mirror of
https://github.com/labring/FastGPT.git
synced 2025-07-22 20:37:48 +00:00
V4.9.4 feature (#4470)
* Training status (#4424) * dataset data training state (#4311) * dataset data training state * fix * fix ts * fix * fix api format * fix * fix * perf: count training * format * fix: dataset training state (#4417) * fix * add test * fix * fix * fix test * fix test * perf: training count * count * loading status --------- Co-authored-by: heheer <heheer@sealos.io> * doc * website sync feature (#4429) * perf: introduce BullMQ for website sync (#4403) * perf: introduce BullMQ for website sync * feat: new redis module * fix: remove graceful shutdown * perf: improve UI in dataset detail - Updated the "change" icon SVG file. - Modified i18n strings. - Added new i18n string "immediate_sync". - Improved UI in dataset detail page, including button icons and background colors. * refactor: Add chunkSettings to DatasetSchema * perf: website sync ux * env template * fix: clean up website dataset when updating chunk settings (#4420) * perf: check setting updated * perf: worker currency * feat: init script for website sync refactor (#4425) * website feature doc --------- Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> * pro migration (#4388) (#4433) * pro migration * reuse customPdfParseType Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com> * perf: remove loading ui * feat: config chat file expired time * Redis cache (#4436) * perf: add Redis cache for vector counting (#4432) * feat: cache * perf: get cache key --------- Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> * perf: mobile voice input (#4437) * update:Mobile voice interaction (#4362) * Add files via upload * Add files via upload * Update ollama.md * Update ollama.md * Add files via upload * Update useSpeech.ts * Update ChatInput.tsx * Update useSpeech.ts * Update ChatInput.tsx * Update useSpeech.ts * Update constants.ts * Add files via upload * Update ChatInput.tsx * Update useSpeech.ts * Update useSpeech.ts * Update useSpeech.ts * Update ChatInput.tsx * Add files via upload * Update common.json * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update useSpeech.ts * Update useSpeech.ts * Update common.json * Update common.json * Update common.json * Update VoiceInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update VoiceInput.tsx * Update ChatInput.tsx * Update useSpeech.ts * Update common.json * Update chat.json * Update common.json * Update chat.json * Update common.json * Update chat.json * Update VoiceInput.tsx * Update ChatInput.tsx * Update useSpeech.ts * Update VoiceInput.tsx * speech ui * 优化语音输入组件，调整输入框显示逻辑，修复语音输入遮罩层样式，更新画布背景透明度，增强用户交互体验。 (#4435) * perf: mobil voice input --------- Co-authored-by: dreamer6680 <1468683855@qq.com> * Test completion v2 (#4438) * add v2 completions (#4364) * add v2 completions * completion config * config version * fix * frontend * doc * fix * fix: completions v2 api --------- Co-authored-by: heheer <heheer@sealos.io> * package * Test mongo log (#4443) * feat: mongodb-log (#4426) * perf: mongo log * feat: completions stop reasoner * mongo db log --------- Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> * update doc * Update doc * fix external var ui (#4444) * action * fix: ts (#4458) * preview doc action add docs preview permission update preview action udpate action * update doc (#4460) * update preview action * update doc * remove * update * schema * update mq export;perf: redis cache (#4465) * perf: redis cache * update mq export * perf: website sync error tip * add error worker * website sync ui (#4466) * Updated the dynamic display of the voice input pop-up (#4469) * Update VoiceInput.tsx * Update VoiceInput.tsx * Update VoiceInput.tsx * fix: voice input --------- Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com> Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com> Co-authored-by: dreamer6680 <1468683855@qq.com> Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com>
This commit is contained in:
Archer
@@ -67,6 +67,7 @@ export const iconPaths = {
|
||||
'common/list': () => import('./icons/common/list.svg'),
|
||||
'common/loading': () => import('./icons/common/loading.svg'),
|
||||
'common/logLight': () => import('./icons/common/logLight.svg'),
|
||||
'common/maximize': () => import('./icons/common/maximize.svg'),
|
||||
'common/microsoft': () => import('./icons/common/microsoft.svg'),
|
||||
'common/model': () => import('./icons/common/model.svg'),
|
||||
'common/monitor': () => import('./icons/common/monitor.svg'),
|
||||
@@ -85,6 +86,7 @@ export const iconPaths = {
|
||||
'common/rightArrowFill': () => import('./icons/common/rightArrowFill.svg'),
|
||||
'common/rightArrowLight': () => import('./icons/common/rightArrowLight.svg'),
|
||||
'common/routePushLight': () => import('./icons/common/routePushLight.svg'),
|
||||
'common/running': () => import('./icons/common/running.svg'),
|
||||
'common/saveFill': () => import('./icons/common/saveFill.svg'),
|
||||
'common/searchLight': () => import('./icons/common/searchLight.svg'),
|
||||
'common/select': () => import('./icons/common/select.svg'),
|
||||
@@ -181,6 +183,7 @@ export const iconPaths = {
|
||||
'core/chat/feedback/goodLight': () => import('./icons/core/chat/feedback/goodLight.svg'),
|
||||
'core/chat/fileSelect': () => import('./icons/core/chat/fileSelect.svg'),
|
||||
'core/chat/finishSpeak': () => import('./icons/core/chat/finishSpeak.svg'),
|
||||
'core/chat/backText':() => import('./icons/core/chat/backText.svg'),
|
||||
'core/chat/imgSelect': () => import('./icons/core/chat/imgSelect.svg'),
|
||||
