{ // 获取包含Hugging Face文本的span元素 const spans = link.querySelectorAll('span.whitespace-nowrap, span.hidden.whitespace-nowrap'); spans.forEach(span => { if (span.textContent && span.textContent.trim().match(/Hugging\s*Face/i)) { span.textContent = 'AI快站'; } }); }); // 替换logo图片的alt属性 document.querySelectorAll('img[alt*="Hugging"], img[alt*="Face"]').forEach(img => { if (img.alt.match(/Hugging\s*Face/i)) { img.alt = 'AI快站 logo'; } }); } // 替换导航栏中的链接 function replaceNavigationLinks() { // 已替换标记,防止重复运行 if (window._navLinksReplaced) { return; } // 已经替换过的链接集合,防止重复替换 const replacedLinks = new Set(); // 只在导航栏区域查找和替换链接 const headerArea = document.querySelector('header') || document.querySelector('nav'); if (!headerArea) { return; } // 在导航区域内查找链接 const navLinks = headerArea.querySelectorAll('a'); navLinks.forEach(link => { // 如果已经替换过,跳过 if (replacedLinks.has(link)) return; const linkText = link.textContent.trim(); const linkHref = link.getAttribute('href') || ''; // 替换Spaces链接 - 仅替换一次 if ( (linkHref.includes('/spaces') || linkHref === '/spaces' || linkText === 'Spaces' || linkText.match(/^s*Spacess*$/i)) && linkText !== '免费Z-image图片生成' && linkText !== '免费Z-image图片生成' ) { link.textContent = '免费Z-image图片生成'; link.href = 'https://zimage.run'; link.setAttribute('target', '_blank'); link.setAttribute('rel', 'noopener noreferrer'); replacedLinks.add(link); } // 删除Posts链接 else if ( (linkHref.includes('/posts') || linkHref === '/posts' || linkText === 'Posts' || linkText.match(/^s*Postss*$/i)) ) { if (link.parentNode) { link.parentNode.removeChild(link); } replacedLinks.add(link); } // 替换Docs链接 - 仅替换一次 else if ( (linkHref.includes('/docs') || linkHref === '/docs' || linkText === 'Docs' || linkText.match(/^s*Docss*$/i)) && linkText !== 'Vibevoice' ) { link.textContent = 'Vibevoice'; link.href = 'https://vibevoice.info/'; replacedLinks.add(link); } // 替换Pricing链接 - 仅替换一次 else if ( (linkHref.includes('/pricing') || linkHref === '/pricing' || linkText === 'Pricing' || linkText.match(/^s*Pricings*$/i)) && linkText !== '免费去水印' ) { link.textContent = '免费去水印'; link.href = 'https://sora2watermarkremover.net/'; replacedLinks.add(link); } // 替换Enterprise链接 else if ( (linkHref.includes('/enterprise') || linkHref === '/enterprise' || linkText === 'Enterprise' || linkText.match(/^s*Enterprises*$/i)) && linkText !== 'LTX-2' ) { link.textContent = 'LTX-2'; link.href = 'https://ltx-2.run/'; replacedLinks.add(link); } }); // 查找可能嵌套的Spaces和Posts文本 const textNodes = []; function findTextNodes(element) { if (element.nodeType === Node.TEXT_NODE) { const text = element.textContent.trim(); if (text === 'Spaces' || text === 'Posts' || text === 'Enterprise') { textNodes.push(element); } } else { for (const child of element.childNodes) { findTextNodes(child); } } } // 只在导航区域内查找文本节点 findTextNodes(headerArea); // 替换找到的文本节点 textNodes.forEach(node => { const text = node.textContent.trim(); if (text === 'Spaces') { node.textContent = node.textContent.replace(/Spaces/g, '免费Z-image图片生成'); } else if (text === 'Posts') { // 删除Posts文本节点 if (node.parentNode) { node.parentNode.removeChild(node); } } else if (text === 'Enterprise') { // 删除Enterprise文本节点 if (node.parentNode) { node.parentNode.removeChild(node); } } }); // 标记已替换完成 