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feat(web): 🎨 Unified color theme, AntV light/dark theme switching, Antd first-screen style loading. (#1020)

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Co-authored-by: 黄振洪 <hzh01509324@alibaba-inc.com>
Co-authored-by: Aralhi <xiaoping0501@gmail.com>
This commit is contained in:
Hzh_97
2024-01-12 09:44:52 +08:00
committed by GitHub
parent 2706e27ae5
commit 99ea6ac1a4
99 changed files with 1125 additions and 1410 deletions
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22
web/app/chat-context.tsx
View File

@@ -3,8 +3,12 @@ import { apiInterceptors, getDialogueList, getUsableModels } from '@/client/api'
import { useRequest } from 'ahooks';
import { ChatHistoryResponse, DialogueListResponse, IChatDialogueSchema } from '@/types/chat';
import { useSearchParams } from 'next/navigation';
import { STORAGE_THEME_KEY } from '@/utils';
type ThemeMode = 'dark' | 'light';
interface IChatContext {
mode: ThemeMode;
isContract?: boolean;
isMenuExpand?: boolean;
scene: IChatDialogueSchema['chat_mode'] | (string & {});
@@ -14,6 +18,7 @@ interface IChatContext {
modelList: Array<string>;
agentList: string[];
dialogueList?: DialogueListResponse;
setMode: (mode: ThemeMode) => void;
setAgentList?: (val: string[]) => void;
setModel: (val: string) => void;
setIsContract: (val: boolean) => void;
@@ -28,7 +33,14 @@ interface IChatContext {
setDocId: (docId: number) => void;
}
function getDefaultTheme(): ThemeMode {
const theme = localStorage.getItem(STORAGE_THEME_KEY) as ThemeMode;
if (theme) return theme;
return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light';
}
const ChatContext = createContext<IChatContext>({
mode: 'light',
scene: '',
chatId: '',
modelList: [],
@@ -43,6 +55,7 @@ const ChatContext = createContext<IChatContext>({
setDbParam: () => void 0,
queryDialogueList: () => {},
refreshDialogList: () => {},
setMode: () => void 0,
history: [],
setHistory: () => {},
docId: undefined,
@@ -54,6 +67,7 @@ const ChatContextProvider = ({ children }: { children: React.ReactElement }) =>
const chatId = searchParams?.get('id') ?? '';
const scene = searchParams?.get('scene') ?? '';
const db_param = searchParams?.get('db_param') ?? '';
const [isContract, setIsContract] = useState(false);
const [model, setModel] = useState<string>('');
const [isMenuExpand, setIsMenuExpand] = useState<boolean>(scene !== 'chat_dashboard');
@@ -61,6 +75,7 @@ const ChatContextProvider = ({ children }: { children: React.ReactElement }) =>
const [agentList, setAgentList] = useState<string[]>([]);
const [history, setHistory] = useState<ChatHistoryResponse>([]);
const [docId, setDocId] = useState<number>();
const [mode, setMode] = useState<ThemeMode>();
const {
run: queryDialogueList,
@@ -80,6 +95,11 @@ const ChatContextProvider = ({ children }: { children: React.ReactElement }) =>
const [, res] = await apiInterceptors(getUsableModels());
return res ?? [];
});
useEffect(() => {
setMode(getDefaultTheme());
}, []);
useEffect(() => {
setModel(modelList[0]);
}, [modelList, modelList?.length]);
