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Home Page: https://cloudorc.github.io/SolidUI-Website/
License: Apache License 2.0
one sentence generates any graph
Home Page: https://cloudorc.github.io/SolidUI-Website/
License: Apache License 2.0
https://web.raykite.com/project/edit/b0d603760fba4434b2d984a15b62542d
4.add a new scene. After clicking, a scene name will be added by default. For example: scene one, scene two...
5.add a new page, after clicking the button, a new page will be added by default, for example: page 1, page 2
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代码:
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文档:
code:
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Documentation:
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https://github.com/CloudOrc/SolidUI-Doc/blob/0.1.0/en_US/Test_Documentation/TestCase/README.md
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1.Project creation
2.Project floating window function, edit/upload/copy/export/delete
1.Project creation
2.Project floating window function, edit/upload/copy/export/delete
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text-to-3D model
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Please submit a comment in this issue,You can refer to the following sample answer:
Thanks again for your participation! Your support is the motivation for us to move forward.
SolidUI community
在此提交一条评论,可以参考下面的示例:
多谢您的支持,您的支持是我们前进的动力!
SolidUI社区
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copilot:summary
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X-Lab 实验室下有两个文档助手 hypertrons-crx支持统计和浏览器ChatGPT插件 ,DocsGPT 开源文档助手,两者是都可以训练文档,最近向hypertrons-crx提issue申请训练SolidUI 文档 。
介绍文章地址:
Hypercrx目前已在两个浏览器插件市场上架:
插件作用域:CloudOrc/SolidUI
登录文档地址https://docsgpt.arc53.com/ ,注册账号,即可查询SolidUI 相关文档
There are two document assistants under X-Lab hypertrons-crx supports statistics and browser ChatGPT plugin , DocsGPT open source document assistant , both of which can be used for training documents, and recently submitted an issue to hypertrons-crx to apply for training SolidUI documents.
Introduction article address:
Hypercrx is currently available on two browser add-on marketplaces:
Plugin scope: CloudOrc/SolidUI
Log in to the document address https://docsgpt.arc53.com/, register an account, and you can query SolidUI related documents
1.Login information
2.Gateway interception
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1.service integration
2.support matrix
3.support configuration
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https://github.com/slackapi/python-slack-sdk
Slack Bot
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The following list is the latest newbie tasks (keep up to date). If you are participating in an open source project for the first time, it is recommended to choose one of the following tasks to practice. The first task is used to familiarize yourself with the submission process and feel the friendliness of the community. If you are interested in a task, Please leave a message, for example, I am interested in implementing this task, please submit a PR in 2 weeks if you leave the message. If more than 2 weeks, other contributors are welcome to do it.
TODO list
In addition to the above tasks, you can also add some Unit Tests to Improve code test coverage
Installation document
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1.The design page displays the project name
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1.DataSource test cases
2.DataSource functional tests
3.DataSource Unit testing
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1.Data source management
2.Adapt to multiple data sources mysql/pg/doris/file
1.Data source management
2.Adapt to multiple data sources mysql/pg/doris/file
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1.Project Support setting initialization canvas width and height
2.width px
3.height px
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This version's theme: The model agent supports multiple outputs, database selection, self-developed models, k8s support, and webpage optimization.
该版本主题:支持自研模型,模型代理支持多种输出,模型代理支持选择数据库,支持k8s,页面优化
Product Prototype:solidui0.3.0.zip
To better support models and agents, facilitate deployment, and enhance user experience, the following features have been implemented:
为了更好的支持模型和代理,部署更加方便,增强用户体验:
Self-developed models / 自研模型
The server provides services
服务端提供服务
Model agent output supports HTML / 模型代理输出支持html
Go to scene -> page, select modelui, choose the output model in the bottom left corner
进入场景-> 页 ,选择modelui , 左下角选择输出模型(modelName + Code)
Model agent input supports database selection / 模型代理输入支持选择数据库
Go to scene -> page, select modelui, there is an icon pop-up window in the bottom right corner, choose the database id, library, table, after clicking the confirm button, append the table's json data in the prompt input box
进入场景-> 页 ,选择modelui , 右下角有个icon弹窗,选择数据库id、库、表,确认按钮后,在提示词输入框追加表的json数据
The specific implementation issues and prototypes mirror each other
具体实现issue和原型互相映照
Self-developed model / 自研模型
According to the second reconstruction of the diffusion, the overall input adapts to the graphic framework
根据 diffusion 二次重构,整体输入适配图形框架
The model proxy output supports HTML / 模型代理输出支持html
Add a code field in the database table solidui_model_type to represent the output type / 数据库表solidui_model_type 增加code字段表示输出类型
Abstract the prompt template in the code to the solidui_model_type table / 把代码中提示词模板抽象到solidui_model_type表中
The model proxy input supports selecting the database / 模型代理输入支持选择数据库
The code already supports querying database id, database, and data table / 代码中已经支持查询数据库id,数据库,数据表
add a format conversion interface to query json format data according to datasourceid, dataname, tablename / 新增查询表json接口
Re-validate the modelui chat window according to the prompt words in the 0.2.0 feature introduction.
