199 lines
9.4 KiB
PHP
199 lines
9.4 KiB
PHP
<!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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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Test Playground — FoodieFlow</title>
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/css/bootstrap.min.css" rel="stylesheet">
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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=Poppins:wght@400;600;700&display=swap" rel="stylesheet">
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.11.3/font/bootstrap-icons.min.css">
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<link rel="stylesheet" href="assets/css/custom.css?v=<?php echo time(); ?>">
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<style>
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.test-card {
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transition: transform 0.2s;
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cursor: pointer;
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}
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.test-card:hover {
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transform: translateY(-5px);
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}
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</style>
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</head>
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<body class="bg-light">
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<nav class="navbar navbar-expand-lg navbar-light bg-white shadow-sm sticky-top mb-4">
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<div class="container">
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<a class="navbar-brand d-flex align-items-center" href="/">
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<i class="bi bi-flow me-2" style="color: var(--brand-primary);"></i>
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<span class="fw-bold">FoodieFlow Test Lab</span>
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</a>
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<div class="ms-auto">
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<a href="/" class="btn btn-outline-primary btn-sm">Back to Home</a>
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</div>
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</div>
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</nav>
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<main class="container py-5">
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<div class="row mb-4">
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<div class="col-md-8 mx-auto">
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<div class="alert alert-warning border-0 shadow-sm d-flex align-items-center">
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<i class="bi bi-exclamation-triangle-fill fs-4 me-3"></i>
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<div>
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<strong>Attention:</strong> To use image analysis, you must set your OpenAI API Key in <code>ai/keys.php</code>.
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Direct communication with OpenAI is enabled to support multimodal features.
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</div>
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</div>
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</div>
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</div>
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<div class="row mb-5">
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<div class="col-12 text-center">
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<h1 class="display-4 fw-bold">Test Playground</h1>
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<p class="lead text-muted">A place to test new features before they go live.</p>
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</div>
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</div>
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<div class="row g-4">
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<!-- AI Testing Section -->
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<div class="col-md-8 mx-auto">
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<div class="card shadow-sm">
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<div class="card-body">
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<h5 class="card-title d-flex align-items-center mb-4">
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<i class="bi bi-magic me-2 text-primary"></i>
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Advanced AI Analyzer
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</h5>
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<div class="mb-4">
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<label class="form-label fw-bold">1. Select Input Source</label>
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<ul class="nav nav-pills mb-3" id="pills-tab" role="tablist">
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<li class="nav-item" role="presentation">
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<button class="nav-link active" id="pills-file-tab" data-bs-toggle="pill" data-bs-target="#pills-file" type="button" role="tab">Upload File</button>
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</li>
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<li class="nav-item" role="presentation">
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<button class="nav-link" id="pills-url-tab" data-bs-toggle="pill" data-bs-target="#pills-url" type="button" role="tab">Image URL</button>
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</li>
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</ul>
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<div class="tab-content" id="pills-tabContent">
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<div class="tab-pane fade show active" id="pills-file" role="tabpanel">
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<input type="file" id="ai-file-input" class="form-control">
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</div>
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<div class="tab-pane fade" id="pills-url" role="tabpanel">
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<input type="text" id="ai-url-input" class="form-control" placeholder="https://example.com/image.jpg">
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</div>
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</div>
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</div>
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<div class="mb-4">
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<label class="form-label fw-bold">2. Custom Prompt</label>
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<textarea id="ai-prompt" class="form-control" rows="3">Analyze this image. If it's a dish, identify it and provide a recipe in JSON format: { "name": "...", "ingredients": [...] }</textarea>
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</div>
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<div class="mb-4">
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<label class="form-label fw-bold">3. Select Model</label>
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<select id="ai-model" class="form-select">
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<option value="gpt-4o">GPT-4o (Best for Vision)</option>
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<option value="gpt-4o-mini" selected>GPT-4o Mini (Fast & Efficient)</option>
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</select>
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</div>
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<button id="analyze-btn" class="btn btn-primary w-100 py-2 fw-bold">
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<i class="bi bi-cpu me-2"></i> Run Analysis
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</button>
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<div id="ai-results" class="mt-4 d-none">
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<h6 class="fw-bold border-bottom pb-2">Analysis Result:</h6>
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<div class="mb-3">
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<label class="small text-muted">Text Output:</label>
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<div class="bg-white border rounded p-3" id="ai-text-output" style="white-space: pre-wrap;"></div>
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</div>
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<div id="json-section" class="d-none">
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<label class="small text-muted">Extracted Data (JSON):</label>
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<pre class="bg-dark text-white p-3 rounded" id="ai-json-output"></pre>
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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</main>
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<footer class="text-center py-4 mt-5">
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<p class="mb-0 text-muted">© <?php echo date("Y"); ?> FoodieFlow Lab</p>
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</footer>
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<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js"></script>
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<script>
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document.getElementById('analyze-btn')?.addEventListener('click', async () => {
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const fileInput = document.getElementById('ai-file-input');
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const urlInput = document.getElementById('ai-url-input');
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const promptInput = document.getElementById('ai-prompt');
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const modelSelect = document.getElementById('ai-model');
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const resultsDiv = document.getElementById('ai-results');
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const textOutput = document.getElementById('ai-text-output');
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const jsonOutput = document.getElementById('ai-json-output');
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const jsonSection = document.getElementById('json-section');
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const btn = document.getElementById('analyze-btn');
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const originalText = btn.innerHTML;
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const isUrl = document.getElementById('pills-url-tab').classList.contains('active');
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const formData = new FormData();
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formData.append('prompt', promptInput.value);
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formData.append('model', modelSelect.value);
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if (isUrl) {
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if (!urlInput.value) {
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alert('Please enter an image URL.');
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return;
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}
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formData.append('image_url', urlInput.value);
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} else {
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if (!fileInput.files.length) {
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alert('Please select an image file.');
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return;
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}
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formData.append('image', fileInput.files[0]);
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}
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btn.innerHTML = '<span class="spinner-border spinner-border-sm" role="status" aria-hidden="true"></span> Processing...';
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btn.disabled = true;
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resultsDiv.classList.add('d-none');
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try {
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const response = await fetch('api/ai_analyze.php', {
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method: 'POST',
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body: formData
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});
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const data = await response.json();
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resultsDiv.classList.remove('d-none');
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if (data.success) {
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textOutput.textContent = data.text || 'No text output returned.';
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if (data.data) {
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jsonSection.classList.remove('d-none');
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jsonOutput.textContent = JSON.stringify(data.data, null, 2);
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} else {
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jsonSection.classList.add('d-none');
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}
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} else {
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textOutput.innerHTML = `<span class="text-danger">Error: ${data.error}</span>`;
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jsonSection.classList.add('d-none');
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}
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} catch (error) {
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console.error('Error:', error);
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textOutput.innerHTML = `<span class="text-danger">Failed to connect to the server.</span>`;
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} finally {
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btn.innerHTML = originalText;
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btn.disabled = false;
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}
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});
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</script>
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</body>
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</html>
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