@@ -95,6 +115,8 @@ const ChatContextProvider = ({ children }: { children: React.ReactElement }) =>
dbParam: dbParam || db_param,
dialogueList,
agentList,
mode,
setMode,
setAgentList,
setModel,
setIsContract,

743
web/app/i18n.ts
View File

@@ -1,377 +1,390 @@
import i18n from 'i18next';
import { initReactI18next } from 'react-i18next';
const resources = {
en: {
translation: {
Knowledge_Space: 'Knowledge',
space: 'space',
Vector: 'Vector',
Owner: 'Owner',
Count: 'Count',
File_type_Invalid: 'The file type is invalid',
Knowledge_Space_Config: 'Space Config',
Choose_a_Datasource_type: 'Datasource type',
Segmentation: 'Segmentation',
No_parameter: `No segementation parameter required.`,
Knowledge_Space_Name: 'Knowledge Space Name',
Please_input_the_name: 'Please input the name',
Please_input_the_owner: 'Please input the owner',
Please_select_file: 'Please select one file',
Description: 'Description',
Please_input_the_description: 'Please input the description',
Next: 'Next',
the_name_can_only_contain: 'the name can only contain numbers, letters, Chinese characters, "-" and "_"',
Text: 'Text',
'Fill your raw text': 'Fill your raw text',
URL: 'URL',
Fetch_the_content_of_a_URL: 'Fetch the content of a URL',
Document: 'Document',
Upload_a_document: 'Upload a document, document type can be PDF, CSV, Text, PowerPoint, Word, Markdown',
Name: 'Name',
Text_Source: 'Text Source(Optional)',
Please_input_the_text_source: 'Please input the text source',
Sync: 'Sync',
Back: 'Back',
Finish: 'Finish',
Web_Page_URL: 'Web Page URL',
Please_input_the_Web_Page_URL: 'Please input the Web Page URL',
Select_or_Drop_file: 'Select or Drop file',
Documents: 'Documents',
Chat: 'Chat',
Add_Datasource: 'Add Datasource',
Arguments: 'Arguments',
Type: 'Type',
Size: 'Size',
Last_Sync: 'Last Sync',
Status: 'Status',
Result: 'Result',
Details: 'Details',
Delete: 'Delete',
Operation: 'Operation',
Submit: 'Submit',
Chunks: 'Chunks',
Content: 'Content',
Meta_Data: 'Meta Data',
Please_select_a_file: 'Please select a file',
Please_input_the_text: 'Please input the text',
Embedding: 'Embedding',
topk: 'topk',
the_top_k_vectors: 'the top k vectors based on similarity score',
recall_score: 'recall_score',
Set_a_threshold_score: 'Set a threshold score for the retrieval of similar vectors',
recall_type: 'recall_type',
model: 'model',
A_model_used: 'A model used to create vector representations of text or other data',
Automatic: 'Automatic',
Process: 'Process',
Automatic_desc: 'Automatically set segmentation and preprocessing rules.',
chunk_size: 'chunk_size',
The_size_of_the_data_chunks: 'The size of the data chunks used in processing',
chunk_overlap: 'chunk_overlap',
The_amount_of_overlap: 'The amount of overlap between adjacent data chunks',
Prompt: 'Prompt',
scene: 'scene',
A_contextual_parameter: 'A contextual parameter used to define the setting or environment in which the prompt is being used',
template: 'template',
structure_or_format:
'A pre-defined structure or format for the prompt, which can help ensure that the AI system generates responses that are consistent with the desired style or tone.',
