Fix: Switch the default theme from light mode to dark mode and improve some styles #9869 (#10552)

### What problem does this PR solve?

Fix: Switch the default theme from light mode to dark mode and improve
some styles #9869
-Update UI component styles such as input boxes, tables, and prompt
boxes
-Optimize login page layout and style details
-Revise some of the wording, such as uniformly changing "data flow" to
"pipeline"
-Adjust the parser to support the markdown type

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

web/src/locales/en.ts

@@ -300,8 +300,8 @@ export default {
       dataFlowPlaceholder: 'Please select a pipeline.',
       buildItFromScratch: 'Build it from scratch',
       dataFlow: 'Pipeline',
-      parseType: 'Parse Type',
-      manualSetup: 'Manual Setup',
+      parseType: 'Ingestion pipeline',
+      manualSetup: 'Choose pipeline',
       builtIn: 'Built-in',
       titleDescription:
         'Update your knowledge base configuration here, particularly the chunking method.',
@@ -477,8 +477,9 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
       useGraphRagTip:
         'Construct a knowledge graph over file chunks of the current knowledge base to enhance multi-hop question-answering involving nested logic. See https://ragflow.io/docs/dev/construct_knowledge_graph for details.',
       graphRagMethod: 'Method',
-      graphRagMethodTip: `Light: (Default) Use prompts provided by github.com/HKUDS/LightRAG to extract entities and relationships. This option consumes fewer tokens, less memory, and fewer computational resources.</br>
-        General: Use prompts provided by github.com/microsoft/graphrag to extract entities and relationships`,
+      graphRagMethodTip: `
+      Light: (Default) Use prompts provided by github.com/HKUDS/LightRAG to extract entities and relationships. This option consumes fewer tokens, less memory, and fewer computational resources.</br>
+      General: Use prompts provided by github.com/microsoft/graphrag to extract entities and relationships`,
       resolution: 'Entity resolution',
       resolutionTip: `An entity deduplication switch. When enabled, the LLM will combine similar entities - e.g., '2025' and 'the year of 2025', or 'IT' and 'Information Technology' - to construct a more accurate graph`,
       community: 'Community reports',
@@ -1740,7 +1741,7 @@ This delimiter is used to split the input text into several text pieces echo of
       overlappedPercent: 'Overlapped percent (%)',
       searchMethod: 'Search method',
       searchMethodTip: `Defines how the content can be searched — by full-text, embedding, or both.
-The Tokenizer will store the content in the corresponding data structures for the selected methods.`,
+The Indexer will store the content in the corresponding data structures for the selected methods.`,
       begin: 'File',
       parserMethod: 'Parsing method',
       systemPrompt: 'System Prompt',

web/src/locales/zh.ts

@@ -268,25 +268,25 @@ export default {
           <br/>
           是否要继续？
       `,
-      extractRaptor: '从文档中提取Raptor',
+      extractRaptor: '从文档中提取RAPTOR',
       extractKnowledgeGraph: '从文档中提取知识图谱',
       filterPlaceholder: '请输入',
       fileFilterTip: '',
       fileFilter: '正则匹配表达式',
       setDefaultTip: '',
       setDefault: '设置默认',
-      eidtLinkDataPipeline: '编辑数据流',
+      eidtLinkDataPipeline: '编辑pipeline',
       linkPipelineSetTip: '管理与此数据集的数据管道链接',
       default: '默认',
-      dataPipeline: '数据流',
-      linkDataPipeline: '关联数据流',
+      dataPipeline: 'pipeline',
+      linkDataPipeline: '关联pipeline',
       enableAutoGenerate: '是否启用自动生成',
       teamPlaceholder: '请选择团队',
-      dataFlowPlaceholder: '请选择数据流',
+      dataFlowPlaceholder: '请选择pipeline',
       buildItFromScratch: '去Scratch构建',
-      dataFlow: '数据流',
-      parseType: '切片方法',
-      manualSetup: '手动设置',
+      dataFlow: 'pipeline',
+      parseType: 'Ingestion pipeline',
+      manualSetup: '选择pipeline',
       builtIn: '内置',
       titleDescription: '在这里更新您的知识库详细信息，尤其是切片方法。',
       name: '知识库名称',
@@ -1611,7 +1611,7 @@ General：实体和关系提取提示来自 GitHub - microsoft/graphrag：基于
       <p>要保留这些更改，请点击“重新运行”以重新运行当前阶段。</p> `,
       changeStepModalConfirmText: '继续切换',
       changeStepModalCancelText: '取消',
-      unlinkPipelineModalTitle: '解绑数据流',
+      unlinkPipelineModalTitle: '解绑pipeline',
       unlinkPipelineModalContent: `
       <p>一旦取消链接，该数据集将不再连接到当前数据管道。</p> 
       <p>正在解析的文件将继续解析，直到完成。</p>