按照0.2.0 功能介绍中提示词,重新验证modelui聊天窗口
Use document
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Query parameter list preservation/ parameter list
Driver information could not be saved / driverclasssname
xxx.log:
<!--日志文字贴到这里-->
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Development document
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1.Login test cases
2.Login functional test
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1.3D interface/data structure
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Design document
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https://github.com/Rapptz/discord.py
Discord Bot
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1.Integrate a 3D scene
2.support WebGL
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preview effect
As shown in the picture, you can view left and right according to the scene-page
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1.Project creation
2.Project floating window function, edit/upload/copy/export/delete
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The theme of this version, the project design page supports large model input conversion, text conversion graphics
This version is to support the mature large language model in the community and support text to graphics.
Integrate with the model API through the link and memory functions provided by langchain.
Integrate langchain with big model
Provide selection model function (ChatGLM/GPT3.5/GPT4)
Provide clear context memory function
Provide text conversion graphics, graphics to generate local file functions.
Provides drag and drop to generate graphics into the canvas
User path: login -> click project -> enter the design page -> select canvas -> select model input
architecture design
technical realization
interface documentation
POST /solidui/models/generate
Function: Submit a query to the specified language model.
Request parameters:
modelId : The ID of the language model to use (eg, gpt-3.5, gpt-4, or chatglm).
prompt : prompt.
GET /solidui/models/keys
Function: Returns a list of supported models.
POST /solidui/models/api/path:path
Function: Generate content and send it to the server. For example, if the result is an image, it will be displayed in image form; if it is text, it will be displayed in text form.
{
"code": 0,
"msg": "成功",
"data": [
{
"type": "image/png",
"value": ""
}
],
"success": true,
"failed": false
}
What impact( if any)will there be on existing users?
The user does not need to select a static legend on the design page, and converts the graphics according to the text in the canvas input box
If we are changing behavior, how will we phase out old behavior?
Does not extend old behavior, does not add new preset legends
Do you need special migration tools?
None
When do we remove existing behavior?
No, I think the current method should be preserved and not expanded. If there is a partner to expand, let him raise an issue. The core of the project is to convert text into graphics based on the large model
https://github.com/CloudOrc/SolidUI-Doc/tree/main/en_US/Test_Documentation/TestCase
2023.7.1 ~ 2023.7.8 The model module code is built
2023.7.9 ~ 2023.7.15 Model related interface and joint debugging
2023.7.16 ~ 2023.7.22 The model-related interface has been developed
2023.7.23 ~ 2023.7.29 The model-related interface has been developed
2023.7.30 ~ 2023.8.5 Medium priority feature development
2023.8.6 ~ 2023.8.14 Medium priority feature development
2023.8.15 ~ 2023.8.27 Documentation and Testing
2023.8.28 ~ 2023.8.31 Publishing, operation stage
[{"x":"A","y":5},{"x":"B","y":8},{"x":"C","y":12},{"x":"D","y":6},{"x":"E","y":15},{"x":"F","y":10}]
1.Login information
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Who is using SolidUI ?
Sincerely thank everyone who constantly keeps on using and supporting SolidUI. We will try our best to make SolidUI better and make the community and ecology more prosperous.
The original intention of this issue
We’d like to listen to the community to make SolidUI better.
Learn more about the practical use scenarios of SolidUI to facilitate the next step of planning.
What we expect from you
Please submit a comment in this issue to include the following information:
logo: your company/school/organization logo.
name: your company/school/organization name
website: your company/school/organization website
contact: contact info, e.g: blog, email, Twitter (at least one).
usage Scenario: for what business scenario do you use SolidUI.
衷心感谢所有使用和支持 SolidUI 的人。我们将尽最大努力让SolidUI变得更好,让社区和生态更加繁荣。本issue的初衷:
我们愿意倾听社区的声音,为了让 SolidUI 变得更好, 为了吸引更多的用户和开发者加入。实现让流处理更简单的夙愿, 请您登记使用信息, 包括实际使用场景等更多信息。
我们期望您登记:
logo: 您的 公司/学校/组织 logo
名称: 您的 公司/学校/组织 名称
网站: 您的 公司/学校/组织 官网
联系方式: 如:博客, email, Twitter
使用场景: 您使用SolidUI的业务场景是什么。
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1.Event design
2.Data design: function/sql/python
3.Preview the design
4.Configuration design
5.layout
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2d images generated by DALE*E/stable
https://labs.openai.com/e/xn4rbp4syE3pmnDpO7c5kHkW
https://beta.dreamstudio.ai/generate
Function list
Input text
Switch between different model apis
Save generated text
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zk,master worker This clustering mode
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