V1
This commit is contained in:
Flatlogic Bot
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ai/__pycache__/__init__.cpython-311.pyc
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ai/__pycache__/__init__.cpython-311.pyc
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ai/__pycache__/local_ai_api.cpython-311.pyc
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ai/__pycache__/local_ai_api.cpython-311.pyc
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@ -14,12 +14,17 @@
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<meta property="twitter:image" content="{{ project_image_url }}">
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{% endif %}
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{% load static %}
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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@400;500;600;700&display=swap" rel="stylesheet">
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-T3c6CoIi6uLrA9TneNEoa7RxnatzjcDSCmG1MXxSR1GAsXEV/Dwwykc2MPK8M2HN" crossorigin="anonymous">
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<link rel="stylesheet" href="{% static 'css/custom.css' %}?v={{ deployment_timestamp }}">
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{% block head %}{% endblock %}
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</head>
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<body>
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{% block content %}{% endblock %}
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<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js" integrity="sha384-C6RzsynM9kWDrMNeT87bh95OGNyZPhcTNXj1NW7RuBCsyN/o0jlpcV8Qyq46cDfL" crossorigin="anonymous"></script>
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</body>
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</html>
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@ -1,145 +1,51 @@
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{% extends "base.html" %}
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{% extends 'base.html' %}
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{% load static %}
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{% block title %}{{ project_name }}{% endblock %}
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{% block head %}
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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;700&display=swap" rel="stylesheet">
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<style>
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:root {
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--bg-color-start: #6a11cb;
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--bg-color-end: #2575fc;
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--text-color: #ffffff;
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--card-bg-color: rgba(255, 255, 255, 0.01);
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--card-border-color: rgba(255, 255, 255, 0.1);
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}
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* {
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box-sizing: border-box;
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}
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body {
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margin: 0;
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font-family: 'Inter', sans-serif;
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background: linear-gradient(45deg, var(--bg-color-start), var(--bg-color-end));
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color: var(--text-color);
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display: flex;
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justify-content: center;
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align-items: center;
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min-height: 100vh;
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text-align: center;
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overflow: hidden;
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position: relative;
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}
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body::before {
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content: '';
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position: absolute;
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inset: 0;
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background-image: url("data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' width='100' height='100' viewBox='0 0 100 100'><path d='M-10 10L110 10M10 -10L10 110' stroke-width='1' stroke='rgba(255,255,255,0.05)'/></svg>");
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animation: bg-pan 20s linear infinite;
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z-index: -1;
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}
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@keyframes bg-pan {
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0% {
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background-position: 0% 0%;
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}
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100% {
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background-position: 100% 100%;
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}
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}
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main {
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padding: 2rem;
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}
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.card {
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background: var(--card-bg-color);
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border: 1px solid var(--card-border-color);
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border-radius: 16px;
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padding: 2.5rem 2rem;
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backdrop-filter: blur(20px);
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-webkit-backdrop-filter: blur(20px);
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box-shadow: 0 12px 36px rgba(0, 0, 0, 0.25);
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}
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h1 {
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font-size: clamp(2.2rem, 3vw + 1.2rem, 3.2rem);
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font-weight: 700;
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margin: 0 0 1.2rem;
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letter-spacing: -0.02em;
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}
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p {
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margin: 0.5rem 0;
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font-size: 1.1rem;
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opacity: 0.92;
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}
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.loader {
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margin: 1.5rem auto;
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width: 56px;
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height: 56px;
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border: 4px solid rgba(255, 255, 255, 0.25);
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border-top-color: #fff;
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border-radius: 50%;
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animation: spin 1s linear infinite;
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}
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@keyframes spin {
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to {
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transform: rotate(360deg);
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}
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}
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.runtime code {
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background: rgba(0, 0, 0, 0.25);
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padding: 0.15rem 0.45rem;
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border-radius: 4px;
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font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
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}
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.sr-only {
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position: absolute;
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width: 1px;
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height: 1px;
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padding: 0;
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margin: -1px;
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overflow: hidden;
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clip: rect(0, 0, 0, 0);
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border: 0;
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}
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footer {
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position: absolute;
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bottom: 1rem;
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width: 100%;
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text-align: center;
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font-size: 0.85rem;
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opacity: 0.75;
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}
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</style>
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{% endblock %}
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{% block title %}ExamAid - AI-Powered Study Assistant{% endblock %}
