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[v1.0.0] Boost version
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README-zh.md

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@@ -65,6 +65,10 @@ conda activate dataflow
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pip install open-dataflow
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```
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如果你想要用你自己的GPU完成本地推理,则需要:
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```shell
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pip install open-dataflow[vllm]
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```
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> Dataflow 支持 Python>=3.10 的环境
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你可以用如下指令查看dataflow是否正确安装:
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如果安装正确,应该会看到:
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```log
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open-dataflow codebase version: 0.0.2
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open-dataflow codebase version: 1.0.0
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Checking for updates...
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Local version: 0.0.2
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PyPI newest version: 0.0.2
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You are using the latest version: 0.0.2.
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Local version: 1.0.0
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PyPI newest version: 1.0.0
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You are using the latest version: 1.0.0.
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```
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更多使用说明和入门指南,请参考我们的 [项目文档](https://OpenDCAI.github.io/DataFlow-Doc/)

README.md

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pip install open-dataflow
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```
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If you want to use your own GPU to inference locally, please use:
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```shell
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pip install open-dataflow[vllm]
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```
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> Dataflow supports Python>=3.10
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You can use follwing command to check if installed correctly:
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You are expected to see following outputs:
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```log
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open-dataflow codebase version: 0.0.2
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open-dataflow codebase version: 1.0.0
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Checking for updates...
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Local version: 0.0.2
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PyPI newest version: 0.0.2
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You are using the latest version: 0.0.2.
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Local version: 1.0.0
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PyPI newest version: 1.0.0
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You are using the latest version: 1.0.0.
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```
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For **Quick-Start** and **Guide**, please visit our [Documentation](https://OpenDCAI.github.io/DataFlow-Doc/).

dataflow/version.py

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__version__ = '0.0.3'
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__version__ = '1.0.0'
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short_version = __version__
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def parse_version_info(version_str):

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