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Update app/frontend/index.html
Browse files- app/frontend/index.html +164 -20
app/frontend/index.html
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<link rel="stylesheet" href="/static/style.css">
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</head>
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<body>
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</div>
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<div class="header-controls">
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<nav class="tabs" aria-label="Primary navigation">
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<div class="nav-dropdown">
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class="tab dropdown-toggle"
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aria-haspopup="true"
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aria-expanded="false"
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Demos
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</button>
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<div class="dropdown-menu" role="menu">
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<button class="tab dropdown-item active" data-tab="detector" role="menuitem">
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Detector
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<button class="tab dropdown-item" data-tab="chat" role="menuitem">
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Chatbot Guardrail
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</button>
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</div>
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<button class="tab nav-link" data-tab="about">
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About
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</button>
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</nav>
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<button id="theme-toggle" class="theme-icon-button" aria-label="Toggle theme">
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</button>
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</div>
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</div>
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<div id="detector-content" class="tab-content active">
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<!-- Disclaimer -->
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<div class="warning-card">
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</div>
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<!-- Model Selector -->
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rows="10"
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></textarea>
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<button id="analyze-btn" class="btn btn-primary">
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Analyze
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</div>
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<!-- Binary Score -->
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<div id="binary-result" class="binary-placeholder">
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<p>Enter text to analyze</p>
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</div>
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<p class="feedback-prompt">Does this look correct?</p>
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<div class="feedback-buttons">
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<button id="thumbs-up" class="btn btn-success">
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Yes
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<button id="thumbs-down" class="btn btn-secondary">
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No
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</div>
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<div id="chat-content" class="tab-content full-width-section">
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<!-- Disclaimer -->
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<div class="warning-card">
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</div>
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<!-- Model Selector for Guardrail -->
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<!-- No Moderation -->
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<div class="chat-panel">
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<div class="chat-header">
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<h4>No Moderation</h4>
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<div id="chat-no-mod" class="chat-messages"></div>
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<!-- OpenAI Moderation -->
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<div class="chat-panel">
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<div class="chat-header">
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<h4>OpenAI Moderation</h4>
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</div>
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<div id="chat-openai" class="chat-messages"></div>
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<!-- Lionguard -->
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<div class="chat-panel">
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<div class="chat-header">
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<h4>Lionguard</h4>
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</div>
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<div id="chat-lionguard" class="chat-messages"></div>
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<section class="about-resources-grid">
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<!-- Models -->
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<div class="resource-card">
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<h3
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<div class="resource-list">
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<a href="https://huggingface.co/govtech/lionguard-2.1" target="_blank">Lionguard 2.1</a>
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<a href="https://huggingface.co/govtech/lionguard-2" target="_blank">Lionguard 2</a>
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<!-- Datasets -->
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<div class="resource-card">
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<h3
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<div class="resource-list">
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<a href="https://huggingface.co/datasets/govtech/lionguard-2-synthetic-instruct" target="_blank">Subset of Training Data</a>
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<a href="https://huggingface.co/datasets/govtech/RabakBench" target="_blank">RabakBench</a>
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<!-- Blog Posts -->
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<div class="resource-card">
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<h3
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<div class="resource-list">
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<a href="https://medium.com/dsaid-govtech/lionguard-2-8066d4e20d16" target="_blank">Lionguard 2</a>
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<a href="https://medium.com/dsaid-govtech/building-lionguard-a-contextualised-moderation-classifier-to-tackle-local-unsafe-content-8f68c8f13179" target="_blank">Lionguard</a>
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<!-- Papers -->
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<div class="resource-card">
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<h3
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<div class="resource-list">
