update lac (#2187)

modules/text/lexical_analysis/lac/README.md

@@ -245,7 +245,8 @@
 
   - 关于PaddleHub Serving更多信息参考：[服务部署](../../../../docs/docs_ch/tutorial/serving.md)
 
-
+- ### Gradio APP 支持
+  从 PaddleHub 2.3.1 开始支持使用链接 http://127.0.0.1:8866/gradio/lac 在浏览器中访问 lac 的 Gradio APP。
 
 ## 五、更新历史
 
@@ -287,6 +288,10 @@
 
   移除 fluid api
 
+* 2.4.0
+
+  添加 Gradio APP 支持
+
   - ```shell
-    $ hub install lac==2.3.0
+    $ hub install lac==2.4.0
     ```

modules/text/lexical_analysis/lac/ahocorasick.py

-# -*- coding: UTF-8 -*-
 """
 本模块实现AC自动机封装为Ahocorasick类，用于进行词典的多模匹配。
 """

modules/text/lexical_analysis/lac/custom.py

-# -*- coding: UTF-8 -*-
 """
 该模块实现用户自定义词典的功能
 """
-
 from io import open
 
 from .ahocorasick import Ahocorasick

modules/text/lexical_analysis/lac/module.py

-# -*- coding:utf-8 -*-
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
@@ -33,7 +32,7 @@ class DataFormatError(Exception):
 
 @moduleinfo(
     name="lac",
-    version="2.3.0",
+    version="2.4.0",
     summary=
     "Baidu's open-source lexical analysis tool for Chinese, including word segmentation, part-of-speech tagging & named entity recognition",
     author="baidu-nlp",
@@ -412,3 +411,11 @@ class LAC:
             raise DataFormatError
 
         return input_data
+
+    def create_gradio_app(self):
+        import gradio as gr
+        return gr.Interface(self.cut,
+                            gr.Text(label='text'),
+                            gr.JSON(label='results'),
+                            title='lac',
+                            allow_flagging='never')

modules/text/lexical_analysis/lac/processor.py

-# -*- coding:utf-8 -*-
 import io
 
 import numpy as np

modules/text/lexical_analysis/lac/test.py

@@ -8,6 +8,7 @@ os.environ['CUDA_VISIBLE_DEVICES'] = '0'
 
 
 class TestHubModule(unittest.TestCase):
+
     @classmethod
     def setUpClass(cls) -> None:
         cls.text = "今天是个好日子"
@@ -19,74 +20,51 @@ class TestHubModule(unittest.TestCase):
         shutil.rmtree('inference')
 
     def test_cut1(self):
-        results = self.module.cut(
-            text=self.text,
-            use_gpu=False,
-            batch_size=1,
-            return_tag=False
-        )
+        results = self.module.cut(text=self.text, use_gpu=False, batch_size=1, return_tag=False)
         self.assertEqual(results, ['今天', '是', '个', '好日子'])
 
     def test_cut2(self):
-        results = self.module.cut(
-            text=self.texts,
-            use_gpu=False,
-            batch_size=1,
-            return_tag=False
-        )
-        self.assertEqual(results, [
-            {'word': ['今天', '是', '个', '好日子']},
-            {'word': ['天气预报', '说', '今天', '要', '下雨']},
-            {'word': ['下', '一班', '地铁', '马上', '就要', '到', '了']}
-        ])
+        results = self.module.cut(text=self.texts, use_gpu=False, batch_size=1, return_tag=False)
+        self.assertEqual(results, [{
+            'word': ['今天', '是', '个', '好日子']
+        }, {
+            'word': ['天气预报', '说', '今天', '要', '下雨']
+        }, {
+            'word': ['下', '一班', '地铁', '马上', '就要', '到', '了']
+        }])
 
     def test_cut3(self):
-        results = self.module.cut(
-            text=self.texts,
-            use_gpu=False,
-            batch_size=2,
-            return_tag=False
-        )
-        self.assertEqual(results, [
-            {'word': ['今天', '是', '个', '好日子']},
-            {'word': ['天气预报', '说', '今天', '要', '下雨']},
-            {'word': ['下', '一班', '地铁', '马上', '就要', '到', '了']}
-        ])
+        results = self.module.cut(text=self.texts, use_gpu=False, batch_size=2, return_tag=False)
+        self.assertEqual(results, [{
+            'word': ['今天', '是', '个', '好日子']
+        }, {
+            'word': ['天气预报', '说', '今天', '要', '下雨']
+        }, {
+            'word': ['下', '一班', '地铁', '马上', '就要', '到', '了']
+        }])
 
     def test_cut4(self):
-        results = self.module.cut(
-            text=self.texts,
-            use_gpu=True,
-            batch_size=2,
-            return_tag=False
-        )
-        self.assertEqual(results, [
-            {'word': ['今天', '是', '个', '好日子']},
-            {'word': ['天气预报', '说', '今天', '要', '下雨']},
-            {'word': ['下', '一班', '地铁', '马上', '就要', '到', '了']}
-        ])
+        results = self.module.cut(text=self.texts, use_gpu=True, batch_size=2, return_tag=False)
+        self.assertEqual(results, [{
+            'word': ['今天', '是', '个', '好日子']
+        }, {
+            'word': ['天气预报', '说', '今天', '要', '下雨']
+        }, {
+            'word': ['下', '一班', '地铁', '马上', '就要', '到', '了']
+        }])
 
     def test_cut5(self):
-        results = self.module.cut(
-            text=self.texts,
-            use_gpu=True,
-            batch_size=2,
-            return_tag=True
-        )
-        self.assertEqual(results, [
-            {
-                'word': ['今天', '是', '个', '好日子'],
-                'tag': ['TIME', 'v', 'q', 'n']
-            },
-            {
-                'word': ['天气预报', '说', '今天', '要', '下雨'],
-                'tag': ['n', 'v', 'TIME', 'v', 'v']
-            },
-            {
-                'word': ['下', '一班', '地铁', '马上', '就要', '到', '了'],
-                'tag': ['f', 'm', 'n', 'd', 'v', 'v', 'xc']
-            }
-        ])
+        results = self.module.cut(text=self.texts, use_gpu=True, batch_size=2, return_tag=True)
+        self.assertEqual(results, [{
+            'word': ['今天', '是', '个', '好日子'],
+            'tag': ['TIME', 'v', 'q', 'n']
+        }, {
+            'word': ['天气预报', '说', '今天', '要', '下雨'],
+            'tag': ['n', 'v', 'TIME', 'v', 'v']
+        }, {
+            'word': ['下', '一班', '地铁', '马上', '就要', '到', '了'],
+            'tag': ['f', 'm', 'n', 'd', 'v', 'v', 'xc']
+        }])
 
     def test_save_inference_model(self):
         self.module.save_inference_model('./inference/model')