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{% block content %}
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<main>
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<div class="card">
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<h1>Analyzing your requirements and generating your app…</h1>
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<div class="loader" role="status" aria-live="polite" aria-label="Applying initial changes">
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<span class="sr-only">Loading…</span>
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<div class="bg-gradient-primary hero-section">
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<div class="container text-center">
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<h1 class="display-4">Welcome to ExamAid</h1>
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<p class="lead">Your AI-powered study assistant for competitive exams.</p>
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</div>
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<p class="hint">AppWizzy AI is collecting your requirements and applying the first changes.</p>
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<p class="hint">This page will refresh automatically as the plan is implemented.</p>
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<p class="runtime">
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Runtime: Django <code>{{ django_version }}</code> · Python <code>{{ python_version }}</code>
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— UTC <code>{{ current_time|date:"Y-m-d H:i:s" }}</code>
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</p>
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</div>
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</main>
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<footer>
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Page updated: {{ current_time|date:"Y-m-d H:i:s" }} (UTC)
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</footer>
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{% endblock %}
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</div>
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<div class="container my-5">
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<div class="row">
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<div class="col-md-6">
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<h2>Generate MCQs</h2>
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<p>Enter a topic to generate multiple-choice questions with detailed explanations.</p>
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<form method="post">
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{% csrf_token %}
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<div class="mb-3">
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<label for="topic" class="form-label">Topic</label>
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<input type="text" class="form-control" id="topic" name="topic" required>
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</div>
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<button type="submit" class="btn btn-primary">Generate MCQs</button>
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</form>
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</div>
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<div class="col-md-6">
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<h2>Generated Questions</h2>
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{% if mcqs %}
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{% for mcq in mcqs %}
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<div class="question-card">
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<h5>{{ mcq.question }}</h5>
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<ul class="options">
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{% for option in mcq.options %}
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<li>{{ option }}</li>
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{% endfor %}
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</ul>
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<div class="explanation">
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<p><strong>Correct Answer:</strong> {{ mcq.correct_answer }}</p>
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<p><strong>Explanation:</strong> {{ mcq.explanation }}</p>
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</div>
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</div>
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{% endfor %}
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{% else %}
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<p>No questions generated yet. Use the form to generate some!</p>
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{% endif %}
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</div>
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</div>
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</div>
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{% endblock %}
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@ -1,7 +1,7 @@
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from django.urls import path
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from .views import home
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from .views import index
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urlpatterns = [
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path("", home, name="home"),
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path("", index, name="index"),
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]
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@ -1,25 +1,39 @@
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import os
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import platform
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from django import get_version as django_version
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import json
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from django.shortcuts import render
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from django.utils import timezone
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from ai.local_ai_api import LocalAIApi
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def index(request):
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"""Render the landing page and handle MCQ generation."""
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context = {}
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if request.method == "POST":
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topic = request.POST.get("topic")
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if topic:
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# This is a simplified example. In a real app, you would have
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# more sophisticated error handling and prompt engineering.
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response = LocalAIApi.create_response(
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{
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"input": [
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{'role': 'system', 'content': 'You are an educational content generator. Produce a JSON array of 3 objects, where each object has the following structure: {"question": "...", "options": ["...", "...", "...", "..."], "correct_answer": "...", "explanation": "..."}. The topic is ' + topic + '. Return ONLY valid JSON.'}, {"role": "user", "content": "Generate 3 MCQs about " + topic},
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],
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}
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)
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def home(request):
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"""Render the landing screen with loader and environment details."""
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host_name = request.get_host().lower()
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agent_brand = "AppWizzy" if host_name == "appwizzy.com" else "Flatlogic"
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now = timezone.now()
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if response.get("success"):
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# The AI response might be a string that needs to be parsed as JSON.
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# It's important to handle potential JSON parsing errors.
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try:
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raw_text = LocalAIApi.extract_text(response)
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mcqs = json.loads(raw_text)
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# Basic validation to ensure we have a list
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if isinstance(mcqs, list):
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context["mcqs"] = mcqs
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else:
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context["error"] = "AI returned data in an unexpected format."
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except json.JSONDecodeError:
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context["error"] = "Failed to parse the response from the AI."
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except Exception as e:
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context["error"] = f"An unexpected error occurred: {e}"
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else:
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context["error"] = response.get("error", "An unknown error occurred with the AI service.")