'core/chat/quoteFill': () => import('./icons/core/chat/quoteFill.svg'),
|
||||
'core/chat/quoteSign': () => import('./icons/core/chat/quoteSign.svg'),
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
<svg viewBox="0 0 13 12" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<g id="icon/line/change">
|
||||
<g id="Vector">
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M3.23479 4.71964C3.23479 4.4435 3.45864 4.21964 3.73479 4.21964L11.0348 4.21964C11.3109 4.21964 11.5348 4.4435 11.5348 4.71964C11.5348 4.99579 11.3109 5.21964 11.0348 5.21964L3.73479 5.21964C3.45864 5.21964 3.23479 4.99579 3.23479 4.71964Z" fill="#3370FF"/>
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M8.70133 2.38619C8.89659 2.19093 9.21317 2.19093 9.40843 2.38619L11.3883 4.36609C11.5836 4.56135 11.5836 4.87794 11.3883 5.0732C11.1931 5.26846 10.8765 5.26846 10.6812 5.0732L8.70133 3.0933C8.50607 2.89804 8.50607 2.58145 8.70133 2.38619Z" fill="#3370FF"/>
|
||||
<path d="M1.84361 6.81774C1.78456 6.84214 1.72923 6.87834 1.68124 6.92633C1.63324 6.97433 1.59704 7.02965 1.57264 7.08871C1.54825 7.1476 1.53479 7.21217 1.53479 7.27989C1.53479 7.34768 1.54828 7.41232 1.57273 7.47128C1.59639 7.52847 1.63112 7.58215 1.67692 7.62907C1.67852 7.63071 1.68013 7.63234 1.68176 7.63396L3.66114 9.61334C3.8564 9.8086 4.17298 9.8086 4.36824 9.61334C4.5635 9.41808 4.5635 9.10149 4.36824 8.90623L3.2419 7.77989L9.33479 7.77989C9.61093 7.77989 9.83479 7.55603 9.83479 7.27989C9.83479 7.00374 9.61093 6.77989 9.33479 6.77989H2.03479C2.03325 6.77989 2.03171 6.77989 2.03017 6.77991C1.96414 6.7805 1.90117 6.7939 1.84361 6.81774Z" fill="#3370FF"/>
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M3.23479 4.71964C3.23479 4.4435 3.45864 4.21964 3.73479 4.21964L11.0348 4.21964C11.3109 4.21964 11.5348 4.4435 11.5348 4.71964C11.5348 4.99579 11.3109 5.21964 11.0348 5.21964L3.73479 5.21964C3.45864 5.21964 3.23479 4.99579 3.23479 4.71964Z"/>
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M8.70133 2.38619C8.89659 2.19093 9.21317 2.19093 9.40843 2.38619L11.3883 4.36609C11.5836 4.56135 11.5836 4.87794 11.3883 5.0732C11.1931 5.26846 10.8765 5.26846 10.6812 5.0732L8.70133 3.0933C8.50607 2.89804 8.50607 2.58145 8.70133 2.38619Z"/>
|
||||
<path d="M1.84361 6.81774C1.78456 6.84214 1.72923 6.87834 1.68124 6.92633C1.63324 6.97433 1.59704 7.02965 1.57264 7.08871C1.54825 7.1476 1.53479 7.21217 1.53479 7.27989C1.53479 7.34768 1.54828 7.41232 1.57273 7.47128C1.59639 7.52847 1.63112 7.58215 1.67692 7.62907C1.67852 7.63071 1.68013 7.63234 1.68176 7.63396L3.66114 9.61334C3.8564 9.8086 4.17298 9.8086 4.36824 9.61334C4.5635 9.41808 4.5635 9.10149 4.36824 8.90623L3.2419 7.77989L9.33479 7.77989C9.61093 7.77989 9.83479 7.55603 9.83479 7.27989C9.83479 7.00374 9.61093 6.77989 9.33479 6.77989H2.03479C2.03325 6.77989 2.03171 6.77989 2.03017 6.77991C1.96414 6.7805 1.90117 6.7939 1.84361 6.81774Z"/>
|
||||
</g>
|
||||
</g>
|
||||
</svg>
|
||||
|
||||
|
Before Width: | Height: | Size: 1.4 KiB After Width: | Height: | Size: 1.3 KiB |
@@ -1,3 +1,3 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 11 10" fill="none">
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M8.82531 2.05806C9.06939 1.81398 9.46512 1.81398 9.70919 2.05806C9.95327 2.30214 9.95327 2.69786 9.7092 2.94194L5.12586 7.52528C4.88178 7.76935 4.48606 7.76935 4.24198 7.52528L2.15864 5.44194C1.91457 5.19786 1.91457 4.80214 2.15864 4.55806C2.40272 4.31398 2.79845 4.31398 3.04253 4.55806L4.68392 6.19945L8.82531 2.05806Z" />
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 12 12" fill="none">
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M9.46964 2.46967C9.76253 2.17678 10.2374 2.17678 10.5303 2.46967C10.8232 2.76256 10.8232 3.23744 10.5303 3.53033L5.0303 9.03033C4.73741 9.32322 4.26253 9.32322 3.96964 9.03033L1.46964 6.53033C1.17675 6.23744 1.17675 5.76256 1.46964 5.46967C1.76253 5.17678 2.23741 5.17678 2.5303 5.46967L4.49997 7.43934L9.46964 2.46967Z" />
|
||||
</svg>
|
||||
|
Before Width: | Height: | Size: 456 B After Width: | Height: | Size: 454 B |
@@ -0,0 +1,3 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 10 11" fill="none">
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M6.24998 2.22347C6.01986 2.22347 5.83331 2.03692 5.83331 1.8068C5.83331 1.57668 6.01986 1.39014 6.24998 1.39014H8.74998C8.9801 1.39014 9.16665 1.57668 9.16665 1.8068V4.3068C9.16665 4.53692 8.9801 4.72347 8.74998 4.72347C8.51986 4.72347 8.33331 4.53692 8.33331 4.3068V2.81273L6.12794 5.0181C5.96522 5.18082 5.7014 5.18082 5.53869 5.0181C5.37597 4.85538 5.37597 4.59156 5.53869 4.42884L7.74406 2.22347H6.24998ZM4.46127 6.09551C4.62399 6.25823 4.62399 6.52205 4.46127 6.68476L2.2559 8.89014H3.74998C3.9801 8.89014 4.16665 9.07669 4.16665 9.3068C4.16665 9.53692 3.9801 9.72347 3.74998 9.72347H1.24998C1.13947 9.72347 1.03349 9.67957 0.955352 9.60143C0.877212 9.52329 0.833313 9.41731 0.833313 9.3068L0.833313 6.8068C0.833313 6.57668 1.01986 6.39014 1.24998 6.39014C1.4801 6.39014 1.66665 6.57668 1.66665 6.8068L1.66665 8.30088L3.87202 6.09551C4.03474 5.93279 4.29856 5.93279 4.46127 6.09551Z" />
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 1022 B |
@@ -0,0 +1,3 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20" fill="none">
|
||||
