fix demo

python/examples/bert/bert_web_service.py

@@ -21,7 +21,10 @@ import os
 
 class BertService(WebService):
     def load(self):
-        self.reader = ChineseBertReader(vocab_file="vocab.txt", max_seq_len=128)
+        self.reader = ChineseBertReader({
+            "vocab_file": "vocab.txt",
+            "max_seq_len": 128
+        })
 
     def preprocess(self, feed=[], fetch=[]):
         feed_res = [

python/examples/faster_rcnn_model/README.md

@@ -12,7 +12,7 @@ If you want to have more detection models, please refer to [Paddle Detection Mod
 ### Start the service
 ```
 tar xf faster_rcnn_model.tar.gz
-mv faster_rcnn_model/pddet *.
+mv faster_rcnn_model/pddet* .
 GLOG_v=2 python -m paddle_serving_server_gpu.serve --model pddet_serving_model --port 9494 --gpu_id 0
 ```