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<a href="https://arxiv.org/abs/2507.05980" target="_blank">Lionguard 2 (arXiv:2507.05980)</a>
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<a href="https://arxiv.org/abs/2507.15339" target="_blank">RabakBench (arXiv:2507.15339)</a>
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</div>
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</section>
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</div>
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</main>
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<!-- Footer -->
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</footer>
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<script src="/static/script.js"></script>
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</body>
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</html>
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta name="description" content="Lionguard: A content moderation tool designed for Singapore's multilingual environment.">
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<meta name="theme-color" content="#E14746">
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<title>Lionguard - Content Moderation</title>
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<link rel="icon" type="image/png" href="/static/logo.png">
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<!-- Fonts -->
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Poppins:wght@500;600;700&display=swap" rel="stylesheet">
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<!-- Icons -->
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<link href='https://unpkg.com/boxicons@2.1.4/css/boxicons.min.css' rel='stylesheet'>
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<!-- Syntax Highlighting -->
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<link href="https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/themes/prism-tomorrow.min.css" rel="stylesheet" />
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<link rel="stylesheet" href="/static/style.css">
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</head>
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<body>
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</div>
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<div class="header-controls">
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<nav class="tabs" aria-label="Primary navigation">
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<button class="tab nav-link" data-tab="get-started">
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<i class='bx bx-rocket tab-icon'></i>
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Get Started
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</button>
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<div class="nav-dropdown">
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<button
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class="tab dropdown-toggle"
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aria-haspopup="true"
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aria-expanded="false"
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>
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<i class='bx bx-grid-alt tab-icon'></i>
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Demos
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<i class='bx bx-chevron-down dropdown-caret'></i>
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</button>
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<div class="dropdown-menu" role="menu">
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<button class="tab dropdown-item active" data-tab="detector" role="menuitem">
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<i class='bx bx-search tab-icon'></i>
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Detector
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</button>
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<button class="tab dropdown-item" data-tab="chat" role="menuitem">
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<i class='bx bx-message-rounded-dots tab-icon'></i>
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Chatbot Guardrail
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</button>
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</div>
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</div>
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<button class="tab nav-link" data-tab="about">
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<i class='bx bx-info-circle tab-icon'></i>
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About
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</button>
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</nav>
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<button id="theme-toggle" class="theme-icon-button" aria-label="Toggle theme">
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<i class='bx bx-sun theme-icon'></i>
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</button>
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</div>
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</div>
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<div id="detector-content" class="tab-content active">
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<!-- Disclaimer -->
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<div class="warning-card">
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<i class='bx bx-error-circle'></i> Inputs are anonymised and logged to improve Lionguard's moderation models.
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</div>
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<!-- Model Selector -->
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rows="10"
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></textarea>
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<button id="analyze-btn" class="btn btn-primary">
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<i class='bx bx-search btn-icon'></i>
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Analyze
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</button>
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</div>
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<!-- Binary Score -->
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<div id="binary-result" class="binary-placeholder">
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<i class='bx bx-edit placeholder-icon'></i>
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<p>Enter text to analyze</p>
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</div>
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<p class="feedback-prompt">Does this look correct?</p>
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<div class="feedback-buttons">
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<button id="thumbs-up" class="btn btn-success">
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<i class='bx bx-like'></i>
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Yes
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</button>
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<button id="thumbs-down" class="btn btn-secondary">
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<i class='bx bx-dislike'></i>
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No
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</button>
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</div>
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<div id="chat-content" class="tab-content full-width-section">
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<!-- Disclaimer -->
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<div class="warning-card">
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<i class='bx bx-error-circle'></i> Inputs are anonymised and logged to improve Lionguard's moderation models.