window._navLinksReplaced = true; } // 替换代码区域中的域名 function replaceCodeDomains() { // 特别处理span.hljs-string和span.njs-string元素 document.querySelectorAll('span.hljs-string, span.njs-string, span[class*="hljs-string"], span[class*="njs-string"]').forEach(span => { if (span.textContent && span.textContent.includes('huggingface.co')) { span.textContent = span.textContent.replace(/huggingface.co/g, 'aifasthub.com'); } }); // 替换hljs-string类的span中的域名(移除多余的转义符号) document.querySelectorAll('span.hljs-string, span[class*="hljs-string"]').forEach(span => { if (span.textContent && span.textContent.includes('huggingface.co')) { span.textContent = span.textContent.replace(/huggingface.co/g, 'aifasthub.com'); } }); // 替换pre和code标签中包含git clone命令的域名 document.querySelectorAll('pre, code').forEach(element => { if (element.textContent && element.textContent.includes('git clone')) { const text = element.innerHTML; if (text.includes('huggingface.co')) { element.innerHTML = text.replace(/huggingface.co/g, 'aifasthub.com'); } } }); // 处理特定的命令行示例 document.querySelectorAll('pre, code').forEach(element => { const text = element.innerHTML; if (text.includes('huggingface.co')) { // 针对git clone命令的专门处理 if (text.includes('git clone') || text.includes('GIT_LFS_SKIP_SMUDGE=1')) { element.innerHTML = text.replace(/huggingface.co/g, 'aifasthub.com'); } } }); // 特别处理模型下载页面上的代码片段 document.querySelectorAll('.flex.border-t, .svelte_hydrator, .inline-block').forEach(container => { const content = container.innerHTML; if (content && content.includes('huggingface.co')) { container.innerHTML = content.replace(/huggingface.co/g, 'aifasthub.com'); } }); // 特别处理模型仓库克隆对话框中的代码片段 try { // 查找包含"Clone this model repository"标题的对话框 const cloneDialog = document.querySelector('.svelte_hydration_boundary, [data-target="MainHeader"]'); if (cloneDialog) { // 查找对话框中所有的代码片段和命令示例 const codeElements = cloneDialog.querySelectorAll('pre, code, span'); codeElements.forEach(element => { if (element.textContent && element.textContent.includes('huggingface.co')) { if (element.innerHTML.includes('huggingface.co')) { element.innerHTML = element.innerHTML.replace(/huggingface.co/g, 'aifasthub.com'); } else { element.textContent = element.textContent.replace(/huggingface.co/g, 'aifasthub.com'); } } }); } // 更精确地定位克隆命令中的域名 document.querySelectorAll('[data-target]').forEach(container => { const codeBlocks = container.querySelectorAll('pre, code, span.hljs-string'); codeBlocks.forEach(block => { if (block.textContent && block.textContent.includes('huggingface.co')) { if (block.innerHTML.includes('huggingface.co')) { block.innerHTML = block.innerHTML.replace(/huggingface.co/g, 'aifasthub.com'); } else { block.textContent = block.textContent.replace(/huggingface.co/g, 'aifasthub.com'); } } }); }); } catch (e) { // 错误处理但不打印日志 } } // 当DOM加载完成后执行替换 if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', () => { replaceHeaderBranding(); replaceNavigationLinks(); replaceCodeDomains(); // 只在必要时执行替换 - 3秒后再次检查 setTimeout(() => { if (!window._navLinksReplaced) { console.log('[Client] 3秒后重新检查导航链接'); replaceNavigationLinks(); } }, 3000); }); } else { replaceHeaderBranding(); replaceNavigationLinks(); replaceCodeDomains(); // 只在必要时执行替换 - 3秒后再次检查 setTimeout(() => { if (!window._navLinksReplaced) { console.log('[Client] 3秒后重新检查导航链接'); replaceNavigationLinks(); } }, 3000); } // 增加一个MutationObserver来处理可能的动态元素加载 const observer = new MutationObserver(mutations => { // 检查是否导航区域有变化 const hasNavChanges = mutations.some(mutation => { // 检查是否存在header或nav元素变化 return Array.from(mutation.addedNodes).some(node => { if (node.nodeType === Node.ELEMENT_NODE) { // 检查是否是导航元素或其子元素 if (node.tagName === 'HEADER' || node.tagName === 'NAV' || node.querySelector('header, nav')) { return true; } // 检查是否在导航元素内部 let parent = node.parentElement; while (parent) { if (parent.tagName === 'HEADER' || parent.tagName === 'NAV') { return true; } parent = parent.parentElement; } } return false; }); }); // 只在导航区域有变化时执行替换 if (hasNavChanges) { // 重置替换状态,允许再次替换 window._navLinksReplaced = false; replaceHeaderBranding(); replaceNavigationLinks(); } }); // 开始观察document.body的变化,包括子节点 if (document.body) { observer.observe(document.body, { childList: true, subtree: true }); } else { document.addEventListener('DOMContentLoaded', () => { observer.observe(document.body, { childList: true, subtree: true }); }); } })(); \\n\\n\\n\\n-------\\n\\nRequirements:\\n- Output must be a single line of HTML\\n- Enhanced with modern Tailwind CSS styling\\n- Proper HTML list structures\\n- Responsive design\\n- No newlines except
in content\\n- No markdown formatting\\n- Clean, readable layout\\n- Properly formatted hashtags\\n- No explanation or additional text in output\\n- No code block markers or escape characters\\n- Wnsure Metadata, Title and Content are included in HTML\\n\\nMetadata: {{ $('Article').item.json.article.metadata.toJsonString() }}\\nTitle: {{ $json.title }}\\nContent: {{ $json.html }}\\n\", \"promptType\": \"define\"}, \"typeVersion\": 1.4}, {\"id\": \"cddd9324-8471-4dcb-a46b-836015db9833\", \"name\": \"Do Nothing1\", \"type\": \"n8n-nodes-base.noOp\", \"position\": [560, 1080], \"parameters\": {}, \"typeVersion\": 1}, {\"id\": \"432a0ae9-451a-4830-b065-8b0593de92ea\", \"name\": \"gpt-4o-mini3\", \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\", \"position\": [1020, 1040], \"parameters\": {\"options\": {\"topP\": 1, \"timeout\": 60000, \"maxTokens\": -1, \"maxRetries\": 2, \"temperature\": 0, \"responseFormat\": \"text\", \"presencePenalty\": 0, \"frequencyPenalty\": 0}}, \"credentials\": {\"openAiApi\": {\"id\": \"h597GY4ZJQD47RQd\", \"name\": \"OpenAi account\"}}, \"typeVersion\": 1}, {\"id\": \"55e00886-b6c1-4f7a-81ae-e8e0d4102cab\", \"name\": \"Sticky Note4\", \"type\": \"n8n-nodes-base.stickyNote\", \"position\": [2200, 1360], \"parameters\": {\"color\": 6, \"width\": 531, \"height\": 465, \"content\": \"## Create HTML Page with TailwindCSS Styling\"}, \"typeVersion\": 1}, {\"id\": \"1ed7f754-1279-4511-a085-6ed4e4c36de1\", \"name\": \"Sticky Note2\", \"type\": \"n8n-nodes-base.stickyNote\", \"position\": [320, 760], \"parameters\": {\"width\": 450.54438902818094, \"height\": 489.5271576259337, \"content\": \"## Parse Topic from Get Request\"}, \"typeVersion\": 1}, {\"id\": \"e9dcb568-7f8d-40c5-94cb-6f25386436cf\", \"name\": \"Sticky Note5\", \"type\": \"n8n-nodes-base.stickyNote\", \"position\": [820, 760], \"parameters\": {\"color\": 5, \"width\": 380, \"height\": 