max_token: 'max_token',
max_iteration: 'max_iteration',
concurrency_limit: 'concurrency_limit',
The_maximum_number_of_tokens: 'The maximum number of tokens or words allowed in a prompt',
Theme: 'Theme',
Port: 'Port',
Username: 'Username',
Password: 'Password',
Remark: 'Remark',
Edit: 'Edit',
Database: 'Database',
Data_Source: 'Data Center',
Close_Sidebar: 'Fold',
Show_Sidebar: 'UnFold',
language: 'Language',
choose_model: 'Please choose a model',
data_center_desc: 'DB-GPT also offers a user-friendly data center management interface for efficient data maintenance.',
create_database: 'Create Database',
create_knowledge: 'Create Knowledge',
path: 'Path',
model_manage: 'Models',
stop_model_success: 'Stop model success',
create_model: 'Create Model',
model_select_tips: 'Please select a model',
submit: 'Submit',
close: 'Close',
start_model_success: 'Start model success',
download_model_tip: 'Please download model first.',
Plugins: 'Plugins',
try_again: 'Try again',
no_data: 'No data',
Open_Sidebar: 'Unfold',
cancel: 'Cancel',
Edit_Success: 'Edit Success',
Add: 'Add',
Add_Success: 'Add Success',
Error_Message: 'Something Error',
Please_Input: 'Please Input',
Prompt_Info_Scene: 'Scene',
Prompt_Info_Sub_Scene: 'Sub Scene',
Prompt_Info_Name: 'Name',
Prompt_Info_Content: 'Content',
Public: 'Public',
Private: 'Private',
Lowest: 'Lowest',
Missed: 'Missed',
Lost: 'Lost',
Incorrect: 'Incorrect',
Verbose: 'Verbose',
Best: 'Best',
Rating: 'Rating',
Q_A_Category: 'Q&A Category',
Q_A_Rating: 'Q&A Rating',
feed_back_desc:
'0: No results\n' +
'1: Results exist, but they are irrelevant, the question is not understood\n' +
'2: Results exist, the question is understood, but it indicates that the question cannot be answered\n' +
'3: Results exist, the question is understood, and an answer is given, but the answer is incorrect\n' +
'4: Results exist, the question is understood, the answer is correct, but it is verbose and lacks a summary\n' +
'5: Results exist, the question is understood, the answer is correct, the reasoning is correct, and a summary is provided, concise and to the point\n',
input_count: 'Total input',
input_unit: 'characters',
Copy: 'Copy',
Copy_success: 'Content copied successfully',
Copy_nothing: 'Content copied is empty',
Copry_error: 'Copy failed',
Click_Select: 'Click&Select',
Quick_Start: 'Quick Start',
Select_Plugins: 'Select Plugins',
Search: 'Search',
Update_From_Github: 'Upload From Github',
Reset: 'Reset',
Upload: 'Upload',
Market_Plugins: 'Market Plugin',
My_Plugins: 'My Plugins',
Del_Knowledge_Tips: 'Do you want delete the Space',
Del_Document_Tips: 'Do you want delete the Document',
Tips: 'Tips',
Limit_Upload_File_Count_Tips: 'Only one file can be uploaded at a time',
To_Plugin_Market: 'Go to the Plugin Market',
Summary: 'Summary',
stacked_column_chart: 'Stacked Column',
column_chart: 'Column',
percent_stacked_column_chart: 'Percent Stacked Column',
grouped_column_chart: 'Grouped Column',
time_column: 'Time Column',
pie_chart: 'Pie',
line_chart: 'Line',
area_chart: 'Area',
stacked_area_chart: 'Stacked Area',
scatter_plot: 'Scatter',