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</div>
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<!-- Model Selector for Guardrail -->
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<!-- No Moderation -->
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<div class="chat-panel">
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<div class="chat-header">
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<i class='bx bxs-circle chat-icon' style="color: #3B82F6;"></i>
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<h4>No Moderation</h4>
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</div>
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<div id="chat-no-mod" class="chat-messages"></div>
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<!-- OpenAI Moderation -->
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<div class="chat-panel">
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<div class="chat-header">
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<i class='bx bxs-circle chat-icon' style="color: #F59E0B;"></i>
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<h4>OpenAI Moderation</h4>
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</div>
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<div id="chat-openai" class="chat-messages"></div>
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<!-- Lionguard -->
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<div class="chat-panel">
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<div class="chat-header">
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<i class='bx bx-shield-quarter chat-icon' style="color: #E14746;"></i>
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<h4>Lionguard</h4>
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</div>
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<div id="chat-lionguard" class="chat-messages"></div>
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<section class="about-resources-grid">
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<!-- Models -->
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<div class="resource-card">
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<h3><i class='bx bx-cube-alt'></i> Open-Sourced Models</h3>
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<div class="resource-list">
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<a href="https://huggingface.co/govtech/lionguard-2.1" target="_blank">Lionguard 2.1</a>
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<a href="https://huggingface.co/govtech/lionguard-2" target="_blank">Lionguard 2</a>
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<!-- Datasets -->
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<div class="resource-card">
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<h3><i class='bx bx-data'></i> Open-Sourced Datasets</h3>
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<div class="resource-list">
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<a href="https://huggingface.co/datasets/govtech/lionguard-2-synthetic-instruct" target="_blank">Subset of Training Data</a>
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<a href="https://huggingface.co/datasets/govtech/RabakBench" target="_blank">RabakBench</a>
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<!-- Blog Posts -->
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<div class="resource-card">
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<h3><i class='bx bx-news'></i> Blog Posts</h3>
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<div class="resource-list">
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<a href="https://medium.com/dsaid-govtech/lionguard-2-8066d4e20d16" target="_blank">Lionguard 2</a>
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<a href="https://medium.com/dsaid-govtech/building-lionguard-a-contextualised-moderation-classifier-to-tackle-local-unsafe-content-8f68c8f13179" target="_blank">Lionguard</a>
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<!-- Papers -->
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<div class="resource-card">
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<h3><i class='bx bx-file'></i> Research Papers</h3>
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<div class="resource-list">
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<a href="https://arxiv.org/abs/2507.05980" target="_blank">Lionguard 2 (arXiv:2507.05980)</a>
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<a href="https://arxiv.org/abs/2507.15339" target="_blank">RabakBench (arXiv:2507.15339)</a>
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</div>
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</section>
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</div>
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<!-- Get Started Tab Content -->
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<div id="get-started-content" class="tab-content">
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<div class="get-started-container">
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<!-- Option 1 -->
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<div class="option-card full-width-card">
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<div class="option-header">
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<i class='bx bx-server option-icon'></i>
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<div>