<path fill-rule="evenodd" clip-rule="evenodd" d="M3.42335 9.70025C3.42335 6.06906 6.36701 3.1254 9.9982 3.1254C11.8153 3.1254 13.6728 3.9104 14.9391 5.32281C16.1863 6.71386 16.8964 8.75372 16.3686 11.3689C16.2731 11.8419 16.5792 12.3028 17.0522 12.3982C17.5252 12.4937 17.9861 12.1876 18.0815 11.7146C18.7147 8.57736 17.8683 5.97217 16.2402 4.15628C14.6313 2.36174 12.2949 1.37793 9.9982 1.37793C5.40191 1.37793 1.67588 5.10396 1.67588 9.70025C1.67588 11.6523 2.5328 14.2506 4.35082 15.8991L3.75846 15.8976C3.27592 15.8964 2.88375 16.2866 2.88253 16.7692C2.88132 17.2517 3.27152 17.6439 3.75407 17.6451L6.84117 17.6529C7.17714 17.6537 7.4693 17.4648 7.6162 17.1871C7.69971 17.0534 7.74807 16.8955 7.74833 16.7262L7.75314 13.6037C7.75388 13.1211 7.3633 12.7293 6.88075 12.7286C6.3982 12.7278 6.00641 13.1184 6.00567 13.601L6.00354 14.9858C4.32556 13.8215 3.42335 11.4678 3.42335 9.70025ZM16.8177 14.5519C16.8177 15.1962 16.2954 15.7185 15.651 15.7185C15.0067 15.7185 14.4844 15.1962 14.4844 14.5519C14.4844 13.9075 15.0067 13.3852 15.651 13.3852C16.2954 13.3852 16.8177 13.9075 16.8177 14.5519ZM12.6957 17.7912C13.3401 17.7912 13.8624 17.2689 13.8624 16.6246C13.8624 15.9802 13.3401 15.4579 12.6957 15.4579C12.0514 15.4579 11.5291 15.9802 11.5291 16.6246C11.5291 17.2689 12.0514 17.7912 12.6957 17.7912Z" fill="#3370FF"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 1.4 KiB |
@@ -0,0 +1,4 @@
|
||||
<svg
|
||||
class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" width="200" height="200">
|
||||
<path d="M512 74.666667C270.933333 74.666667 74.666667 270.933333 74.666667 512S270.933333 949.333333 512 949.333333 949.333333 753.066667 949.333333 512 753.066667 74.666667 512 74.666667z m0 810.666666c-204.8 0-373.333333-168.533333-373.333333-373.333333S307.2 138.666667 512 138.666667 885.333333 307.2 885.333333 512 716.8 885.333333 512 885.333333z" fill="#666666"></path>
|
||||
<path d="M448 437.333333c17.066667 0 32-14.933333 32-32v-42.666666c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666666c0 17.066667 14.933333 32 32 32zM576 437.333333c17.066667 0 32-14.933333 32-32v-42.666666c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666666c0 17.066667 14.933333 32 32 32zM320 437.333333c17.066667 0 32-14.933333 32-32v-42.666666c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666666c0 17.066667 14.933333 32 32 32zM704 330.666667c-17.066667 0-32 14.933333-32 32v42.666666c0 17.066667 14.933333 32 32 32s32-14.933333 32-32v-42.666666c0-17.066667-14.933333-32-32-32zM448 586.666667c17.066667 0 32-14.933333 32-32v-42.666667c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666667c0 17.066667 14.933333 32 32 32zM576 586.666667c17.066667 0 32-14.933333 32-32v-42.666667c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666667c0 17.066667 14.933333 32 32 32zM352 554.666667v-42.666667c0-17.066667-14.933333-32-32-32s-32 14.933333-32 32v42.666667c0 17.066667 14.933333 32 32 32s32-14.933333 32-32zM704 480c-17.066667 0-32 14.933333-32 32v42.666667c0 17.066667 14.933333 32 32 32s32-14.933333 32-32v-42.666667c0-17.066667-14.933333-32-32-32zM682.666667 650.666667H341.333333c-17.066667 0-32 14.933333-32 32s14.933333 32 32 32h341.333334c17.066667 0 32-14.933333 32-32s-14.933333-32-32-32z" fill="#666666" ></path></svg>
|
||||
|
After Width: | Height: | Size: 1.8 KiB |
@@ -26,23 +26,43 @@ const MyNumberInput = (props: Props) => {
|
||||
<NumberInput
|
||||
{...restProps}
|
||||
onBlur={(e) => {
|
||||
if (!onBlur) return;
|
||||
const numE = Number(e.target.value);
|
||||
if (isNaN(numE)) {
|
||||
// @ts-ignore
|
||||
onBlur('');
|
||||
} else {
|
||||
onBlur(numE);
|
||||
if (onBlur) {
|
||||
if (isNaN(numE)) {
|
||||
// @ts-ignore
|
||||
onBlur('');
|
||||
} else {
|
||||
onBlur(numE);
|
||||
}
|
||||
}
|
||||
if (register && name) {
|
||||
const event = {
|
||||
target: {
|
||||
name,
|
||||
value: numE
|
||||
}
|
||||
};
|
||||
register(name).onBlur(event);
|
||||
}
|
||||
}}
|
||||
onChange={(e) => {
|
||||
if (!onChange) return;
|
||||
const numE = Number(e);
|
||||
if (isNaN(numE)) {
|
||||
// @ts-ignore
|
||||
onChange('');
|
||||
} else {
|
||||
onChange(numE);
|
||||
if (onChange) {
|
||||
if (isNaN(numE)) {
|
||||
// @ts-ignore
|
||||
onChange('');
|
||||
} else {
|
||||
onChange(numE);
|
||||
}
|
||||
}
|
||||
if (register && name) {
|
||||
const event = {
|
||||
target: {
|
||||
name,
|
||||
value: numE
|
||||
}
|
||||
};
|
||||
register(name).onChange(event);
|
||||
}
|
||||
}}
|
||||
>
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import React, { useMemo } from 'react';
|
||||
import { Box, Flex, type FlexProps } from '@chakra-ui/react';
|
||||
import { Box, BoxProps, Flex, type FlexProps } from '@chakra-ui/react';
|
||||
|
||||
type ColorSchemaType = 'white' | 'blue' | 'green' | 'red' | 'yellow' | 'gray' | 'purple' | 'adora';
|
||||
|
||||
@@ -8,6 +8,7 @@ export type TagProps = FlexProps & {
|
||||
colorSchema?: ColorSchemaType;
|
||||
type?: 'fill' | 'borderFill' | 'borderSolid';
|
||||
showDot?: boolean;
|
||||
DotStyles?: BoxProps;
|
||||
};
|
||||
|
||||
const colorMap: Record<
|
||||
@@ -60,7 +61,14 @@ const colorMap: Record<
|
||||
}
|
||||
};
|
||||
|
||||
const MyTag = ({ children, colorSchema = 'blue', type = 'fill', showDot, ...props }: TagProps) => {
|
||||
const MyTag = ({
|
||||
children,
|
||||
colorSchema = 'blue',
|
||||
type = 'fill',
|
||||
showDot,
|
||||
DotStyles,
|
||||
...props
|
||||
}: TagProps) => {
|
||||
const theme = useMemo(() => {
|
||||
return colorMap[colorSchema];
|
||||
}, [colorSchema]);
|
||||
@@ -81,7 +89,9 @@ const MyTag = ({ children, colorSchema = 'blue', type = 'fill', showDot, ...prop
|
||||
bg={type !== 'borderSolid' ? theme.bg : 'transparent'}
|
||||
{...props}
|
||||
>
|
||||
{showDot && <Box w={1.5} h={1.5} borderRadius={'md'} bg={theme.color} mr={1.5}></Box>}
|
||||
{showDot && (
|
||||
<Box w={1.5} h={1.5} borderRadius={'md'} bg={theme.color} mr={1.5} {...DotStyles}></Box>
|
||||
)}
|
||||
{children}
|
||||
</Flex>
|
||||
);
|
||||
|
||||