bubble_chart: 'Bubble',
stacked_bar_chart: 'Stacked Bar',
bar_chart: 'Bar',
percent_stacked_bar_chart: 'Percent Stacked Bar',
grouped_bar_chart: 'Grouped Bar',
water_fall_chart: 'Waterfall',
table: 'Table',
multi_line_chart: 'Multi Line',
multi_measure_column_chart: 'Multi Measure Column',
multi_measure_line_chart: 'Multi Measure Line',
Advices: 'Advices',
Retry: 'Retry',
Load_more: 'load more',
},
},
zh: {
translation: {
Knowledge_Space: '知识库',
space: '知识库',
Vector: '向量',
Owner: '创建人',
Count: '文档数',
File_type_Invalid: '文件类型错误',
Knowledge_Space_Config: '知识库配置',
Choose_a_Datasource_type: '知识库类型',
Segmentation: '分片',
No_parameter: '不需要配置分片参数',
Setup_the_Datasource: '处理',
Knowledge_Space_Name: '知识库名称',
Please_input_the_name: '请输入名称',
Please_input_the_owner: '请输入创建人',
Please_select_file: '请至少选择一个文件',
Description: '描述',
Please_input_the_description: '请输入描述',
Next: '下一步',
the_name_can_only_contain: '名称只能包含数字、字母、中文字符、-或_',
Text: '文本',
'Fill your raw text': '填写您的原始文本',
URL: '网址',
Fetch_the_content_of_a_URL: '获取 URL 的内容',
Document: '文档',
Upload_a_document: '上传文档，文档类型可以是PDF、CSV、Text、PowerPoint、Word、Markdown',
Name: '名称',
Text_Source: '文本来源（可选）',
Please_input_the_text_source: '请输入文本来源',
Sync: '同步',
Back: '上一步',
Finish: '完成',
Web_Page_URL: '网页网址',
Please_input_the_Web_Page_URL: '请输入网页网址',
Select_or_Drop_file: '选择或拖拽文件',
Documents: '文档',
Chat: '对话',
Add_Datasource: '添加数据源',
Arguments: '参数',
Type: '类型',
Size: '切片',
Last_Sync: '上次同步时间',
Status: '状态',
Result: '结果',
Details: '明细',
Delete: '删除',
Operation: '操作',
Submit: '提交',
close: '关闭',
Chunks: '切片',
Content: '内容',
Meta_Data: '元数据',
Please_select_a_file: '请上传一个文件',
Please_input_the_text: '请输入文本',
Embedding: '嵌入',
topk: 'TopK',
the_top_k_vectors: '基于相似度得分的前 k 个向量',
recall_score: '召回分数',
Set_a_threshold_score: '设置相似向量检索的阈值分数',
recall_type: '召回类型',
model: '模型',
A_model_used: '用于创建文本或其他数据的矢量表示的模型',
Automatic: '自动切片',
Process: '切片处理',
Automatic_desc: '自动设置分割和预处理规则。',
chunk_size: '块大小',
The_size_of_the_data_chunks: '处理中使用的数据块的大小',
chunk_overlap: '块重叠',
The_amount_of_overlap: '相邻数据块之间的重叠量',
scene: '场景',
A_contextual_parameter: '用于定义使用提示的设置或环境的上下文参数',
template: '模板',
structure_or_format: '预定义的提示结构或格式，有助于确保人工智能系统生成与所需风格或语气一致的响应。',
max_token: '最大令牌',
max_iteration: '最大迭代',
concurrency_limit: '并发限制',
The_maximum_number_of_tokens: '提示中允许的最大标记或单词数',
Theme: '主题',
Port: '端口',
Username: '用户名',
Password: '密码',
Remark: '备注',
Edit: '编辑',
Database: '数据库',
Data_Source: '数据中心',
Close_Sidebar: '收起',
Show_Sidebar: '展开',
language: '语言',
choose_model: '请选择一个模型',
data_center_desc: 'DB-GPT支持数据库交互和基于文档的对话，它还提供了一个用户友好的数据中心管理界面。',
create_database: '创建数据库',
create_knowledge: '创建知识库',
path: '路径',
model_manage: '模型管理',
stop_model_success: '模型停止成功',
create_model: '创建模型',
model_select_tips: '请选择一个模型',
submit: '提交',
start_model_success: '启动模型成功',
download_model_tip: '请先下载模型！',
Plugins: '插件列表',
try_again: '刷新重试',
no_data: '暂无数据',
Prompt: '提示语',
Open_Sidebar: '展开',
cancel: '取消',
Edit_Success: '编辑成功',
Add: '新增',
Add_Success: '新增成功',
Error_Message: '出错了',
Please_Input: '请输入',
Prompt_Info_Scene: '场景',
Prompt_Info_Sub_Scene: '次级场景',