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<h2>Option 1: Self-Host the Classifier</h2>
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<p>Integrate Lionguard directly into your applications. Toggle between models to see the implementation details.</p>
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</div>
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</div>
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<div class="code-section">
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<div class="code-tabs-header">
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<div class="code-tabs">
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<button class="code-tab active" data-code="lg2.1">Lionguard 2.1</button>
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<button class="code-tab" data-code="lg2">Lionguard 2</button>
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<button class="code-tab" data-code="lg2-lite">Lionguard 2 Lite</button>
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</div>
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| 285 |
+
<button id="copy-code-btn" class="copy-btn" title="Copy to clipboard">
|
| 286 |
+
<i class='bx bx-copy'></i> Copy
|
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+
</button>
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| 288 |
+
</div>
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| 289 |
+
|
| 290 |
+
<div class="code-display">
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| 291 |
+
<!-- Lionguard 2.1 Snippet -->
|
| 292 |
+
<div id="code-lg2.1" class="code-block active">
|
| 293 |
+
<pre><code class="language-python">import os
|
| 294 |
+
import numpy as np
|
| 295 |
+
from transformers import AutoModel
|
| 296 |
+
from google import genai
|
| 297 |
+
|
| 298 |
+
# Load model directly from HF
|
| 299 |
+
model = AutoModel.from_pretrained("govtech/lionguard-2.1", trust_remote_code=True)
|
| 300 |
+
|
| 301 |
+
# Text to classify
|
| 302 |
+
texts = ["hello", "world"]
|
| 303 |
+
|
| 304 |
+
# Get embeddings (users to input their own Gemini API key)
|
| 305 |
+
client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))
|
| 306 |
+
response = client.models.embed_content(
|
| 307 |
+
model="gemini-embedding-001",
|
| 308 |
+
contents=texts
|
| 309 |
+
)
|
| 310 |
+
embeddings = np.array([emb.values for emb in response.embeddings])
|
| 311 |
+
|
| 312 |
+
# Run inference
|
| 313 |
+
results = model.predict(embeddings)</code></pre>
|
| 314 |
+
</div>
|
| 315 |
+
|
| 316 |
+
<!-- Lionguard 2 Snippet -->
|
| 317 |
+
<div id="code-lg2" class="code-block">
|
| 318 |
+
<pre><code class="language-python">import os
|
| 319 |
+
import numpy as np
|
| 320 |
+
from transformers import AutoModel
|
| 321 |
+
from openai import OpenAI
|
| 322 |
+
|
| 323 |
+
# Load model directly from HF
|
| 324 |
+
model = AutoModel.from_pretrained(
|
| 325 |
+
"govtech/lionguard-2",
|
| 326 |
+
trust_remote_code=True
|
| 327 |
+
)
|
| 328 |
+
|
| 329 |
+
# Get OpenAI embeddings (users to input their own OpenAI API key)
|
| 330 |
+
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
|
| 331 |
+
response = client.embeddings.create(
|
| 332 |
+
input="Hello, world!", # users to input their own text
|
| 333 |
+
model="text-embedding-3-large",
|
| 334 |
+
dimensions=3072 # dimensions of the embedding
|
| 335 |
+
)
|
| 336 |
+
embeddings = np.array([data.embedding for data in response.data])
|
| 337 |
+
|
| 338 |
+
# Run LionGuard 2
|
| 339 |
+
results = model.predict(embeddings)</code></pre>
|
| 340 |
+
</div>
|
| 341 |
+
|
| 342 |
+
<!-- Lionguard 2 Lite Snippet -->
|
| 343 |
+
<div id="code-lg2-lite" class="code-block">
|
| 344 |
+
<pre><code class="language-python">import numpy as np
|
| 345 |
+
from sentence_transformers import SentenceTransformer
|
| 346 |
+
from transformers import AutoModel
|
| 347 |
+
|
| 348 |
+
# Load model directly from Hub
|
| 349 |
+
model = AutoModel.from_pretrained("govtech/lionguard-2-lite", trust_remote_code=True)
|
| 350 |
+
|
| 351 |
+
# Download model from the 🤗 Hub
|
| 352 |
+
embedding_model = SentenceTransformer("google/embeddinggemma-300m")
|
| 353 |
+
|
| 354 |
+
# Text to classify
|
| 355 |
+
texts = ["hello", "world"]
|
| 356 |
+
|
| 357 |
+
# Add prompt instructions to generate embeddings that are optimized to classify texts according to preset labels
|
| 358 |
+
formatted_texts = [f"task: classification | query: {c}" for c in texts]
|
| 359 |
+
embeddings = embedding_model.encode(formatted_texts) # NOTE: use encode() instead of encode_documents()
|
| 360 |
+
|
| 361 |
+
# Run inference
|
| 362 |
+
results = model.predict(embeddings)</code></pre>
|
| 363 |
+
</div>
|
| 364 |
+
</div>
|
| 365 |
+
</div>
|
| 366 |
+
</div>
|
| 367 |
+
|
| 368 |
+
<!-- Option 2 -->
|
| 369 |
+
<div class="option-card full-width-card">
|
| 370 |
+
<div class="option-header">
|
| 371 |
+
<i class='bx bx-shield-quarter option-icon'></i>
|
| 372 |
+
<div>
|
| 373 |
+
<h2>Option 2: via AI Guardians - Sentinel</h2>
|
| 374 |
+
<p>Managed service for Singapore public sector agencies.</p>
|
| 375 |
+
</div>
|
| 376 |
+
</div>
|
| 377 |
+
<div class="option-action">
|
| 378 |
+
<a href="https://www.aiguardian.gov.sg/" target="_blank" class="btn btn-primary">
|
| 379 |
+
Visit AI Guardians
|
| 380 |
+
</a>
|
| 381 |
+
</div>
|
| 382 |
+
</div>
|
| 383 |
+
</div>
|
| 384 |
+
</div>
|
| 385 |
</main>
|
| 386 |
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| 387 |
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