支持免安装直接浏览器运行 https://play.hanlp.ml/run/pyhanlp

README.md

@@ -1,17 +1,15 @@
 # pyhanlp: Python interfaces for HanLP1.x
 
-![pypi](https://img.shields.io/pypi/v/pyhanlp) [![Downloads](https://pepy.tech/badge/pyhanlp)](https://pepy.tech/project/pyhanlp) [![GitHub license](https://img.shields.io/github/license/hankcs/pyhanlp)](https://github.com/hankcs/pyhanlp/blob/master/LICENSE) [![Run Jupyter](https://img.shields.io/badge/Run-Jupyter-orange?style=flat&logo=Jupyter)](https://play.hanlp.ml/run/pyhanlp)
+![pypi](https://img.shields.io/pypi/v/pyhanlp) [![Downloads](https://pepy.tech/badge/pyhanlp)](https://pepy.tech/project/pyhanlp) [![GitHub license](https://img.shields.io/github/license/hankcs/pyhanlp)](https://github.com/hankcs/pyhanlp/blob/master/LICENSE) [![Run Jupyter](https://img.shields.io/badge/Run-Jupyter-orange?style=flat&logo=Jupyter)](https://play.hanlp.ml/run/pyhanlp) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/hankcs/pyhanlp.git/master?filepath=tests%2Fbook%2Findex.ipynb)
 
-[HanLP1.x](https://github.com/hankcs/HanLP/tree/1.x)的Python接口，支持自动下载与升级[HanLP1.x](https://github.com/hankcs/HanLP/tree/1.x)，兼容py2、py3。内部算法经过工业界和学术界考验，配套书籍[《自然语言处理入门》](http://nlp.hankcs.com/book.php)已经出版，欢迎查阅[随书代码](https://github.com/hankcs/pyhanlp/tree/master/tests/book)。基于深度学习的[HanLP2.x](https://github.com/hankcs/HanLP/tree/doc-zh)已于2020年初发布，次世代最先进的多语种NLP技术，与1.x相辅相成，平行发展。
+[HanLP1.x](https://github.com/hankcs/HanLP/tree/1.x)的Python接口，支持自动下载与升级[HanLP1.x](https://github.com/hankcs/HanLP/tree/1.x)，兼容py2、py3。内部算法经过工业界和学术界考验，配套书籍[《自然语言处理入门》](http://nlp.hankcs.com/book.php)已经出版，欢迎查阅[随书代码](https://github.com/hankcs/pyhanlp/tree/master/tests/book)或点击[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/hankcs/pyhanlp.git/master?filepath=tests%2Fbook%2Findex.ipynb)在线运行。基于深度学习的[HanLP2.x](https://github.com/hankcs/HanLP/tree/doc-zh)已于2020年初发布，次世代最先进的多语种NLP技术，与1.x相辅相成，平行发展。
 
 ## 安装
 
-**非IT人士**可直接使用[傻瓜虚拟机](https://od.hankcs.com/book/intro_nlp/%E5%82%BB%E7%93%9C%E8%99%9A%E6%8B%9F%E6%9C%BA/)；**新手**建议观看[安装教程（附安装包）](https://od.hankcs.com/book/intro_nlp/%E5%AE%89%E8%A3%85%E5%8C%85/)；**工程师**请：
-
-先安装[JDK](http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html)和[Python<=3.8](https://docs.conda.io/en/latest/miniconda.html)。要求JDK、操作系统和Python位数一致。然后[设置JAVA_HOME环境变量](https://bbs.hankcs.com/t/hanlp-java/999)，最后执行：
+**懒人**请点击[![Run Jupyter](https://img.shields.io/badge/Run-Jupyter-orange?style=flat&logo=Jupyter)](https://play.hanlp.ml/run/pyhanlp)；**非IT人士**可直接使用[傻瓜虚拟机](https://od.hankcs.com/book/intro_nlp/%E5%82%BB%E7%93%9C%E8%99%9A%E6%8B%9F%E6%9C%BA/)；**工程师**请先安装[conda](https://docs.conda.io/en/latest/miniconda.html)，然后执行：
 
 ```bash
-conda install -c conda-forge jpype1==0.7.0      # (可选)conda安装jpype1更方便
+conda install -c conda-forge openjdk python=3.8 jpype1=0.7.0 -y
 pip install pyhanlp
 ```
 

environment.yml

@@ -1,4 +1,4 @@
-name: pyhanlp-environment
+name: pyhanlp-env
 channels:
   - conda-forge
 dependencies:
@@ -7,6 +7,7 @@ dependencies:
   - openjdk
   - jpype1==0.7.0
   - python<3.9
+  - pip
   - pip:
       - sklearn
-      - git+https://github.com/hankcs/pyhanlp.git@master
+      - pyhanlp