Prompt_Info_Name: '名称',
Prompt_Info_Content: '内容',
Public: '公共',
Private: '私有',
Lowest: '渣渣',
Missed: '没理解',
Lost: '答不了',
Incorrect: '答错了',
Verbose: '较啰嗦',
Best: '真棒',
Rating: '评分',
Q_A_Category: '问答类别',
Q_A_Rating: '问答评分',
feed_back_desc:
'0: 无结果\n' +
'1: 有结果，但是在文不对题，没有理解问题\n' +
'2: 有结果，理解了问题，但是提示回答不了这个问题\n' +
'3: 有结果，理解了问题，并做出回答，但是回答的结果错误\n' +
'4: 有结果，理解了问题，回答结果正确，但是比较啰嗦，缺乏总结\n' +
'5: 有结果，理解了问题，回答结果正确，推理正确，并给出了总结，言简意赅\n',
input_count: '共计输入',
input_unit: '字',
Copy: '复制',
Copy_success: '内容复制成功',
Copy_nothing: '内容复制为空',
Copry_error: '复制失败',
Click_Select: '点击选择',
Quick_Start: '快速开始',
Select_Plugins: '选择插件',
Search: '搜索',
Reset: '重置',
Update_From_Github: '更新Github插件',
Upload: '上传',
Market_Plugins: '插件市场',
My_Plugins: '我的插件',
Del_Knowledge_Tips: '你确定删除该知识库吗',
Del_Document_Tips: '你确定删除该文档吗',
Tips: '提示',
Limit_Upload_File_Count_Tips: '一次只能上传一个文件',
To_Plugin_Market: '前往插件市场',
Summary: '总结',
stacked_column_chart: '堆叠柱状图',
column_chart: '柱状图',
percent_stacked_column_chart: '百分比堆叠柱状图',
grouped_column_chart: '簇形柱状图',
time_column: '簇形柱状图',
pie_chart: '饼图',
line_chart: '折线图',
area_chart: '面积图',
stacked_area_chart: '堆叠面积图',
scatter_plot: '散点图',
bubble_chart: '气泡图',
stacked_bar_chart: '堆叠条形图',
bar_chart: '条形图',
percent_stacked_bar_chart: '百分比堆叠条形图',
grouped_bar_chart: '簇形条形图',
water_fall_chart: '瀑布图',
table: '表格',
multi_line_chart: '多折线图',
multi_measure_column_chart: '多指标柱形图',
multi_measure_line_chart: '多指标折线图',
Advices: '自动推荐',
Retry: '重试',
Load_more: '加载更多',
},
},
};
const en = {
Knowledge_Space: 'Knowledge',
space: 'space',
Vector: 'Vector',
Owner: 'Owner',
Count: 'Count',
File_type_Invalid: 'The file type is invalid',
Knowledge_Space_Config: 'Space Config',
Choose_a_Datasource_type: 'Datasource type',
Segmentation: 'Segmentation',
No_parameter: `No segementation parameter required.`,
Knowledge_Space_Name: 'Knowledge Space Name',
Please_input_the_name: 'Please input the name',
Please_input_the_owner: 'Please input the owner',
Please_select_file: 'Please select one file',
Description: 'Description',
Please_input_the_description: 'Please input the description',
Next: 'Next',
the_name_can_only_contain: 'the name can only contain numbers, letters, Chinese characters, "-" and "_"',
Text: 'Text',
'Fill your raw text': 'Fill your raw text',
URL: 'URL',
Fetch_the_content_of_a_URL: 'Fetch the content of a URL',
Document: 'Document',
Upload_a_document: 'Upload a document, document type can be PDF, CSV, Text, PowerPoint, Word, Markdown',
Name: 'Name',
Text_Source: 'Text Source(Optional)',
Please_input_the_text_source: 'Please input the text source',
Sync: 'Sync',
Back: 'Back',
Finish: 'Finish',
Web_Page_URL: 'Web Page URL',
Please_input_the_Web_Page_URL: 'Please input the Web Page URL',
Select_or_Drop_file: 'Select or Drop file',
Documents: 'Documents',
Chat: 'Chat',
Add_Datasource: 'Add Datasource',
Arguments: 'Arguments',
Type: 'Type',
Size: 'Size',
Last_Sync: 'Last Sync',
Status: 'Status',
Result: 'Result',
Details: 'Details',
Delete: 'Delete',
Operation: 'Operation',
Submit: 'Submit',
Chunks: 'Chunks',
Content: 'Content',
Meta_Data: 'Meta Data',
