勞工部長趙小蘭展開認可聽證會，預料她將會很順利通過參議院支持，成為該國有史以來第一位的華裔女性內閣成員。",
-        "空白 也是可以的～",
-    ]
+    data = []
+    ner = ner_driver([page])
 
-    ner = ner_driver(txt)
-    print(ner)
-    return "hello ner"
+    for item in ner[0]:
+        word = item.word
+        ner = item.ner
+        idx = item.idx
+        obj = {"word":word, "translation": "" , "ner":ner, "idx":idx}
+
+        data.append(obj)
+
+    result = {'output': data,'message': 'Done', 'code': 'SUCCESS'}
+
+    return result