@@ -308,7 +308,13 @@ export function useScrollPagination<
|
||||
);
|
||||
|
||||
return (
|
||||
<MyBox ref={ref} h={'100%'} overflow={'auto'} isLoading={isLoading} {...props}>
|
||||
<MyBox
|
||||
ref={ref}
|
||||
h={'100%'}
|
||||
overflow={'auto'}
|
||||
isLoading={isLoading || isLoadingProp}
|
||||
{...props}
|
||||
>
|
||||
{scrollLoadType === 'top' && total > 0 && isLoading && (
|
||||
<Box mt={2} fontSize={'xs'} color={'blackAlpha.500'} textAlign={'center'}>
|
||||
{t('common:common.is_requesting')}
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
"Delete_all": "Clear All Lexicon",
|
||||
"LLM_model_response_empty": "The model flow response is empty, please check whether the model flow output is normal.",
|
||||
"ai_reasoning": "Thinking process",
|
||||
"back_to_text": "Text input",
|
||||
"chat.quote.No Data": "The file cannot be found",
|
||||
"chat.quote.deleted": "This data has been deleted ~",
|
||||
"chat_history": "Conversation History",
|
||||
@@ -10,12 +11,22 @@
|
||||
"chat_test_app": "Debug-{{name}}",
|
||||
"citations": "{{num}} References",
|
||||
"click_contextual_preview": "Click to see contextual preview",
|
||||
"completion_finish_close": "Disconnection",
|
||||
"completion_finish_content_filter": "Trigger safe wind control",
|
||||
"completion_finish_function_call": "Function Calls",
|
||||
"completion_finish_length": "Reply limit exceeded",
|
||||
"completion_finish_null": "unknown",
|
||||
"completion_finish_reason": "Reason for completion",
|
||||
"completion_finish_stop": "Completed normally",
|
||||
"completion_finish_tool_calls": "Tool calls",
|
||||
"config_input_guide": "Set Up Input Guide",
|
||||
"config_input_guide_lexicon": "Set Up Lexicon",
|
||||
"config_input_guide_lexicon_title": "Set Up Lexicon",
|
||||
"content_empty": "No Content",
|
||||
"contextual": "{{num}} Contexts",
|
||||
"contextual_preview": "Contextual Preview {{num}} Items",
|
||||
"core.chat.moveCancel": "Swipe to Cancel",
|
||||
"core.chat.shortSpeak": "Speaking Time is Too Short",
|
||||
"csv_input_lexicon_tip": "Only CSV batch import is supported, click to download the template",
|
||||
"custom_input_guide_url": "Custom Lexicon URL",
|
||||
"data_source": "Source Dataset: {{name}}",
|
||||
@@ -41,11 +52,14 @@
|
||||
"not_query": "Missing query content",
|
||||
"not_select_file": "No file selected",
|
||||
"plugins_output": "Plugin Output",
|
||||
"press_to_speak": "Hold down to speak",
|
||||
"query_extension_IO_tokens": "Problem Optimization Input/Output Tokens",
|
||||
"query_extension_result": "Problem optimization results",
|
||||
"question_tip": "From top to bottom, the response order of each module",
|
||||
"read_raw_source": "Open the original text",
|
||||
"reasoning_text": "Thinking process",
|
||||
"release_cancel": "Release Cancel",
|
||||
"release_send": "Release send, slide up to cancel",
|
||||
"response.child total points": "Sub-workflow point consumption",
|
||||
"response.dataset_concat_length": "Combined total",
|
||||
"response.node_inputs": "Node Inputs",
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
{
|
||||
"App": "Application",
|
||||
"Click_to_expand": "Click to expand",
|
||||
"Download": "Download",
|
||||
"Export": "Export",
|
||||
"FAQ.ai_point_a": "Each time you use the AI model, a certain amount of AI points will be deducted. For detailed calculation standards, please refer to the 'AI Points Calculation Standards' above.\nToken calculation uses the same formula as GPT-3.5, where 1 Token ≈ 0.7 Chinese characters ≈ 0.9 English words. Consecutive characters may be considered as 1 Token.",
|
||||
@@ -511,7 +512,7 @@
|
||||
"core.dataset.Query extension intro": "Enabling the question optimization function can improve the accuracy of Dataset searches during continuous conversations. After enabling this function, when performing Dataset searches, the AI will complete the missing information of the question based on the conversation history.",
|
||||
"core.dataset.Quote Length": "Quote Content Length",
|
||||
"core.dataset.Read Dataset": "View Dataset Details",
|
||||
"core.dataset.Set Website Config": "Start Configuring Website Information",
|
||||
"core.dataset.Set Website Config": "Start Configuring",
|
||||
"core.dataset.Start export": "Export Started",
|
||||
"core.dataset.Table collection": "Table Dataset",
|
||||
"core.dataset.Text collection": "Text Dataset",
|
||||
@@ -527,7 +528,6 @@
|
||||
"core.dataset.collection.Website Empty Tip": "No Website Associated Yet",
|
||||
"core.dataset.collection.Website Link": "Website Address",
|
||||
"core.dataset.collection.id": "Collection ID",
|
||||
"core.dataset.collection.metadata.Chunk Size": "Chunk Size",
|
||||
"core.dataset.collection.metadata.Createtime": "Creation Time",
|
||||
"core.dataset.collection.metadata.Raw text length": "Raw Text Length",
|
||||
"core.dataset.collection.metadata.Updatetime": "Update Time",
|
||||
@@ -538,6 +538,7 @@
|
||||
"core.dataset.collection.metadata.source name": "Source Name",
|
||||
"core.dataset.collection.metadata.source size": "Source Size",
|
||||
"core.dataset.collection.status.active": "Ready",
|
||||
"core.dataset.collection.status.error": "Error",
|
||||
"core.dataset.collection.sync.result.sameRaw": "Content Unchanged, No Update Needed",
|
||||
"core.dataset.collection.sync.result.success": "Sync Started",
|
||||
"core.dataset.data.Data Content": "Related Data Content",
|
||||
@@ -628,6 +629,7 @@
|
||||
"core.dataset.search.search mode": "Search Method",
|
||||
"core.dataset.status.active": "Ready",
|
||||
"core.dataset.status.syncing": "Syncing",
|
||||