Please_select_a_file: 'Please select a file',
Please_input_the_text: 'Please input the text',
Embedding: 'Embedding',
topk: 'topk',
the_top_k_vectors: 'the top k vectors based on similarity score',
recall_score: 'recall_score',
Set_a_threshold_score: 'Set a threshold score for the retrieval of similar vectors',
recall_type: 'recall_type',
model: 'model',
A_model_used: 'A model used to create vector representations of text or other data',
Automatic: 'Automatic',
Process: 'Process',
Automatic_desc: 'Automatically set segmentation and preprocessing rules.',
chunk_size: 'chunk_size',
The_size_of_the_data_chunks: 'The size of the data chunks used in processing',
chunk_overlap: 'chunk_overlap',
The_amount_of_overlap: 'The amount of overlap between adjacent data chunks',
Prompt: 'Prompt',
scene: 'scene',
A_contextual_parameter: 'A contextual parameter used to define the setting or environment in which the prompt is being used',
template: 'template',
structure_or_format:
'A pre-defined structure or format for the prompt, which can help ensure that the AI system generates responses that are consistent with the desired style or tone.',
max_token: 'max_token',
max_iteration: 'max_iteration',
concurrency_limit: 'concurrency_limit',
The_maximum_number_of_tokens: 'The maximum number of tokens or words allowed in a prompt',
Theme: 'Theme',
Port: 'Port',
Username: 'Username',
Password: 'Password',
Remark: 'Remark',
Edit: 'Edit',
Database: 'Database',
Data_Source: 'Data Center',
Close_Sidebar: 'Fold',
Show_Sidebar: 'UnFold',
language: 'Language',
choose_model: 'Please choose a model',
data_center_desc: 'DB-GPT also offers a user-friendly data center management interface for efficient data maintenance.',
create_database: 'Create Database',
create_knowledge: 'Create Knowledge',
path: 'Path',
model_manage: 'Models',
stop_model_success: 'Stop model success',
create_model: 'Create Model',
model_select_tips: 'Please select a model',
submit: 'Submit',
close: 'Close',
start_model_success: 'Start model success',
download_model_tip: 'Please download model first.',
Plugins: 'Plugins',
try_again: 'Try again',
no_data: 'No data',
Open_Sidebar: 'Unfold',
cancel: 'Cancel',
Edit_Success: 'Edit Success',
Add: 'Add',
Add_Success: 'Add Success',
Error_Message: 'Something Error',
Please_Input: 'Please Input',
Prompt_Info_Scene: 'Scene',
Prompt_Info_Sub_Scene: 'Sub Scene',
Prompt_Info_Name: 'Name',
Prompt_Info_Content: 'Content',
Public: 'Public',
Private: 'Private',
Lowest: 'Lowest',
Missed: 'Missed',
Lost: 'Lost',
Incorrect: 'Incorrect',
Verbose: 'Verbose',
Best: 'Best',
Rating: 'Rating',
Q_A_Category: 'Q&A Category',
Q_A_Rating: 'Q&A Rating',
feed_back_desc:
'0: No results\n' +
'1: Results exist, but they are irrelevant, the question is not understood\n' +
'2: Results exist, the question is understood, but it indicates that the question cannot be answered\n' +
'3: Results exist, the question is understood, and an answer is given, but the answer is incorrect\n' +
'4: Results exist, the question is understood, the answer is correct, but it is verbose and lacks a summary\n' +
