update model and readme for fit a line

python/examples/fit_a_line/README.md

+# Fit a line example, prediction through rpc service
+Start rpc service
+``` shell
+sh get_data.sh
+python test_server.py uci_housing_model/
+```
+
+Prediction
+``` shell
+python test_client.py uci_housing_client/serving_client_conf.prototxt
+```
+
+# prediction through http service
+Start a web service with default web service hosting modules
+``` shell
+python -m paddle_serving_server.web_serve --model uci_housing_model/ --thread 10 --name uci --port 9393
+```
+
+Prediction through http post
+``` shell
+curl -H "Content-Type:application/json" -X POST -d '{"x": [0.0137, -0.1136, 0.2553, -0.0692, 0.0582, -0.0727, -0.1583, -0.0584, 0.6283, 0.4919, 0.1856, 0.0795, -0.0332], "fetch":["price"]}' http://127.0.0.1:9393/uci/prediction
+```
\ No newline at end of file

python/examples/fit_a_line/get_data.sh

+wget --no-check-certificate https://paddle-serving.bj.bcebos.com/uci_housing.tar.gz
+tar -xzf uci_housing.tar.gz

python/examples/fit_a_line/test_client.py

@@ -4,12 +4,12 @@ import sys
 
 client = Client()
 client.load_client_config(sys.argv[1])
-client.connect(["127.0.0.1:9292"])
+client.connect(["127.0.0.1:9393"])
 
 test_reader = paddle.batch(paddle.reader.shuffle(
     paddle.dataset.uci_housing.test(), buf_size=500), batch_size=1)
 
 for data in test_reader():
-    fetch_map = client.predict(feed={"x": data[0][0]}, fetch=["y"])
-    print("{} {}".format(fetch_map["y"][0], data[0][1][0]))
+    fetch_map = client.predict(feed={"x": data[0][0]}, fetch=["price"])
+    print("{} {}".format(fetch_map["price"][0], data[0][1][0]))
     

python/examples/fit_a_line/test_server.py

@@ -7,13 +7,15 @@ from paddle_serving_server import Server
 op_maker = OpMaker()
 read_op = op_maker.create('general_reader')
 general_infer_op = op_maker.create('general_infer')
+response_op = op_maker.create('general_response')
 
 op_seq_maker = OpSeqMaker()
 op_seq_maker.add_op(read_op)
 op_seq_maker.add_op(general_infer_op)
+op_seq_maker.add_op(response_op)
 
 server = Server()
 server.set_op_sequence(op_seq_maker.get_op_sequence())
 server.load_model_config(sys.argv[1])
-server.prepare_server(workdir="work_dir1", port=9292, device="cpu")
+server.prepare_server(workdir="work_dir1", port=9393, device="cpu")
 server.run_server()