"core.dataset.status.waiting": "Waiting",
|
||||
"core.dataset.test.Batch test": "Batch Test",
|
||||
"core.dataset.test.Batch test Placeholder": "Select a CSV File",
|
||||
"core.dataset.test.Search Test": "Search Test",
|
||||
|
||||
@@ -7,6 +7,7 @@
|
||||
"auto_indexes_tips": "Additional index generation is performed through large models to improve semantic richness and improve retrieval accuracy.",
|
||||
"auto_training_queue": "Enhanced index queueing",
|
||||
"chunk_max_tokens": "max_tokens",
|
||||
"chunk_size": "Block size",
|
||||
"close_auto_sync": "Are you sure you want to turn off automatic sync?",
|
||||
"collection.Create update time": "Creation/Update Time",
|
||||
"collection.Training type": "Training",
|
||||
@@ -28,9 +29,24 @@
|
||||
"custom_data_process_params_desc": "Customize data processing rules",
|
||||
"custom_split_sign_tip": "Allows you to chunk according to custom delimiters. \nUsually used for processed data, using specific separators for precise chunking. \nYou can use the | symbol to represent multiple splitters, such as: \".|.\" to represent a period in Chinese and English.\n\nTry to avoid using special symbols related to regular, such as: * () [] {}, etc.",
|
||||
"data_amount": "{{dataAmount}} Datas, {{indexAmount}} Indexes",
|
||||
"data_error_amount": "{{errorAmount}} Group training exception",
|
||||
"data_index_num": "Index {{index}}",
|
||||
"data_process_params": "Params",
|
||||
"data_process_setting": "Processing config",
|
||||
"dataset.Chunk_Number": "Block number",
|
||||
"dataset.Completed": "Finish",
|
||||
"dataset.Delete_Chunk": "delete",
|
||||
"dataset.Edit_Chunk": "edit",
|
||||
"dataset.Error_Message": "Report an error message",
|
||||
"dataset.No_Error": "No exception information yet",
|
||||
"dataset.Operation": "operate",
|
||||
"dataset.ReTrain": "Retrain",
|
||||
"dataset.Training Process": "Training status",
|
||||
"dataset.Training_Count": "{{count}} Group training",
|
||||
"dataset.Training_Errors": "Errors",
|
||||
"dataset.Training_QA": "{{count}} Group Q&A pair training",
|
||||
"dataset.Training_Status": "Training status",
|
||||
"dataset.Training_Waiting": "Need to wait for {{count}} group data",
|
||||
"dataset.Unsupported operation": "dataset.Unsupported operation",
|
||||
"dataset.no_collections": "No datasets available",
|
||||
"dataset.no_tags": "No tags available",
|
||||
@@ -55,6 +71,7 @@
|
||||
"image_auto_parse": "Automatic image indexing",
|
||||
"image_auto_parse_tips": "Call VLM to automatically label the pictures in the document and generate additional search indexes",
|
||||
"image_training_queue": "Queue of image processing",
|
||||
"immediate_sync": "Immediate Synchronization",
|
||||
"import.Auto mode Estimated Price Tips": "The text understanding model needs to be called, which requires more points: {{price}} points/1K tokens",
|
||||
"import.Embedding Estimated Price Tips": "Only use the index model and consume a small amount of AI points: {{price}} points/1K tokens",
|
||||
"import_confirm": "Confirm upload",
|
||||
@@ -71,6 +88,7 @@
|
||||
"keep_image": "Keep the picture",
|
||||
"move.hint": "After moving, the selected knowledge base/folder will inherit the permission settings of the new folder, and the original permission settings will become invalid.",
|
||||
"open_auto_sync": "After scheduled synchronization is turned on, the system will try to synchronize the collection from time to time every day. During the collection synchronization period, the collection data will not be searched.",
|
||||
"params_config": "Config",
|
||||
"params_setting": "Parameter settings",
|
||||
"pdf_enhance_parse": "PDF enhancement analysis",
|
||||
"pdf_enhance_parse_price": "{{price}} points/page",
|
||||
@@ -82,6 +100,13 @@
|
||||
"preview_chunk_empty": "Unable to read the contents of the file",
|
||||
"preview_chunk_intro": "A total of {{total}} blocks, up to 10",
|
||||
"preview_chunk_not_selected": "Click on the file on the left to preview",
|
||||
"process.Auto_Index": "Automatic index generation",
|
||||
"process.Get QA": "Q&A extraction",
|
||||
"process.Image_Index": "Image index generation",
|
||||
"process.Is_Ready": "Ready",
|
||||
"process.Parsing": "Parsing",
|
||||
"process.Vectorizing": "Index vectorization",
|
||||
"process.Waiting": "Queue",
|
||||
"rebuild_embedding_start_tip": "Index model switching task has started",
|
||||
"rebuilding_index_count": "Number of indexes being rebuilt: {{count}}",
|
||||
"request_headers": "Request headers, will automatically append 'Bearer '",
|
||||
@@ -99,6 +124,7 @@
|
||||
"split_sign_question": "question mark",
|
||||
"split_sign_semicolon": "semicolon",
|
||||
"start_sync_website_tip": "Confirm to start synchronizing data? \nThe old data will be deleted and retrieved again, please confirm!",
|
||||
"status_error": "Running exception",
|
||||
"sync_collection_failed": "Synchronization collection error, please check whether the source file can be accessed normally",
|
||||
"sync_schedule": "Timing synchronization",
|
||||
"sync_schedule_tip": "Only existing collections will be synchronized. \nIncludes linked collections and all collections in the API knowledge base. \nThe system will poll for updates every day, and the specific update time cannot be determined.",
|
||||
@@ -114,11 +140,15 @@
|
||||
"tag.total_tags": "Total {{total}} tags",
|
||||
"the_knowledge_base_has_indexes_that_are_being_trained_or_being_rebuilt": "The Dataset has indexes that are being trained or rebuilt",
|
||||
"total_num_files": "Total {{total}} files",
|
||||
"training.Error": "{{count}} Group exception",