'5: Results exist, the question is understood, the answer is correct, the reasoning is correct, and a summary is provided, concise and to the point\n',
input_count: 'Total input',
input_unit: 'characters',
Copy: 'Copy',
Copy_success: 'Content copied successfully',
Copy_nothing: 'Content copied is empty',
Copry_error: 'Copy failed',
Click_Select: 'Click&Select',
Quick_Start: 'Quick Start',
Select_Plugins: 'Select Plugins',
Search: 'Search',
Update_From_Github: 'Upload From Github',
Reset: 'Reset',
Upload: 'Upload',
Market_Plugins: 'Market Plugin',
My_Plugins: 'My Plugins',
Del_Knowledge_Tips: 'Do you want delete the Space',
Del_Document_Tips: 'Do you want delete the Document',
Tips: 'Tips',
Limit_Upload_File_Count_Tips: 'Only one file can be uploaded at a time',
To_Plugin_Market: 'Go to the Plugin Market',
Summary: 'Summary',
stacked_column_chart: 'Stacked Column',
column_chart: 'Column',
percent_stacked_column_chart: 'Percent Stacked Column',
grouped_column_chart: 'Grouped Column',
time_column: 'Time Column',
pie_chart: 'Pie',
line_chart: 'Line',
area_chart: 'Area',
stacked_area_chart: 'Stacked Area',
scatter_plot: 'Scatter',
bubble_chart: 'Bubble',
stacked_bar_chart: 'Stacked Bar',
bar_chart: 'Bar',
percent_stacked_bar_chart: 'Percent Stacked Bar',
grouped_bar_chart: 'Grouped Bar',
water_fall_chart: 'Waterfall',
table: 'Table',
multi_line_chart: 'Multi Line',
multi_measure_column_chart: 'Multi Measure Column',
multi_measure_line_chart: 'Multi Measure Line',
Advices: 'Advices',
Retry: 'Retry',
Load_more: 'load more',
new_chat: 'New Chat',
} as const;
type I18nKeys = keyof typeof en;
export interface Resources {
translation: Record<I18nKeys, string>;
}
const zh: Resources['translation'] = {
Knowledge_Space: '知识库',
space: '知识库',
Vector: '向量',
Owner: '创建人',
Count: '文档数',
File_type_Invalid: '文件类型错误',
Knowledge_Space_Config: '知识库配置',
Choose_a_Datasource_type: '知识库类型',
Segmentation: '分片',
No_parameter: '不需要配置分片参数',
Knowledge_Space_Name: '知识库名称',
Please_input_the_name: '请输入名称',
Please_input_the_owner: '请输入创建人',
Please_select_file: '请至少选择一个文件',
Description: '描述',
Please_input_the_description: '请输入描述',
Next: '下一步',
the_name_can_only_contain: '名称只能包含数字、字母、中文字符、-或_',
Text: '文本',
'Fill your raw text': '填写您的原始文本',
URL: '网址',
Fetch_the_content_of_a_URL: '获取 URL 的内容',
Document: '文档',
Upload_a_document: '上传文档，文档类型可以是PDF、CSV、Text、PowerPoint、Word、Markdown',
Name: '名称',
Text_Source: '文本来源（可选）',
Please_input_the_text_source: '请输入文本来源',
Sync: '同步',
Back: '上一步',
Finish: '完成',
Web_Page_URL: '网页网址',
Please_input_the_Web_Page_URL: '请输入网页网址',
Select_or_Drop_file: '选择或拖拽文件',
Documents: '文档',
Chat: '对话',
Add_Datasource: '添加数据源',
Arguments: '参数',
Type: '类型',
Size: '切片',
Last_Sync: '上次同步时间',
Status: '状态',
Result: '结果',
Details: '明细',
Delete: '删除',
Operation: '操作',
Submit: '提交',
close: '关闭',
Chunks: '切片',
Content: '内容',
Meta_Data: '元数据',
Please_select_a_file: '请上传一个文件',
Please_input_the_text: '请输入文本',
Embedding: '嵌入',
topk: 'TopK',
the_top_k_vectors: '基于相似度得分的前 k 个向量',
recall_score: '召回分数',
Set_a_threshold_score: '设置相似向量检索的阈值分数',
recall_type: '召回类型',
model: '模型',
