111 lines
5.7 KiB
PHP
111 lines
5.7 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>AI CSV Analyzer</title>
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<meta name="description" content="Upload a CSV and get an AI-powered analysis with a dataset description and chart suggestions.">
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<meta name="keywords" content="csv analysis, ai data analysis, data visualization, business intelligence, data insights, csv uploader, ai-powered charts, data analytics, data processing, flatlogic generator">
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<meta property="og:title" content="AI CSV Analyzer">
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<meta property="og:description" content="Upload a CSV and get an AI-powered analysis with a dataset description and chart suggestions.">
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<meta property="og:image" content="">
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<meta name="twitter:card" content="summary_large_image">
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<meta name="twitter:image" content="">
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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="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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</head>
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<body>
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<nav class="navbar navbar-expand-lg navbar-light bg-light">
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<div class="container">
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<a class="navbar-brand" href="#">AI CSV Analyzer</a>
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</div>
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</nav>
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<main class="container">
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<div class="hero-section text-center p-5 rounded-lg my-4">
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<h1 class="display-4">Analyze Your CSV Data with AI</h1>
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<p class="lead">Upload your CSV file, and our AI will provide a description of the dataset and suggest relevant charts.</p>
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<form action="index.php" method="post" enctype="multipart/form-data" class="mt-4">
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<div class="input-group mb-3">
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<input type="file" class="form-control" name="csv_file" id="csv_file" accept=".csv" required>
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<button class="btn btn-primary" type="submit">Analyze CSV</button>
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</div>
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</form>
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<?php
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$analysis_result = '';
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if ($_SERVER['REQUEST_METHOD'] === 'POST' && isset($_FILES['csv_file'])) {
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if ($_FILES['csv_file']['error'] === UPLOAD_ERR_OK) {
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$file_tmp_path = $_FILES['csv_file']['tmp_name'];
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$file_name = htmlspecialchars($_FILES['csv_file']['name']);
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// --- CSV Processing ---
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$csv_data = [];
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$row_limit = 6; // Header + 5 rows
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if (($handle = fopen($file_tmp_path, "r")) !== FALSE) {
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$i = 0;
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while (($data = fgetcsv($handle)) !== FALSE && $i < $row_limit) {
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$csv_data[] = $data;
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$i++;
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}
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fclose($handle);
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}
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if (!empty($csv_data)) {
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// --- AI Analysis ---
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require_once __DIR__ . '/ai/LocalAIApi.php';
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$header = array_shift($csv_data);
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$prompt = "Analyze the following CSV data. The first line is the header, followed by a few sample rows.\n\n";
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$prompt .= "Header: " . implode(', ', $header) . "\n";
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$prompt .= "Sample Rows:\n";
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foreach ($csv_data as $row) {
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$prompt .= implode(', ', $row) . "\n";
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}
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$prompt .= "\nBased on this data, provide:
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1. A brief, insightful description of the dataset. What kind of information does it seem to contain?
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2. Suggestions for 2-3 useful charts that could be created from this data. For each suggestion, specify the chart type (e.g., Bar Chart, Line Chart, Scatter Plot) and explain what insights it would provide.";
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$resp = LocalAIApi::createResponse([
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'input' => [
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['role' => 'system', 'content' => 'You are a data analysis expert.'],
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['role' => 'user', 'content' => $prompt],
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],
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]);
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if (!empty($resp['success'])) {
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$ai_text = LocalAIApi::extractText($resp);
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// Use nl2br to preserve line breaks from the AI response
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$analysis_result = "<div class='alert alert-success mt-3 text-start'><h4>Analysis for ".htmlspecialchars($file_name)."</h4><p>" . nl2br(htmlspecialchars($ai_text)) . "</p></div>";
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} else {
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$error_message = $resp['error'] ?? 'An unknown error occurred with the AI API.';
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$analysis_result = "<div class='alert alert-danger mt-3'>Error during AI analysis: " . htmlspecialchars($error_message) . "</div>";
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}
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} else {
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$analysis_result = "<div class='alert alert-warning mt-3'>Could not read data from the CSV file.</div>";
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}
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} else {
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$analysis_result = "<div class='alert alert-danger mt-3'>Error uploading file.</div>";
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}
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echo $analysis_result;
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}
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?>
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</div>
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</main>
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<footer class="footer mt-auto py-3 bg-light">
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<div class="container text-center">
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<span class="text-muted">Built with Flatlogic</span>
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</div>
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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 src="assets/js/main.js?v=<?php echo time(); ?>"></script>
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</body>
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</html>
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