diff --git a/python/examples/senta/README.md b/python/examples/senta/README.md
index 307f4829407b2fb03b64035c94ac00c3d55c27f5..0a1ea9fa5f55d788605a58485863748a190d0b0f 100644
--- a/python/examples/senta/README.md
+++ b/python/examples/senta/README.md
@@ -12,5 +12,5 @@ In the Chinese sentiment classification task, the Chinese word segmentation need
 In this demo, the LAC task is placed in the preprocessing part of the HTTP prediction service of the sentiment classification task. The LAC prediction service is deployed on the CPU, and the sentiment classification task is deployed on the GPU, which can be changed according to the actual situation.
 ## Client prediction
 ```
-curl -H "Content-Type:application/json" -X POST -d '{"words": "天气不错 | 0", "fetch":["sentence_feature"]}' http://127.0.0.1:9292/senta/prediction
+curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "天气不错"}], "fetch":["class_probs"]}' http://127.0.0.1:9292/senta/prediction
 ```
diff --git a/python/examples/senta/README_CN.md b/python/examples/senta/README_CN.md
index cd7cd8564242db8c30525978a4b806c866cd0d0f..24ee9b3e724d2700690042f7a0bad56badde8043 100644
--- a/python/examples/senta/README_CN.md
+++ b/python/examples/senta/README_CN.md
@@ -13,5 +13,5 @@ python senta_web_service.py senta_bilstm_model/ workdir 9292
 
 ## 客户端预测
 ```
-curl -H "Content-Type:application/json" -X POST -d '{"words": "天气不错 | 0", "fetch":["sentence_feature"]}' http://127.0.0.1:9292/senta/prediction
+curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"words": "天气不错"}], "fetch":["class_probs"]}' http://127.0.0.1:9292/senta/prediction
 ```
diff --git a/python/examples/senta/get_data.sh b/python/examples/senta/get_data.sh
index 75bc8539721268aa212d5d6d726e1e9d600188b1..f1fb3844a703503177906a029bd42810e5fa3f33 100644
--- a/python/examples/senta/get_data.sh
+++ b/python/examples/senta/get_data.sh
@@ -1,5 +1,5 @@
-#wget https://paddle-serving.bj.bcebos.com/paddle_hub_models/text/SentimentAnalysis/senta_bilstm.tar.gz --no-check-certificate
-#tar -xzvf senta_bilstm.tar.gz
+wget https://paddle-serving.bj.bcebos.com/paddle_hub_models/text/SentimentAnalysis/senta_bilstm.tar.gz --no-check-certificate
+tar -xzvf senta_bilstm.tar.gz
 wget https://paddle-serving.bj.bcebos.com/paddle_hub_models/text/LexicalAnalysis/lac_model.tar.gz --no-check-certificate
 tar -xzvf lac_model.tar.gz
 wget https://paddle-serving.bj.bcebos.com/reader/lac/lac_dict.tar.gz  --no-check-certificate
diff --git a/python/examples/senta/senta_web_service.py b/python/examples/senta/senta_web_service.py
index 7077b84b7a97cac6387b8cb2e88e31c0b0e5d70e..103c4c311a1435b1fc7b9a05b3fca7ddc0200db5 100644
--- a/python/examples/senta/senta_web_service.py
+++ b/python/examples/senta/senta_web_service.py
@@ -70,9 +70,7 @@ class SentaService(WebService):
         self.senta_reader = SentaReader(vocab_path=self.senta_dict_path)
 
     def preprocess(self, feed={}, fetch={}):
-        if "words" not in feed:
-            raise ("feed data error!")
-        feed_data = self.lac_reader.process(feed["words"])
+        feed_data = self.lac_reader.process(feed[0]["words"])
         fetch = ["crf_decode"]
         if self.show:
             print("---- lac reader ----")
@@ -81,7 +79,7 @@ class SentaService(WebService):
         if self.show:
             print("---- lac out ----")
             print(lac_result)
-        segs = self.lac_reader.parse_result(feed["words"],
+        segs = self.lac_reader.parse_result(feed[0]["words"],
                                             lac_result["crf_decode"])
         if self.show:
             print("---- lac parse ----")
@@ -107,31 +105,4 @@ senta_service.init_lac_reader()
 senta_service.init_senta_reader()
 senta_service.init_lac_service()
 senta_service.run_server()
-#senta_service.run_flask()
-
-from flask import Flask, request
-
-app_instance = Flask(__name__)
-
-
-@app_instance.before_first_request
-def init():
-    global uci_service
-    senta_service._launch_web_service()
-
-
-service_name = "/" + senta_service.name + "/prediction"
-
-
-@app_instance.route(service_name, methods=["POST"])
-def run():
-    print("---- run ----")
-    print(request.json)
-    return senta_service.get_prediction(request)
-
-
-if __name__ == "__main__":
-    app_instance.run(host="0.0.0.0",
-                     port=senta_service.port,
-                     threaded=False,
-                     processes=4)
+senta_service.run_flask()