Fix: In the dark night theme, the message input box is not displayed correctly. #6950 (#6951)

### What problem does this PR solve?

Fix: In the dark night theme, the message input box is not displayed
correctly. #6950

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
balibabu 2025-04-11 12:37:16 +08:00 committed by GitHub
parent d9266ed65a
commit 056ea68e52
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
4 changed files with 11 additions and 8 deletions

View File

@ -1,7 +1,6 @@
.messageInputWrapper {
margin-right: 20px;
padding: '0px 0px 10px 0px';
background-color: #ffffff;
border: 1px solid #d9d9d9;
&:hover {
border-color: #40a9ff;

View File

@ -5,6 +5,7 @@ import {
useRemoveNextDocument,
useUploadAndParseDocument,
} from '@/hooks/document-hooks';
import { cn } from '@/lib/utils';
import { getExtension } from '@/utils/document-util';
import { formatBytes } from '@/utils/file-util';
import {
@ -222,7 +223,11 @@ const MessageInput = ({
}, [conversationId, setFileList]);
return (
<Flex gap={1} vertical className={styles.messageInputWrapper}>
<Flex
gap={1}
vertical
className={cn(styles.messageInputWrapper, 'dark:bg-black')}
>
<TextArea
size="large"
placeholder={t('sendPlaceholder')}

View File

@ -406,7 +406,7 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
createAssistant: 'Create an Assistant',
assistantSetting: 'Assistant settings',
promptEngine: 'Prompt engine',
modelSetting: 'Model Setting',
modelSetting: 'Model settings',
chat: 'Chat',
newChat: 'New chat',
send: 'Send',
@ -532,8 +532,7 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
locale: 'Locale',
selectLanguage: 'Select a language',
reasoning: 'Reasoning',
reasoningTip:
`Whether to enable a reasoning workflow during question answering, as seen in models like Deepseek-R1 or OpenAI o1. When enabled, this allows the model to access external knowledge and tackle complex questions in a step-by-step manner, leveraging techniques like chain-of-thought reasoning. This approach enhances the model's ability to provide accurate responses by breaking down problems into manageable steps, improving performance on tasks that require logical reasoning and multi-step thinking.`,
reasoningTip: `Whether to enable a reasoning workflow during question answering, as seen in models like Deepseek-R1 or OpenAI o1. When enabled, this allows the model to access external knowledge and tackle complex questions in a step-by-step manner, leveraging techniques like chain-of-thought reasoning. This approach enhances the model's ability to provide accurate responses by breaking down problems into manageable steps, improving performance on tasks that require logical reasoning and multi-step thinking.`,
tavilyApiKeyTip:
'If an API key is correctly set here, Tavily-based web searches will be used to supplement knowledge base retrieval.',
tavilyApiKeyMessage: 'Please enter your Tavily API Key',

View File

@ -37,9 +37,9 @@ const validateMessages = {
};
enum ConfigurationSegmented {
AssistantSetting = 'Assistant settings',
PromptEngine = 'Prompt engine',
ModelSetting = 'Model settings',
AssistantSetting = 'Assistant Setting',
PromptEngine = 'Prompt Engine',
ModelSetting = 'Model Setting',
}
const segmentedMap = {