488, \"content\": \"## Improve the Users Topic\"}, \"typeVersion\": 1}, {\"id\": \"a7fdaddb-d6fc-4d45-85cc-a372cfb90327\", \"name\": \"If2\", \"type\": \"n8n-nodes-base.if\", \"position\": [2120, 1140], \"parameters\": {\"options\": {}, \"conditions\": {\"options\": {\"version\": 2, \"leftValue\": \"\", \"caseSensitive\": true, \"typeValidation\": \"strict\"}, \"combinator\": \"and\", \"conditions\": [{\"id\": \"8e35de0a-ac16-4555-94f4-24e97bdf4b33\", \"operator\": {\"type\": \"string\", \"operation\": \"notEmpty\", \"singleValue\": true}, \"leftValue\": \"{{ $json.output }}\", \"rightValue\": \"\"}]}}, \"typeVersion\": 2.2}, {\"id\": \"57d056b8-7e91-41e4-8b74-dce15847a09b\", \"name\": \"Prompts\", \"type\": \"n8n-nodes-base.set\", \"position\": [1300, 2080], \"parameters\": {\"options\": {}, \"assignments\": {\"assignments\": [{\"id\": \"efbe7563-8502-407e-bfa0-a4a26d8cddd4\", \"name\": \"user\", \"type\": \"string\", \"value\": \"={{ $('Execute Workflow Trigger').item.json.topic }}\"}, {\"id\": \"05e0b629-bb9f-4010-96a8-10872764705a\", \"name\": \"system\", \"type\": \"string\", \"value\": \"Assistant is a large language model. Assistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand. Assistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics. Overall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist. \"}]}}, \"typeVersion\": 3.4}, {\"id\": \"8209cece-fde4-485f-81a1-2d24a6eac474\", \"name\": \"Execute Workflow Trigger\", \"type\": \"n8n-nodes-base.executeWorkflowTrigger\", \"position\": [420, 2180], \"parameters\": {}, \"typeVersion\": 1}, {\"id\": \"445e4d15-c2b0-4152-a0f8-d6b93ad5bae6\", \"name\": \"Telegram2\", \"type\": \"n8n-nodes-base.telegram\", \"position\": [860, 2180], \"parameters\": {\"text\": \"={{ $('Execute Workflow Trigger').item.json.topic }}\", \"chatId\": \"={{ $json.telegram_chat_id }}\", \"additionalFields\": {\"parse_mode\": \"HTML\", \"appendAttribution\": false}}, \"credentials\": {\"telegramApi\": {\"id\": \"BIE64nzfpGeesXUn\", \"name\": \"Telegram account\"}}, \"typeVersion\": 1.2}, {\"id\": \"57a5b3ce-5490-4d50-91cc-c36e508eee4d\", \"name\": \"If\", \"type\": \"n8n-nodes-base.if\", \"position\": [1080, 2180], \"parameters\": {\"options\": {}, \"conditions\": {\"options\": {\"version\": 2, \"leftValue\": \"\", \"caseSensitive\": true, \"typeValidation\": \"strict\"}, \"combinator\": \"and\", \"conditions\": [{\"id\": \"7e2679dc-c898-415d-a693-c2c1e7259b6a\", \"operator\": {\"type\": \"string\", \"operation\": \"notContains\"}, \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.topic }}\", \"rightValue\": \"undefined\"}]}}, \"typeVersion\": 2.2}, {\"id\": \"fdf827dc-96b1-4ed3-895b-2a0f5f4c41a3\", \"name\": \"No Operation, do nothing\", \"type\": \"n8n-nodes-base.noOp\", \"position\": [1300, 2300], \"parameters\": {}, \"typeVersion\": 1}, {\"id\": \"944aa564-f449-47a6-9d9c-c20a48946ab6\", \"name\": \"Sticky Note6\", \"type\": \"n8n-nodes-base.stickyNote\", \"position\": [320, 1940], \"parameters\": {\"color\": 5, \"width\": 1614, \"height\": 623, \"content\": \"## 🛠️perplexity_research_tool\\n\\n\"}, \"typeVersion\": 1}, {\"id\": \"3806c079-8c08-48b7-a3ed-a26f6d86c67f\", \"name\": \"Perplexity Topic Agent\", \"type\": \"@n8n/n8n-nodes-langchain.agent\", \"position\": [1580, 860], \"parameters\": {\"text\": \"=Topic: {{ $json.text }}\", \"options\": {\"systemMessage\": \"Use the perplexity_research_tool to provide research on the users topic.