Update index.js

index.js

@@ -1,79 +1,114 @@
-import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
-
-// Since we will download the model from the Hugging Face Hub, we can skip the local model check
-env.allowLocalModels = false;
-
-// Reference the elements that we will need
-const status = document.getElementById('status');
-const fileUpload = document.getElementById('upload');
-const imageContainer = document.getElementById('container');
-const example = document.getElementById('example');
-
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
-
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
-
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
-});
-
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
+class PDFAnalyzer {
+    constructor() {
+        this.fileInput = document.getElementById('file-upload');
+        this.loading = document.getElementById('loading');
+        this.resultsContainer = document.getElementById('analysis-results');
+        
+        this.initializeEventListeners();
     }
 
-    const reader = new FileReader();
-
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
+    initializeEventListeners() {
+        this.fileInput.addEventListener('change', (e) => this.handleFileChange(e));
+        
+        // Drag and drop handlers
+        const uploadArea = document.querySelector('.upload-area');
+        uploadArea.addEventListener('dragover', (e) => {
+            e.preventDefault();
+            uploadArea.style.borderColor = 'var(--primary-color)';
+        });
+        
+        uploadArea.addEventListener('dragleave', () => {
+            uploadArea.style.borderColor = '#d1d5db';
+        });
+        
+        uploadArea.addEventListener('drop', (e) => {
+            e.preventDefault();
+            uploadArea.style.borderColor = '#d1d5db';
+            const files = Array.from(e.dataTransfer.files);
+            this.analyzeFiles(files);
+        });
+    }
 
-    reader.readAsDataURL(file);
-});
+    async handleFileChange(e) {
+        const files = Array.from(e.target.files);
+        await this.analyzeFiles(files);
+    }
 
+    async analyzeFiles(files) {
+        this.loading.classList.remove('hidden');
+        
+        for (const file of files) {
+            try {
+                const analysis = await this.analyzePDF(file);
+                this.displayResult(analysis);
+            } catch (error) {
+                this.displayResult({
+                    name: file.name,
+                    issues: [`Error analyzing file: ${error.message}`],
+                    size: file.size,
+                    timestamp: new Date().toISOString()
+                });
+            }
+        }
+        
+        this.loading.classList.add('hidden');
+    }
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
+    async analyzePDF(file) {
+        return new Promise((resolve, reject) => {
+            const reader = new FileReader();
+            
+            reader.onload = async (e) => {
+                const content = new Uint8Array(e.target.result);
+                const issues = [];
+
+                // Check file size (10MB limit)
+                if (file.size > 10000000) {
+                    issues.push('File size exceeds 10MB');
+                }
+
+                // Check PDF header
+                const header = content.slice(0, 4);
+                const isPDF = String.fromCharCode(...header) === '%PDF';
+                if (!isPDF) {
+                    issues.push('Invalid PDF format');
+                }
+
+                resolve({
+                    name: file.name,
+                    issues,
+                    size: file.size,
+                    timestamp: new Date().toISOString()
+                });
+            };
+
+            reader.onerror = () => reject(new Error('Failed to read file'));
+            reader.readAsArrayBuffer(file);
+        });
+    }
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
+    displayResult(result) {
+        const alert = document.createElement('div');
+        alert.className = `alert ${result.issues.length ? 'alert-error' : 'alert-success'}`;
+        
+        alert.innerHTML = `
+            <h3>${result.name}</h3>
+            <p>Size: ${(result.size / 1024).toFixed(2)} KB</p>
+            ${result.issues.length ? `
+                <div class="issues">
+                    <p>Issues found:</p>
+                    <ul>
+                        ${result.issues.map(issue => `<li>${issue}</li>`).join('')}
+                    </ul>
+                </div>
+            ` : '<p>No issues found</p>'}
+        `;
+        
+        this.resultsContainer.appendChild(alert);
+    }
 }
 
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
-
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
-
-    // Draw the box
-    const boxElement = document.createElement('div');
-    boxElement.className = 'bounding-box';
-    Object.assign(boxElement.style, {
-        borderColor: color,
-        left: 100 * xmin + '%',
-        top: 100 * ymin + '%',
-        width: 100 * (xmax - xmin) + '%',
-        height: 100 * (ymax - ymin) + '%',
-    })
-
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
-
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
-}
+// Initialize the analyzer when the DOM is loaded
+document.addEventListener('DOMContentLoaded', () => {
+    new PDFAnalyzer();
+});