simply LAC demo

demo/lac/README.md

@@ -27,18 +27,18 @@ $ pip install --upgrade paddlepaddle
 
 ## 命令行方式预测
 
-`infer.sh`给出了使用命令行调用Module预测的示例脚本
+`cli_demo.sh`给出了使用命令行接口(Command Line Interface)调用Module预测的示例脚本
 通过以下命令试验下效果
 
 ```shell
-$ sh infer.sh
+$ sh cli_demo.sh
 ```
 
-## 通过python API预测
+## 通过Python API预测
 
-`infer_by_code.py`给出了使用python API调用Module预测的示例代码
+`lac_demo.py`给出了使用python API调用PaddleHub LAC Module预测的示例代码
 通过以下命令试验下效果
 
 ```shell
-python infer_by_code.py
+python lac_demo.py
 ```

demo/lac/infer_by_code.py

-import os
-import paddlehub as hub
-
-
-def infer_with_input_text():
-    # get lac module
-    lac = hub.Module(name="lac")
-
-    test_text = ["今天是个好日子", "天气预报说今天要下雨", "下一班地铁马上就要到了"]
-
-    # get the input keys for signature 'lexical_analysis'
-    data_format = lac.processor.data_format(sign_name='lexical_analysis')
-    key = list(data_format.keys())[0]
-
-    # set input dict
-    input_dict = {key: test_text}
-
-    # execute predict and print the result
-    results = lac.lexical_analysis(data=input_dict)
-    for index, result in enumerate(results):
-        hub.logger.info(
-            "sentence %d segmented result: %s" % (index + 1, result['word']))
-
-
-def infer_with_input_file():
-    # get lac module
-    lac = hub.Module(name="lac")
-
-    # get the input keys for signature 'lexical_analysis'
-    data_format = lac.processor.data_format(sign_name='lexical_analysis')
-    key = list(data_format.keys())[0]
-
-    # parse input file
-    test_file = os.path.join("test", "test.txt")
-    test_text = hub.io.parser.txt_parser.parse(test_file)
-
-    # set input dict
-    input_dict = {key: test_text}
-    results = lac.lexical_analysis(data=input_dict)
-    for index, result in enumerate(results):
-        hub.logger.info(
-            "sentence %d segmented result: %s" % (index + 1, result['word']))
-
-
-if __name__ == "__main__":
-    infer_with_input_file()

demo/lac/lac_demo.py

+import os
+import paddlehub as hub
+
+if __name__ == "__main__":
+    # Load LAC Module
+    lac = hub.Module(name="lac")
+    test_text = ["今天是个好日子", "天气预报说今天要下雨", "下一班地铁马上就要到了"]
+
+    # Set input dict
+    inputs = {"text": test_text}
+
+    # execute predict and print the result
+    results = lac.lexical_analysis(data=inputs)
+    for result in results:
+        print(result['word'])
+        print(result['tag'])

demo/lac/test/test.txt

 今天是个好日子
+天气预报说今天要下雨
+下一班地铁马上就要到了