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### What problem does this PR solve? feat: translate graph #918 ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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@ -565,6 +565,8 @@ The above is the content you need to summarize.`,
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componentId: 'component id',
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add: 'Add',
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operation: 'operation',
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run: 'Run',
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save: 'Save',
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beginDescription: 'This is where the flow begin',
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answerDescription: `This component is used as an interface between bot and human. It receives input of user and display the result of the computation of the bot.`,
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retrievalDescription: `This component is for the process of retrieving relevent information from knowledge base. So, knowledgebases should be selected. If there's nothing retrieved, the 'Empty response' will be returned.`,
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@ -518,6 +518,28 @@ export default {
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messageMsg: '請輸入訊息或刪除此欄位。',
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addField: '新增字段',
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loop: '環',
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createFlow: '创建工作流',
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yes: '是',
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no: '否',
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key: 'key',
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componentId: '組件id',
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add: '新增',
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operation: '操作',
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run: '運行',
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save: '儲存',
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beginDescription: '這是流程開始的地方',
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answerDescription: `該組件用作機器人與人類之間的介面。它接收使用者的輸入並顯示機器人的計算結果。`,
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retrievalDescription: `此元件用於從知識庫中檢索相關資訊。選擇知識庫。如果沒有檢索到任何內容,將傳回「空響應」。`,
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generateDescription: `此元件用於呼叫LLM生成文本,請注意提示的設定。`,
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categorizeDescription: `此組件用於對文字進行分類。請指定類別的名稱、描述和範例。每個類別都指向不同的下游組件。`,
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relevantDescription: `此元件用來判斷upstream的輸出是否與使用者最新的問題相關,『是』代表相關,『否』代表不相關。`,
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rewriteQuestionDescription: `此元件用於細化使用者的提問。通常,當使用者的原始提問無法從知識庫中檢索相關資訊時,此元件可協助您將問題變更為更符合知識庫表達方式的適當問題。只有「檢索」可作為其下游。`,
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messageDescription:
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'此元件用於向使用者發送靜態訊息。您可以準備幾條訊息,這些訊息將隨機選擇。',
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keywordDescription: `該組件用於從用戶的問題中提取關鍵字。 Top N指定需要提取的關鍵字數量。`,
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promptText: `請總結以下段落。注意數字,不要胡編亂造。段落如下:
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{input}
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以上就是你需要總結的內容。`,
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},
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footer: {
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profile: '“保留所有權利 @ react”',
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@ -526,7 +526,7 @@ export default {
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flow: {
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flow: '工作流',
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cite: '引用',
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citeTip: 'citeTip',
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citeTip: '引用',
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name: '名称',
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nameMessage: '请输入名称',
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description: '描述',
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@ -537,27 +537,28 @@ export default {
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messageMsg: '请输入消息或删除此字段。',
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addField: '新增字段',
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loop: '环',
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createFlow: 'Create a workflow',
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yes: 'Yes',
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no: 'No',
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createFlow: '创建工作流',
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yes: '是',
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no: '否',
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key: 'key',
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componentId: 'component id',
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add: 'Add',
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operation: 'operation',
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beginDescription: 'This is where the flow begin',
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answerDescription: `This component is used as an interface between bot and human. It receives input of user and display the result of the computation of the bot.`,
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retrievalDescription: `This component is for the process of retrieving relevent information from knowledge base. So, knowledgebases should be selected. If there's nothing retrieved, the 'Empty response' will be returned.`,
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generateDescription: `This component is used to call LLM to generate text. Be careful about the prompt setting.`,
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categorizeDescription: `This component is used to categorize text. Please specify the name, description and examples of the category. Every single category leads to different downstream components.`,
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relevantDescription: `This component is used to judge if the output of upstream is relevent to user's latest question. 'Yes' represents that they're relevant. 'No' represents they're irrelevant.`,
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rewriteQuestionDescription: `This component is used to refine user's quesion. Typically, when a user's original question can't retrieve relevant information from knowledge base, this component help you change the question into a proper one which might be more consistant with the expressions in knowledge base. Only 'Retrieval' can be its downstreams.`,
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componentId: '组件id',
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add: '新增',
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operation: '操作',
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run: '运行',
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save: '保存',
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beginDescription: '这是流程开始的地方',
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answerDescription: `该组件用作机器人与人类之间的接口。它接收用户的输入并显示机器人的计算结果。`,
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retrievalDescription: `此组件用于从知识库中检索相关信息。选择知识库。如果没有检索到任何内容,将返回“空响应”。`,
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generateDescription: `此组件用于调用LLM生成文本,请注意提示的设置。`,
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categorizeDescription: `此组件用于对文本进行分类。请指定类别的名称、描述和示例。每个类别都指向不同的下游组件。`,
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relevantDescription: `该组件用来判断upstream的输出是否与用户最新的问题相关,‘是’代表相关,‘否’代表不相关。`,
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rewriteQuestionDescription: `此组件用于细化用户的提问。通常,当用户的原始提问无法从知识库中检索到相关信息时,此组件可帮助您将问题更改为更符合知识库表达方式的适当问题。只有“检索”可作为其下游。`,
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messageDescription:
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'This component is used to send user static information.',
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keywordDescription:
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'This component is used to send user static information.',
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promptText: `Please summarize the following paragraphs. Be careful with the numbers, do not make things up. Paragraphs as following:
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{input}
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The above is the content you need to summarize.`,
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'此组件用于向用户发送静态信息。您可以准备几条消息,这些消息将被随机选择。',
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keywordDescription: `该组件用于从用户的问题中提取关键词。Top N指定需要提取的关键词数量。`,
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promptText: `请总结以下段落。注意数字,不要胡编乱造。段落如下:
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{input}
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以上就是你需要总结的内容。`,
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},
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footer: {
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profile: 'All rights reserved @ React',
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@ -1,10 +1,9 @@
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import { Button, Flex, Space } from 'antd';
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import { useTranslate } from '@/hooks/commonHooks';
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import { useFetchFlow } from '@/hooks/flow-hooks';
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import { ArrowLeftOutlined } from '@ant-design/icons';
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import { Button, Flex, Space } from 'antd';
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import { Link } from 'umi';
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import { useSaveGraph, useSaveGraphBeforeOpeningDebugDrawer } from '../hooks';
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import styles from './index.less';
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interface IProps {
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@ -15,6 +14,7 @@ const FlowHeader = ({ showChatDrawer }: IProps) => {
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const { saveGraph } = useSaveGraph();
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const handleRun = useSaveGraphBeforeOpeningDebugDrawer(showChatDrawer);
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const { data } = useFetchFlow();
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const { t } = useTranslate('flow');
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return (
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<>
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@ -32,10 +32,10 @@ const FlowHeader = ({ showChatDrawer }: IProps) => {
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</Space>
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<Space size={'large'}>
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<Button onClick={handleRun}>
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<b>Run</b>
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<b>{t('run')}</b>
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</Button>
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<Button type="primary" onClick={saveGraph}>
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<b>Save</b>
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<b>{t('save')}</b>
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</Button>
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</Space>
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</Flex>
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