\\n\\n\"}, \"promptType\": \"define\", \"hasOutputParser\": true}, \"typeVersion\": 1.6}, {\"id\": \"cfc55dbb-78e6-47ef-bf55-810311bd37e8\", \"name\": \"Call Perplexity Researcher\", \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\", \"position\": [1780, 1040], \"parameters\": {\"name\": \"perplexity_research_tool\", \"fields\": {\"values\": [{\"name\": \"topic\", \"stringValue\": \"= {{ $json.text }}\"}]}, \"workflowId\": {\"__rl\": true, \"mode\": \"id\", \"value\": \"HnqGW0eq5asKfZxf\"}, \"description\": \"Call this tool to perform Perplexity research.\", \"jsonSchemaExample\": \"{\\n \\\"topic\\\": \\\"\\\"\\n}\"}, \"typeVersion\": 1.2}, {\"id\": \"5ca35a40-506d-4768-a65c-a331718040bc\", \"name\": \"Do Nothing\", \"type\": \"n8n-nodes-base.noOp\", \"position\": [2320, 1140], \"parameters\": {}, \"typeVersion\": 1}, {\"id\": \"17028837-4706-43f3-8291-f150860caa4c\", \"name\": \"Do Nothing2\", \"type\": \"n8n-nodes-base.noOp\", \"position\": [1020, 1700], \"parameters\": {}, \"typeVersion\": 1}, {\"id\": \"adebf1ad-62d9-4b79-b9a1-4a9395067803\", \"name\": \"Do Nothing3\", \"type\": \"n8n-nodes-base.noOp\", \"position\": [2000, 1700], \"parameters\": {}, \"typeVersion\": 1}, {\"id\": \"fe19e472-3b2b-4c07-b957-fb2afc426998\", \"name\": \"Do Nothing4\", \"type\": \"n8n-nodes-base.noOp\", \"position\": [1260, 1080], \"parameters\": {}, \"typeVersion\": 1}, {\"id\": \"41e23462-a7fa-42a8-adbc-83a662f63f0c\", \"name\": \"Sticky Note7\", \"type\": \"n8n-nodes-base.stickyNote\", \"position\": [1460, 760], \"parameters\": {\"color\": 3, \"width\": 480, \"height\": 488, \"content\": \"## 🤖Perform Perplexity Research\"}, \"typeVersion\": 1}, {\"id\": \"dcc3bd83-1f8c-4000-a832-c2c6e7c157ba\", \"name\": \"Get Topic\", \"type\": \"n8n-nodes-base.set\", \"position\": [380, 860], \"parameters\": {\"options\": {}, \"assignments\": {\"assignments\": [{\"id\": \"57f0eab2-ef1b-408c-82d5-a8c54c4084a6\", \"name\": \"topic\", \"type\": \"string\", \"value\": \"={{ $json.query.topic }}\"}]}}, \"typeVersion\": 3.4}, {\"id\": \"5572e5b1-0b4c-4e6d-b413-5592aab59571\", \"name\": \"If Topic Exists\", \"type\": \"n8n-nodes-base.if\", \"position\": [560, 860], \"parameters\": {\"options\": {}, \"conditions\": {\"options\": {\"version\": 2, \"leftValue\": \"\", \"caseSensitive\": true, \"typeValidation\": \"strict\"}, \"combinator\": \"and\", \"conditions\": [{\"id\": \"2c565aa5-0d11-47fb-8621-6db592579fa8\", \"operator\": {\"type\": \"string\", \"operation\": \"notEmpty\", \"singleValue\": true}, \"leftValue\": \"={{ $json.topic }}\", \"rightValue\": \"\"}]}}, \"typeVersion\": 2.2}, {\"id\": \"509ee61f-defb-41e8-84cf-70ac5a7448d0\", \"name\": \"Improve Users Topic\", \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\", \"position\": [880, 860], \"parameters\": {\"text\": \"=How would you improve the following prompt as of {{ $now }}, focusing on:\\n\\n1. Key Concepts & Definitions\\n - Main terminology and foundational concepts\\n - Technical background and context\\n\\n2. Core Components\\n - Essential elements and their relationships\\n - Critical processes and workflows\\n\\n3. Practical Applications\\n - Real-world use cases\\n - Implementation considerations\\n\\n4. Analysis & Insights\\n - Advantages and limitations\\n - Best practices and recommendations\\n\\nThe final output should be a maximum 2 sentence pure text prompt without any preamble or further explanation. The final output will be providced to Perplexity as a research prompt.