|
||||
"training.Normal": "Normal",
|
||||
"training_mode": "Chunk mode",
|
||||
"training_ready": "{{count}} Group",
|
||||
"vector_model_max_tokens_tip": "Each chunk of data has a maximum length of 3000 tokens",
|
||||
"vllm_model": "Image understanding model",
|
||||
"website_dataset": "Website Sync",
|
||||
"website_dataset_desc": "Website sync allows you to build a Dataset directly using a web link.",
|
||||
"website_info": "Website Information",
|
||||
"yuque_dataset": "Yuque Dataset",
|
||||
"yuque_dataset_config": "Yuque Dataset Config",
|
||||
"yuque_dataset_desc": "Can build a dataset using Yuque documents by configuring permissions, without secondary storage"
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
"Delete_all": "清空词库",
|
||||
"LLM_model_response_empty": "模型流响应为空，请检查模型流输出是否正常",
|
||||
"ai_reasoning": "思考过程",
|
||||
"back_to_text": "返回输入",
|
||||
"chat.quote.No Data": "找不到该文件",
|
||||
"chat.quote.deleted": "该数据已被删除～",
|
||||
"chat_history": "聊天记录",
|
||||
@@ -10,12 +11,22 @@
|
||||
"chat_test_app": "调试-{{name}}",
|
||||
"citations": "{{num}}条引用",
|
||||
"click_contextual_preview": "点击查看上下文预览",
|
||||
"completion_finish_close": "连接断开",
|
||||
"completion_finish_content_filter": "触发安全风控",
|
||||
"completion_finish_function_call": "函数调用",
|
||||
"completion_finish_length": "超出回复限制",
|
||||
"completion_finish_null": "未知",
|
||||
"completion_finish_reason": "完成原因",
|
||||
"completion_finish_stop": "正常完成",
|
||||
"completion_finish_tool_calls": "工具调用",
|
||||
"config_input_guide": "配置输入引导",
|
||||
"config_input_guide_lexicon": "配置词库",
|
||||
"config_input_guide_lexicon_title": "配置词库",
|
||||
"content_empty": "内容为空",
|
||||
"contextual": "{{num}}条上下文",
|
||||
"contextual_preview": "上下文预览 {{num}} 条",
|
||||
"core.chat.moveCancel": "上滑取消",
|
||||
"core.chat.shortSpeak": "说话时间太短",
|
||||
"csv_input_lexicon_tip": "仅支持 CSV 批量导入，点击下载模板",
|
||||
"custom_input_guide_url": "自定义词库地址",
|
||||
"data_source": "来源知识库: {{name}}",
|
||||
@@ -41,11 +52,14 @@
|
||||
"not_query": "缺少查询内容",
|
||||
"not_select_file": "未选择文件",
|
||||
"plugins_output": "插件输出",
|
||||
"press_to_speak": "按住说话",
|
||||
"query_extension_IO_tokens": "问题优化输入/输出 Tokens",
|
||||
"query_extension_result": "问题优化结果",
|
||||
"question_tip": "从上到下，为各个模块的响应顺序",
|
||||
"read_raw_source": "打开原文",
|
||||
"reasoning_text": "思考过程",
|
||||
"release_cancel": "松开取消",
|
||||
"release_send": "松开发送，上滑取消",
|
||||
"response.child total points": "子工作流积分消耗",
|
||||
"response.dataset_concat_length": "合并后总数",
|
||||
"response.node_inputs": "节点输入",
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
{
|
||||
"App": "应用",
|
||||
"Click_to_expand": "点击查看详情",
|
||||
"Download": "下载",
|
||||
"Export": "导出",
|
||||
"FAQ.ai_point_a": "每次调用AI模型时，都会消耗一定的AI积分。具体的计算标准可参考上方的“AI 积分计算标准”。\nToken计算采用GPT3.5相同公式，1Token≈0.7中文字符≈0.9英文单词，连续出现的字符可能被认为是1个Tokens。",
|
||||
@@ -514,7 +515,7 @@
|
||||
"core.dataset.Query extension intro": "开启问题优化功能，可以提高提高连续对话时，知识库搜索的精度。开启该功能后，在进行知识库搜索时，会根据对话记录，利用 AI 补全问题缺失的信息。",
|
||||
"core.dataset.Quote Length": "引用内容长度",
|
||||
"core.dataset.Read Dataset": "查看知识库详情",
|
||||
"core.dataset.Set Website Config": "开始配置网站信息",
|
||||
"core.dataset.Set Website Config": "开始配置",
|
||||
"core.dataset.Start export": "已开始导出",
|
||||
"core.dataset.Table collection": "表格数据集",
|
||||
"core.dataset.Text collection": "文本数据集",
|
||||
@@ -530,7 +531,6 @@
|
||||
"core.dataset.collection.Website Empty Tip": "还没有关联网站",
|
||||
"core.dataset.collection.Website Link": "Web 站点地址",
|
||||
"core.dataset.collection.id": "集合 ID",
|
||||
"core.dataset.collection.metadata.Chunk Size": "分割大小",
|
||||
"core.dataset.collection.metadata.Createtime": "创建时间",
|
||||
"core.dataset.collection.metadata.Raw text length": "原文长度",
|
||||
"core.dataset.collection.metadata.Updatetime": "更新时间",
|
||||
@@ -541,6 +541,7 @@
|
||||
"core.dataset.collection.metadata.source name": "来源名",
|
||||
"core.dataset.collection.metadata.source size": "来源大小",
|
||||
"core.dataset.collection.status.active": "已就绪",
|
||||
"core.dataset.collection.status.error": "训练异常",
|
||||
"core.dataset.collection.sync.result.sameRaw": "内容未变动，无需更新",
|
||||
"core.dataset.collection.sync.result.success": "开始同步",
|
||||
"core.dataset.data.Data Content": "相关数据内容",
|
||||
@@ -631,6 +632,7 @@
|
||||
"core.dataset.search.search mode": "搜索方式",
|
||||
"core.dataset.status.active": "已就绪",
|
||||
"core.dataset.status.syncing": "同步中",
|
||||
"core.dataset.status.waiting": "排队中",
|
||||
"core.dataset.test.Batch test": "批量测试",
|
||||
"core.dataset.test.Batch test Placeholder": "选择一个 CSV 文件",
|
||||
"core.dataset.test.Search Test": "搜索测试",
|
||||
@@ -1289,4 +1291,4 @@
|
||||
"yes": "是",
|
||||
"yesterday": "昨天",
|
||||
"yesterday_detail_time": "昨天 {{time}}"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -7,6 +7,7 @@
|
||||
"auto_indexes_tips": "通过大模型进行额外索引生成，提高语义丰富度，提高检索的精度。",
|
||||
"auto_training_queue": "增强索引排队",
|
||||
"chunk_max_tokens": "分块上限",
|
||||
"chunk_size": "分块大小",
|
||||
"close_auto_sync": "确认关闭自动同步功能？",
|
||||
"collection.Create update time": "创建/更新时间",
|
||||
"collection.Training type": "训练模式",
|
||||
@@ -28,9 +29,24 @@
|
||||
"custom_data_process_params_desc": "自定义设置数据处理规则",
|
||||
"custom_split_sign_tip": "允许你根据自定义的分隔符进行分块。通常用于已处理好的数据，使用特定的分隔符来精确分块。可以使用 | 符号表示多个分割符，例如：“。|.” 表示中英文句号。\n尽量避免使用正则相关特殊符号，例如: * () [] {} 等。",
|
||||
"data_amount": "{{dataAmount}} 组数据, {{indexAmount}} 组索引",
|
||||
"data_error_amount": "{{errorAmount}} 组训练异常",
|
||||
"data_index_num": "索引 {{index}}",
|
||||
"data_process_params": "处理参数",
|
||||
"data_process_setting": "数据处理配置",
|
||||
"dataset.Chunk_Number": "分块号",
|
||||
"dataset.Completed": "完成",
|
||||
"dataset.Delete_Chunk": "删除",
|
||||
"dataset.Edit_Chunk": "编辑",
|
||||
"dataset.Error_Message": "报错信息",
|
||||
"dataset.No_Error": "暂无异常信息",
|
||||
"dataset.Operation": "操作",
|
||||
"dataset.ReTrain": "重试",
|
||||
"dataset.Training Process": "训练状态",
|
||||
"dataset.Training_Count": "{{count}} 组训练中",
|
||||
"dataset.Training_Errors": "异常 ({{count}})",
|
||||
"dataset.Training_QA": "{{count}} 组问答对训练中",
|
||||
"dataset.Training_Status": "训练状态",
|
||||
"dataset.Training_Waiting": "需等待 {{count}} 组数据",
|
||||
"dataset.Unsupported operation": "操作不支持",
|
||||
"dataset.no_collections": "暂无数据集",
|
||||
"dataset.no_tags": "暂无标签",
|
||||
@@ -55,6 +71,7 @@
|
||||
"image_auto_parse": "图片自动索引",
|
||||
"image_auto_parse_tips": "调用 VLM 自动标注文档里的图片，并生成额外的检索索引",
|
||||
"image_training_queue": "图片处理排队",
|
||||
"immediate_sync": "立即同步",
|
||||
"import.Auto mode Estimated Price Tips": "需调用文本理解模型，需要消耗较多AI 积分：{{price}} 积分/1K tokens",
|
||||
"import.Embedding Estimated Price Tips": "仅使用索引模型，消耗少量 AI 积分：{{price}} 积分/1K tokens",
|
||||
"import_confirm": "确认上传",
|
||||
@@ -71,6 +88,7 @@
|
||||
"keep_image": "保留图片",
|
||||
"move.hint": "移动后，所选知识库/文件夹将继承新文件夹的权限设置，原先的权限设置失效。",
|
||||
"open_auto_sync": "开启定时同步后，系统将会每天不定时尝试同步集合，集合同步期间，会出现无法搜索到该集合数据现象。",
|
||||
"params_config": "配置",
|
||||
"params_setting": "参数设置",
|
||||
"pdf_enhance_parse": "PDF增强解析",
|
||||
"pdf_enhance_parse_price": "{{price}}积分/页",
|
||||
@@ -82,6 +100,14 @@
|
||||
"preview_chunk_empty": "无法读取该文件内容",
|
||||
"preview_chunk_intro": "共 {{total}} 个分块，最多展示 10 个",
|
||||
"preview_chunk_not_selected": "点击左侧文件后进行预览",
|
||||
"process.Auto_Index": "自动索引生成",
|
||||
"process.Get QA": "问答对提取",
|
||||
"process.Image_Index": "图片索引生成",
|
||||
"process.Is_Ready": "已就绪",
|
||||
"process.Is_Ready_Count": "{{count}} 组已就绪",
|
||||
"process.Parsing": "内容解析中",
|
||||
"process.Vectorizing": "索引向量化",
|
||||
"process.Waiting": "排队中",
|
||||
"rebuild_embedding_start_tip": "切换索引模型任务已开始",
|
||||
"rebuilding_index_count": "重建中索引数量：{{count}}",
|
||||
"request_headers": "请求头参数，会自动补充 Bearer",
|
||||
@@ -99,6 +125,7 @@
|
||||
"split_sign_question": "问号",
|
||||
"split_sign_semicolon": "分号",
|
||||
"start_sync_website_tip": "确认开始同步数据？将会删除旧数据后重新获取，请确认！",
|
||||
"status_error": "运行异常",
|
||||
"sync_collection_failed": "同步集合错误，请检查是否能正常访问源文件",
|
||||
"sync_schedule": "定时同步",
|
||||
"sync_schedule_tip": "仅会同步已存在的集合。包括链接集合以及 API 知识库里所有集合。系统会每天进行轮询更新，无法确定具体的更新时间。",
|
||||
@@ -114,11 +141,15 @@
|
||||
"tag.total_tags": "共{{total}}个标签",
|
||||
"the_knowledge_base_has_indexes_that_are_being_trained_or_being_rebuilt": "知识库有训练中或正在重建的索引",
|
||||
"total_num_files": "共 {{total}} 个文件",
|
||||
"training.Error": "{{count}} 组异常",
|
||||
"training.Normal": "正常",
|
||||
"training_mode": "处理方式",
|
||||
"training_ready": "{{count}} 组",
|
||||
"vector_model_max_tokens_tip": "每个分块数据，最大长度为 3000 tokens",
|
||||
"vllm_model": "图片理解模型",
|
||||
"website_dataset": "Web 站点同步",
|
||||
"website_dataset_desc": "Web 站点同步允许你直接使用一个网页链接构建知识库",
|
||||
"website_info": "网站信息",
|
||||
"yuque_dataset": "语雀知识库",
|
||||
"yuque_dataset_config": "配置语雀知识库",
|
||||
"yuque_dataset_desc": "可通过配置语雀文档权限，使用语雀文档构建知识库，文档不会进行二次存储"
|
||||
|
||||
@@ -3,6 +3,7 @@
|
||||
"Delete_all": "清除所有詞彙",
|
||||
"LLM_model_response_empty": "模型流程回應為空，請檢查模型流程輸出是否正常",
|
||||
"ai_reasoning": "思考過程",
|
||||
"back_to_text": "返回輸入",
|
||||
"chat.quote.No Data": "找不到該文件",
|
||||
"chat.quote.deleted": "該數據已被刪除～",
|
||||
"chat_history": "對話紀錄",
|
||||
@@ -10,6 +11,14 @@
|
||||
"chat_test_app": "調試-{{name}}",
|
||||
"citations": "{{num}} 筆引用",
|
||||
"click_contextual_preview": "點選檢視上下文預覽",
|
||||
"completion_finish_close": "連接斷開",
|
||||
"completion_finish_content_filter": "觸發安全風控",
|
||||
"completion_finish_function_call": "函數調用",
|
||||
"completion_finish_length": "超出回复限制",
|
||||
"completion_finish_null": "未知",
|
||||
"completion_finish_reason": "完成原因",
|
||||
"completion_finish_stop": "正常完成",
|
||||
"completion_finish_tool_calls": "工具調用",
|
||||
"config_input_guide": "設定輸入導引",
|
||||
"config_input_guide_lexicon": "設定詞彙庫",
|
||||
"config_input_guide_lexicon_title": "設定詞彙庫",
|
||||
@@ -35,16 +44,20 @@
|
||||
"is_chatting": "對話進行中...請稍候",
|
||||
"items": "筆",
|
||||
"module_runtime_and": "模組執行總時間",
|
||||
"moveCancel": "上滑取消",
|
||||
"multiple_AI_conversations": "多組 AI 對話",
|
||||
"new_input_guide_lexicon": "新增詞彙庫",
|
||||
"no_workflow_response": "無工作流程資料",
|
||||
"not_query": "缺少查詢內容",
|
||||
"not_select_file": "尚未選取檔案",
|
||||
"plugins_output": "外掛程式輸出",
|
||||
"press_to_speak": "按住說話",
|
||||
"query_extension_IO_tokens": "問題優化輸入/輸出 Tokens",
|
||||
"question_tip": "由上至下，各個模組的回應順序",
|
||||
"read_raw_source": "打開原文",
|
||||
"reasoning_text": "思考過程",
|
||||
"release_cancel": "鬆開取消",
|
||||
"release_send": "鬆開發送，上滑取消",
|
||||
"response.child total points": "子工作流程點數消耗",
|
||||
"response.dataset_concat_length": "合併總數",
|
||||
"response.node_inputs": "節點輸入",
|
||||
@@ -53,6 +66,7 @@
|
||||
"select_file": "上傳檔案",
|
||||
"select_file_img": "上傳檔案 / 圖片",
|
||||
"select_img": "上傳圖片",
|
||||
"shortSpeak ": "說話時間太短",
|
||||
"source_cronJob": "定時執行",
|
||||
"stream_output": "串流輸出",
|
||||
"to_dataset": "前往知識庫",
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
{
|
||||
"App": "應用程式",
|
||||
"Click_to_expand": "點擊查看詳情",
|
||||
"Download": "下載",
|
||||
"Export": "匯出",
|
||||
"FAQ.ai_point_a": "每次呼叫 AI 模型時，都會消耗一定數量的 AI 點數。詳細的計算標準請參考上方的「AI 點數計算標準」。\nToken 計算採用與 GPT3.5 相同的公式，1 Token ≈ 0.7 個中文字 ≈ 0.9 個英文單字，連續出現的字元可能會被視為 1 個 Token。",
|
||||
@@ -510,7 +511,7 @@
|
||||
"core.dataset.Query extension intro": "開啟問題最佳化功能，可以提高連續對話時知識庫搜尋的準確度。開啟此功能後，在進行知識庫搜尋時，系統會根據對話記錄，利用 AI 補充問題中缺少的資訊。",