A_model_used: '用于创建文本或其他数据的矢量表示的模型',
Automatic: '自动切片',
Process: '切片处理',
Automatic_desc: '自动设置分割和预处理规则。',
chunk_size: '块大小',
The_size_of_the_data_chunks: '处理中使用的数据块的大小',
chunk_overlap: '块重叠',
The_amount_of_overlap: '相邻数据块之间的重叠量',
scene: '场景',
A_contextual_parameter: '用于定义使用提示的设置或环境的上下文参数',
template: '模板',
structure_or_format: '预定义的提示结构或格式，有助于确保人工智能系统生成与所需风格或语气一致的响应。',
max_token: '最大令牌',
max_iteration: '最大迭代',
concurrency_limit: '并发限制',
The_maximum_number_of_tokens: '提示中允许的最大标记或单词数',
Theme: '主题',
Port: '端口',
Username: '用户名',
Password: '密码',
Remark: '备注',
Edit: '编辑',
Database: '数据库',
Data_Source: '数据中心',
Close_Sidebar: '收起',
Show_Sidebar: '展开',
language: '语言',
choose_model: '请选择一个模型',
data_center_desc: 'DB-GPT支持数据库交互和基于文档的对话，它还提供了一个用户友好的数据中心管理界面。',
create_database: '创建数据库',
create_knowledge: '创建知识库',
path: '路径',
model_manage: '模型管理',
stop_model_success: '模型停止成功',
create_model: '创建模型',
model_select_tips: '请选择一个模型',
submit: '提交',
start_model_success: '启动模型成功',
download_model_tip: '请先下载模型！',
Plugins: '插件列表',
try_again: '刷新重试',
no_data: '暂无数据',
Prompt: '提示语',
Open_Sidebar: '展开',
cancel: '取消',
Edit_Success: '编辑成功',
Add: '新增',
Add_Success: '新增成功',
Error_Message: '出错了',
Please_Input: '请输入',
Prompt_Info_Scene: '场景',
Prompt_Info_Sub_Scene: '次级场景',
Prompt_Info_Name: '名称',
Prompt_Info_Content: '内容',
Public: '公共',
Private: '私有',
Lowest: '渣渣',
Missed: '没理解',
Lost: '答不了',
Incorrect: '答错了',
Verbose: '较啰嗦',
Best: '真棒',
Rating: '评分',
Q_A_Category: '问答类别',
Q_A_Rating: '问答评分',
feed_back_desc:
'0: 无结果\n' +
'1: 有结果，但是在文不对题，没有理解问题\n' +
'2: 有结果，理解了问题，但是提示回答不了这个问题\n' +
'3: 有结果，理解了问题，并做出回答，但是回答的结果错误\n' +
'4: 有结果，理解了问题，回答结果正确，但是比较啰嗦，缺乏总结\n' +
'5: 有结果，理解了问题，回答结果正确，推理正确，并给出了总结，言简意赅\n',
input_count: '共计输入',
input_unit: '字',
Copy: '复制',
Copy_success: '内容复制成功',
Copy_nothing: '内容复制为空',
Copry_error: '复制失败',
Click_Select: '点击选择',
Quick_Start: '快速开始',
Select_Plugins: '选择插件',
Search: '搜索',
Reset: '重置',
Update_From_Github: '更新Github插件',
Upload: '上传',
Market_Plugins: '插件市场',
My_Plugins: '我的插件',
Del_Knowledge_Tips: '你确定删除该知识库吗',
Del_Document_Tips: '你确定删除该文档吗',
Tips: '提示',
Limit_Upload_File_Count_Tips: '一次只能上传一个文件',
To_Plugin_Market: '前往插件市场',
Summary: '总结',
stacked_column_chart: '堆叠柱状图',
column_chart: '柱状图',
percent_stacked_column_chart: '百分比堆叠柱状图',
grouped_column_chart: '簇形柱状图',
time_column: '簇形柱状图',
pie_chart: '饼图',
line_chart: '折线图',
area_chart: '面积图',
stacked_area_chart: '堆叠面积图',
scatter_plot: '散点图',
bubble_chart: '气泡图',
stacked_bar_chart: '堆叠条形图',
bar_chart: '条形图',
percent_stacked_bar_chart: '百分比堆叠条形图',
grouped_bar_chart: '簇形条形图',
water_fall_chart: '瀑布图',
table: '表格',
multi_line_chart: '多折线图',
multi_measure_column_chart: '多指标柱形图',
multi_measure_line_chart: '多指标折线图',
Advices: '自动推荐',
Retry: '重试',
Load_more: '加载更多',
new_chat: '创建会话',
} as const;
i18n.use(initReactI18next).init({
resources,
resources: {
en: {
translation: en,
},
zh: {
translation: zh,
},
},
lng: 'en',
interpolation: {
escapeValue: false,
},
});
export type I18nKeyMapper = (typeof resources)['en']['translation'];
export default i18n;
declare module 'i18next' {
interface CustomTypeOptions {
resources: Resources;
}
}