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context = {
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"project_name": "New Style",
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"agent_brand": agent_brand,
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"django_version": django_version(),
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"python_version": platform.python_version(),
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"current_time": now,
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"host_name": host_name,
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"project_description": os.getenv("PROJECT_DESCRIPTION", ""),
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"project_image_url": os.getenv("PROJECT_IMAGE_URL", ""),
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}
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return render(request, "core/index.html", context)
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@ -1,4 +1,77 @@
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/* Custom styles for the application */
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body {
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font-family: system-ui, -apple-system, sans-serif;
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:root {
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--bs-primary: #4F46E5;
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--bs-secondary: #10B981;
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--bs-accent: #F59E0B;
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--bs-neutral-light: #F9FAFB;
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--bs-neutral-dark: #111827;
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--bs-font-sans-serif: "Inter", sans-serif;
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--bs-font-monospace: "Poppins", sans-serif;
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}
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body {
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font-family: var(--bs-font-sans-serif);
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background-color: var(--bs-neutral-light);
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color: var(--bs-neutral-dark);
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}
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h1, h2, h3, h4, h5, h6 {
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font-family: var(--bs-font-monospace);
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font-weight: 600;
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}
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.btn-primary {
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background-color: var(--bs-primary);
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border-color: var(--bs-primary);
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}
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.btn-primary:hover {
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background-color: #4338ca;
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border-color: #4338ca;
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}
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.btn-secondary {
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background-color: var(--bs-secondary);
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border-color: var(--bs-secondary);
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}
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.btn-secondary:hover {
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background-color: #059669;
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border-color: #059669;
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}
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.bg-gradient-primary {
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background: linear-gradient(90deg, var(--bs-primary), var(--bs-secondary));
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}
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.hero-section {
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padding: 6rem 0;
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color: white;
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}
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.question-card {
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border: 1px solid #e5e7eb;
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border-radius: 0.5rem;
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padding: 1.5rem;
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margin-bottom: 1.5rem;
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background-color: white;
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}
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.question-card h5 {
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font-weight: 600;
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}
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.question-card .options {
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list-style-type: none;
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padding-left: 0;
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}
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.question-card .options li {
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padding: 0.5rem 0;
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}
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.question-card .explanation {
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margin-top: 1rem;
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padding-top: 1rem;
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border-top: 1px solid #e5e7eb;
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font-size: 0.9rem;
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}
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@ -1,21 +1,77 @@
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:root {
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--bg-color-start: #6a11cb;
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--bg-color-end: #2575fc;
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--text-color: #ffffff;
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--card-bg-color: rgba(255, 255, 255, 0.01);
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--card-border-color: rgba(255, 255, 255, 0.1);
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--bs-primary: #4F46E5;
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--bs-secondary: #10B981;
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--bs-accent: #F59E0B;
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--bs-neutral-light: #F9FAFB;
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--bs-neutral-dark: #111827;
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--bs-font-sans-serif: "Inter", sans-serif;
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--bs-font-monospace: "Poppins", sans-serif;
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}
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body {
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margin: 0;
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font-family: 'Inter', sans-serif;
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background: linear-gradient(45deg, var(--bg-color-start), var(--bg-color-end));
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color: var(--text-color);
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display: flex;
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justify-content: center;
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align-items: center;
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min-height: 100vh;
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text-align: center;
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overflow: hidden;
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position: relative;
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font-family: var(--bs-font-sans-serif);
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background-color: var(--bs-neutral-light);
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color: var(--bs-neutral-dark);
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}
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h1, h2, h3, h4, h5, h6 {
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font-family: var(--bs-font-monospace);
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font-weight: 600;
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}
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.btn-primary {
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background-color: var(--bs-primary);
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border-color: var(--bs-primary);
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}
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.btn-primary:hover {
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background-color: #4338ca;
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border-color: #4338ca;
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}
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.btn-secondary {
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background-color: var(--bs-secondary);
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border-color: var(--bs-secondary);
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}
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.btn-secondary:hover {
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background-color: #059669;
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border-color: #059669;
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}
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.bg-gradient-primary {
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background: linear-gradient(90deg, var(--bs-primary), var(--bs-secondary));
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}
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.hero-section {
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padding: 6rem 0;
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color: white;
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}
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.question-card {
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border: 1px solid #e5e7eb;
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border-radius: 0.5rem;
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padding: 1.5rem;
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margin-bottom: 1.5rem;
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background-color: white;
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}
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.question-card h5 {
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font-weight: 600;
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}
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.question-card .options {
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list-style-type: none;
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padding-left: 0;
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}
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.question-card .options li {
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padding: 0.5rem 0;
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}
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.question-card .explanation {
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margin-top: 1rem;
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padding-top: 1rem;
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border-top: 1px solid #e5e7eb;
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font-size: 0.9rem;
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}
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