|
||||
"core.dataset.Quote Length": "引用內容長度",
|
||||
"core.dataset.Read Dataset": "檢視知識庫詳細資料",
|
||||
"core.dataset.Set Website Config": "開始設定網站資訊",
|
||||
"core.dataset.Set Website Config": "開始設定",
|
||||
"core.dataset.Start export": "已開始匯出",
|
||||
"core.dataset.Table collection": "表格資料集",
|
||||
"core.dataset.Text collection": "文字資料集",
|
||||
@@ -526,7 +527,6 @@
|
||||
"core.dataset.collection.Website Empty Tip": "還沒有關聯網站",
|
||||
"core.dataset.collection.Website Link": "網站網址",
|
||||
"core.dataset.collection.id": "集合 ID",
|
||||
"core.dataset.collection.metadata.Chunk Size": "分割大小",
|
||||
"core.dataset.collection.metadata.Createtime": "建立時間",
|
||||
"core.dataset.collection.metadata.Raw text length": "原始文字長度",
|
||||
"core.dataset.collection.metadata.Updatetime": "更新時間",
|
||||
@@ -537,6 +537,7 @@
|
||||
"core.dataset.collection.metadata.source name": "來源名稱",
|
||||
"core.dataset.collection.metadata.source size": "來源大小",
|
||||
"core.dataset.collection.status.active": "已就緒",
|
||||
"core.dataset.collection.status.error": "訓練異常",
|
||||
"core.dataset.collection.sync.result.sameRaw": "內容未變更，無需更新",
|
||||
"core.dataset.collection.sync.result.success": "開始同步",
|
||||
"core.dataset.data.Data Content": "相關資料內容",
|
||||
@@ -627,6 +628,7 @@
|
||||
"core.dataset.search.search mode": "搜索方式",
|
||||
"core.dataset.status.active": "已就緒",
|
||||
"core.dataset.status.syncing": "同步中",
|
||||
"core.dataset.status.waiting": "排队中",
|
||||
"core.dataset.test.Batch test": "批次測試",
|
||||
"core.dataset.test.Batch test Placeholder": "選擇一個 CSV 檔案",
|
||||
"core.dataset.test.Search Test": "搜尋測試",
|
||||
|
||||
@@ -7,6 +7,7 @@
|
||||
"auto_indexes_tips": "通過大模型進行額外索引生成，提高語義豐富度，提高檢索的精度。",
|
||||
"auto_training_queue": "增強索引排隊",
|
||||
"chunk_max_tokens": "分塊上限",
|
||||
"chunk_size": "分塊大小",
|
||||
"close_auto_sync": "確認關閉自動同步功能？",
|
||||
"collection.Create update time": "建立／更新時間",
|
||||
"collection.Training type": "分段模式",
|
||||
@@ -28,9 +29,24 @@
|
||||
"custom_data_process_params_desc": "自訂資料處理規則",
|
||||
"custom_split_sign_tip": "允許你根據自定義的分隔符進行分塊。\n通常用於已處理好的數據，使用特定的分隔符來精確分塊。\n可以使用 | 符號表示多個分割符，例如：“。|.” 表示中英文句號。\n\n盡量避免使用正則相關特殊符號，例如: * () [] {} 等。",
|
||||
"data_amount": "{{dataAmount}} 組數據, {{indexAmount}} 組索引",
|
||||
"data_error_amount": "{{errorAmount}} 組訓練異常",
|
||||
"data_index_num": "索引 {{index}}",
|
||||
"data_process_params": "處理參數",
|
||||
"data_process_setting": "資料處理設定",
|
||||
"dataset.Chunk_Number": "分塊號",
|
||||
"dataset.Completed": "完成",
|
||||
"dataset.Delete_Chunk": "刪除",
|
||||
"dataset.Edit_Chunk": "編輯",
|
||||
"dataset.Error_Message": "報錯信息",
|
||||
"dataset.No_Error": "暫無異常信息",
|
||||
"dataset.Operation": "操作",
|
||||
"dataset.ReTrain": "重試",
|
||||
"dataset.Training Process": "訓練狀態",
|
||||
"dataset.Training_Count": "{{count}} 組訓練中",
|
||||
"dataset.Training_Errors": "異常",
|
||||
"dataset.Training_QA": "{{count}} 組問答對訓練中",
|
||||
"dataset.Training_Status": "訓練狀態",
|
||||
"dataset.Training_Waiting": "需等待 {{count}} 組數據",
|
||||
"dataset.Unsupported operation": "操作不支持",
|
||||
"dataset.no_collections": "尚無資料集",
|
||||
"dataset.no_tags": "尚無標籤",
|
||||
@@ -55,6 +71,7 @@
|
||||
"image_auto_parse": "圖片自動索引",
|
||||
"image_auto_parse_tips": "調用 VLM 自動標註文檔裡的圖片，並生成額外的檢索索引",
|
||||
"image_training_queue": "圖片處理排隊",
|
||||
"immediate_sync": "立即同步",
|
||||
"import.Auto mode Estimated Price Tips": "需呼叫文字理解模型，將消耗較多 AI 點數：{{price}} 點數 / 1K tokens",
|
||||
"import.Embedding Estimated Price Tips": "僅使用索引模型，消耗少量 AI 點數：{{price}} 點數 / 1K tokens",
|
||||
"import_confirm": "確認上傳",
|
||||
@@ -71,6 +88,7 @@
|
||||
"keep_image": "保留圖片",
|
||||
"move.hint": "移動後，所選資料集／資料夾將繼承新資料夾的權限設定，原先的權限設定將失效。",
|
||||
"open_auto_sync": "開啟定時同步後，系統將每天不定時嘗試同步集合，集合同步期間，會出現無法搜尋到該集合資料現象。",
|
||||
"params_config": "配置",
|
||||
"params_setting": "參數設置",
|
||||
"pdf_enhance_parse": "PDF增強解析",
|
||||
"pdf_enhance_parse_price": "{{price}}積分/頁",
|
||||
@@ -82,6 +100,13 @@
|
||||
"preview_chunk_empty": "無法讀取該文件內容",
|
||||
"preview_chunk_intro": "共 {{total}} 個分塊，最多展示 10 個",
|
||||
"preview_chunk_not_selected": "點擊左側文件後進行預覽",
|
||||
"process.Auto_Index": "自動索引生成",
|
||||
"process.Get QA": "問答對提取",
|
||||
"process.Image_Index": "圖片索引生成",
|
||||
"process.Is_Ready": "已就緒",
|
||||
"process.Parsing": "內容解析中",
|
||||
"process.Vectorizing": "索引向量化",
|
||||
"process.Waiting": "排隊中",
|
||||
"rebuild_embedding_start_tip": "切換索引模型任務已開始",
|
||||
"rebuilding_index_count": "重建中索引數量：{{count}}",
|
||||
"request_headers": "請求頭",
|
||||
@@ -99,6 +124,7 @@
|
||||
"split_sign_question": "問號",
|
||||
"split_sign_semicolon": "分號",
|
||||
"start_sync_website_tip": "確認開始同步資料？\n將會刪除舊資料後重新獲取，請確認！",
|
||||
"status_error": "運行異常",
|
||||
"sync_collection_failed": "同步集合錯誤，請檢查是否能正常存取來源文件",
|
||||
"sync_schedule": "定時同步",
|
||||
"sync_schedule_tip": "只會同步已存在的集合。\n包括連結集合以及 API 知識庫裡所有集合。\n系統會每天進行輪詢更新，無法確定特定的更新時間。",
|
||||
@@ -114,11 +140,15 @@
|
||||
"tag.total_tags": "共 {{total}} 個標籤",
|
||||
"the_knowledge_base_has_indexes_that_are_being_trained_or_being_rebuilt": "資料集有索引正在訓練或重建中",
|
||||
"total_num_files": "共 {{total}} 個文件",
|
||||
"training.Error": "{{count}} 組異常",
|
||||
"training.Normal": "正常",
|
||||
"training_mode": "分段模式",
|
||||
"training_ready": "{{count}} 組",
|
||||
"vector_model_max_tokens_tip": "每個分塊數據，最大長度為 3000 tokens",
|
||||
"vllm_model": "圖片理解模型",
|
||||
"website_dataset": "網站同步",
|
||||
"website_dataset_desc": "網站同步功能讓您可以直接使用網頁連結建立資料集",
|
||||
"website_info": "網站資訊",
|
||||
"yuque_dataset": "語雀知識庫",
|
||||
"yuque_dataset_config": "配置語雀知識庫",
|
||||
"yuque_dataset_desc": "可通過配置語雀文檔權限，使用語雀文檔構建知識庫，文檔不會進行二次存儲"
|
||||
|
||||
Reference in New Issue
Block a user