Update FAQ Finance Paddle Serving dependencies

applications/question_answering/faq_finance/README.md

@@ -399,10 +399,24 @@ python milvus_ann_search.py --data_path data/qa_pair.csv \
 
 #### Paddle Serving 部署
 
-Paddle Serving 的安装可以参考[Paddle Serving 安装文档](https://github.com/PaddlePaddle/Serving#installation)。需要在服务端和客户端安装相关的依赖，安装完依赖后就可以执行下面的步骤。
+Paddle Serving 的安装可以参考[Paddle Serving 安装文档](https://github.com/PaddlePaddle/Serving#installation)。需要在服务端和客户端安装相关的依赖，用pip安装Paddle Serving的依赖如下：
 
+```
+pip install paddle-serving-client==0.8.3 -i https://pypi.tuna.tsinghua.edu.cn/simple
+pip install paddle-serving-app==0.8.3 -i https://pypi.tuna.tsinghua.edu.cn/simple
+
+# 如果是CPU部署，只需要安装CPU Server
+pip install paddle-serving-server==0.8.3 -i https://pypi.tuna.tsinghua.edu.cn/simple
 
-首先把生成的静态图模型导出为 Paddle Serving的格式，命令如下：
+# 如果是GPU Server，需要确认环境再选择执行哪一条，推荐使用CUDA 10.2的包
+# CUDA10.2 + Cudnn7 + TensorRT6（推荐）
+pip install paddle-serving-server-gpu==0.8.3.post102 -i https://pypi.tuna.tsinghua.edu.cn/simple
+# CUDA10.1 + TensorRT6
+pip install paddle-serving-server-gpu==0.8.3.post101 -i https://pypi.tuna.tsinghua.edu.cn/simple
+# CUDA11.2 + TensorRT8
+pip install paddle-serving-server-gpu==0.8.3.post112 -i https://pypi.tuna.tsinghua.edu.cn/simple
+```
+更详细的安装信息请参考[链接]((https://github.com/PaddlePaddle/Serving/blob/v0.9.0/doc/Install_Linux_Env_CN.md))，安装完依赖后就可以执行下面的步骤。首先把生成的静态图模型导出为 Paddle Serving的格式，命令如下：
 
 ```
 python export_to_serving.py \

applications/question_answering/faq_finance/requirements.txt

@@ -5,7 +5,4 @@ paddlepaddle-gpu>=2.2.3
 hnswlib>=0.5.2
 numpy>=1.17.2
 visualdl>=2.2.2
-paddle-serving-app>=0.7.0        
-paddle-serving-client>=0.7.0        
-paddle-serving-server-gpu>=0.7.0.post102
 pybind11