\\n\\nPrompt to analyze: {{ $json.topic }}\", \"promptType\": \"define\"}, \"typeVersion\": 1.4}, {\"id\": \"69ee4c6a-f6ef-47a2-bd5c-ccaf49ec7c94\", \"name\": \"If Topic\", \"type\": \"n8n-nodes-base.if\", \"position\": [1260, 860], \"parameters\": {\"options\": {}, \"conditions\": {\"options\": {\"version\": 2, \"leftValue\": \"\", \"caseSensitive\": true, \"typeValidation\": \"strict\"}, \"combinator\": \"and\", \"conditions\": [{\"id\": \"329653d4-330f-4b41-96e7-4652c1448902\", \"operator\": {\"type\": \"string\", \"operation\": \"notEmpty\", \"singleValue\": true}, \"leftValue\": \"={{ $json.text }}\", \"rightValue\": \"\"}]}}, \"typeVersion\": 2.2}, {\"id\": \"daa3027b-774d-44b1-b0a5-27008768c65d\", \"name\": \"Chat Id\", \"type\": \"n8n-nodes-base.set\", \"position\": [2120, 880], \"parameters\": {\"options\": {}, \"assignments\": {\"assignments\": [{\"id\": \"0aa8fcc9-26f4-485c-8fc1-a5c13d0dd279\", \"name\": \"telegram_chat_id\", \"type\": \"number\", \"value\": 1234567890}]}}, \"typeVersion\": 3.4}, {\"id\": \"97f32ad1-f91e-4ccc-8248-d10da823b26a\", \"name\": \"Article\", \"type\": \"n8n-nodes-base.set\", \"position\": [780, 1480], \"parameters\": {\"options\": {}, \"assignments\": {\"assignments\": [{\"id\": \"0eb5952b-c133-4b63-8102-d4b8ec7b9b5a\", \"name\": \"article\", \"type\": \"object\", \"value\": \"={{ $json.output.article }}\"}]}}, \"typeVersion\": 3.4}, {\"id\": \"e223dee3-c79f-421d-b2b8-2f3551a45f71\", \"name\": \"Extract JSON\", \"type\": \"@n8n/n8n-nodes-langchain.agent\", \"position\": [440, 1480], \"parameters\": {\"text\": \"=Extract a JSON object from this content: {{ $json.output }}\", \"options\": {}, \"promptType\": \"define\", \"hasOutputParser\": true}, \"retryOnFail\": true, \"typeVersion\": 1.6}, {\"id\": \"de8aafb6-b05d-4278-8719-9b3c266fcf3a\", \"name\": \"If Article\", \"type\": \"n8n-nodes-base.if\", \"position\": [1020, 1480], \"parameters\": {\"options\": {}, \"conditions\": {\"options\": {\"version\": 2, \"leftValue\": \"\", \"caseSensitive\": true, \"typeValidation\": \"strict\"}, \"combinator\": \"and\", \"conditions\": [{\"id\": \"329653d4-330f-4b41-96e7-4652c1448902\", \"operator\": {\"type\": \"string\", \"operation\": \"notEmpty\", \"singleValue\": true}, \"leftValue\": \"{{ $json.article }}\", \"rightValue\": \"\"}]}}, \"typeVersion\": 2.2}, {\"id\": \"f9450b58-3b81-4b61-8cbf-2cdf5a2f56a0\", \"name\": \"Create HTML Article\", \"type\": \"@n8n/n8n-nodes-langchain.agent\", \"position\": [1360, 1480], \"parameters\": {\"text\": \"=Convert this verbatim into HTML: {{ $json.article.toJsonString() }}\\n\\n## Formatting Guidelines\\n- HTML document must be single line document without tabs or line breaks\\n- Use proper HTML tags throughout\\n- Do not use these tags: