594f749d4c
Full-stack GraphRAG chatbot for HP marketing materials with: - Python/Flask backend with custom ReAct agent (LlamaIndex) - Neo4j knowledge graph + vector search hybrid retrieval - LlamaParse multimodal document processing (text + images) - React/Vite frontend with conversation management - MongoDB conversation persistence - MSAL authentication support Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
31 lines
1.2 KiB
HTML
31 lines
1.2 KiB
HTML
<!doctype html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<link rel="icon" type="image/svg+xml" href="/vite.svg" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<!-- Helps with MIME type issues -->
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<meta http-equiv="X-Content-Type-Options" content="nosniff" />
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<title>HP Marketing Materials Chatbot</title>
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<!-- MSAL Authentication -->
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<script src="https://alcdn.msauth.net/browser/2.15.0/js/msal-browser.min.js" crossorigin="anonymous"></script>
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<style>
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#protected-content {
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display: none;
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}
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</style>
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</head>
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<body>
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<div id="login-container" class="flex items-center justify-center h-screen">
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<div class="text-center">
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<h1 class="text-2xl font-bold mb-4">HP Marketing Materials Chatbot</h1>
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<p class="mb-4">Please sign in to access the chatbot.</p>
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<button id="signin-button" class="px-4 py-2 bg-blue-500 text-white rounded hover:bg-blue-600">
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Sign in with Microsoft
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</button>
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</div>
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</div>
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<div id="root" style="display: none;"></div>
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<script type="module" src="/src/main.jsx"></script>
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</body>
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</html>
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