[to #42362425] fix audio_requirement and refine quickstart, changelog doc

* make audio requirements optional
 * add changelog for version v0.2
 * add numpy constraint for compatibility with tensorflow1.15
 * update faq
 * fix nlp requiring tensorflow
 * add torchvision to multimodal dependency
 * bump version from 0.2.1 to 0.2.2
 * add warning msg when tensorflow is not installed
 
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9268278

docs/source/api/modelscope.pipelines.rst

@@ -1,21 +1,6 @@
 modelscope.pipelines package
 ============================
 
-.. automodule:: modelscope.pipelines
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-Subpackages
------------
-
-.. toctree::
-   :maxdepth: 4
-
-   modelscope.pipelines.audio
-   modelscope.pipelines.cv
-   modelscope.pipelines.multi_modal
-   modelscope.pipelines.nlp
 
 Submodules
 ----------
@@ -25,8 +10,6 @@ modelscope.pipelines.base module
 
 .. automodule:: modelscope.pipelines.base
    :members:
-   :undoc-members:
-   :show-inheritance:
 
 modelscope.pipelines.builder module
 -----------------------------------

docs/source/change_log.md

@@ -1,3 +1,60 @@
+## v 0.2.2 (05/07/2022)
+Second internal release.
+
+### Highlights
+
+### Algorithms
+#### CV
+* add cv-person-image-cartoon pipeline
+* add action recognition pipeline
+* add ocr detection pipeline
+* add animal recognition model
+* add cmdssl video embedding extraction pipeline
+
+#### NLP
+* add speech AEC pipeline
+* add palm2.0
+* add space model
+* add MPLUG model
+* add dialog_intent, dialog_modeling, dialog state tracking pipleline
+* add maskedlm model and fill_mask pipeline
+* add nli pipeline
+* add sentence similarity pipeline
+* add sentiment_classification pipeline
+* add text generation pipeline
+* add translation pipeline
+* add chinese word segmentation pipeline
+* add zero-shot classification
+
+#### Audio
+* add tts pipeline
+* add kws kwsbp pipline
+* add linear aec pipeline
+* add ans pipeline
+
+#### Multi-Modal
+* add image captioning pipeline
+* add multi-modal feature extraction pipeline
+* add text to image synthesis pipeline
+* add VQA pipeline
+
+### Framework
+* add msdataset interface
+* add hub interface and cache support
+* support multiple models in single pipeline
+* add default model configuration for each pipeline
+* remove task field image and video, using cv instead
+* dockerfile support
+* multi-level tests support
+* sphinx-docs use book theme
+* formalize the output of pipeline and make pipeline reusable
+* pipeline refactor and standardize module_name
+* self-host repo support
+
+### Bug Fix
+* support kwargs in pipeline
+* fix errors in task name definition
+
 ## v 0.1.0 (20/05/2022)
 
 First internal release for pipeline inference

docs/source/faq.md

@@ -41,3 +41,8 @@ reference: [https://huggingface.co/docs/tokenizers/installation#installation-fro
 ```shell
 pip install -f https://download.pytorch.org/whl/torch_stable.html -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt
 ```
+### 4. zsh: no matches found: model_scope-0.2.2-py3-none-any.whl[all]
+mac终端的zsh 对于[]需要做转义，执行如下命令
+```shell
+pip install model_scope\[all\] -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+```

docs/source/index.rst

@@ -29,15 +29,15 @@ ModelScope doc
 
    change_log.md
 
-.. toctree::
-   :maxdepth: 10
-   :caption: API Doc
+.. .. toctree::
+..    :maxdepth: 10
+..    :caption: API Doc
 
-   api/modelscope.preprocessors
-   api/modelscope.models
-   api/modelscope.pipelines
-   api/modelscope.fileio
-   api/modelscope.utils
+..    api/modelscope.preprocessors
+..    api/modelscope.models
+..    api/modelscope.pipelines
+..    api/modelscope.fileio
+..    api/modelscope.utils
 
 
 Indices and tables

docs/source/quick_start.md

@@ -1,6 +1,8 @@
 # 快速开始
-ModelScope Library目前支持tensorflow，pytorch深度学习框架进行模型训练、推理， 在Python 3.7+, Pytorch 1.8+, Tensorflow1.15+，Tensorflow 2.6上测试可运行。
-注： 当前（630）版本仅支持python3.7 以及linux环境，其他环境(mac,windows等)支持预计730完成。
+ModelScope Library目前支持tensorflow，pytorch深度学习框架进行模型训练、推理， 在Python 3.7+, Pytorch 1.8+, Tensorflow1.13-1.15，Tensorflow 2.x上测试可运行。
+
+注： 当前（630）版本 `语音相关`的功能仅支持 python3.7,tensorflow1.13-1.15的`linux`环境使用。  其他功能可以在windows、mac上安装使用。
+
 ## python环境配置
 首先，参考[文档](https://docs.anaconda.com/anaconda/install/) 安装配置Anaconda环境
 
@@ -25,7 +27,12 @@ pip install --upgrade tensorflow
 ### pip安装
 执行如下命令：
 ```shell
-pip install model_scope[all] -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/0.2/repo.html
+pip install "model_scope[all]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
+```
+
+如需体验`语音功能`，请`额外`执行如下命令：
+```shell
+pip install "model_scope[audio]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
 ```
 ### 使用源码安装
 适合本地开发调试使用，修改源码后可以直接执行
@@ -38,9 +45,16 @@ cd modelscope
 ```
 安装依赖并设置PYTHONPATH
 ```shell
-pip install -r requirements.txt
+pip install -e ".[all]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
 export PYTHONPATH=`pwd`
 ```
+注： 6.30版本需要把cv、nlp、multi-modal领域依赖都装上，7.30号各个领域依赖会作为选装，用户需要使用哪个领域安装对应领域依赖即可。
+
+如需使用语音功能，请执行如下命令安装语音功能所需依赖
+```shell
+pip install -e ".[audio]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo
+```
+
 ### 安装验证
 安装成功后，可以执行如下命令进行验证安装是否正确
 ```shell