index.html

<!-- <!doctype html>
<html>
	<head>
		<meta charset="utf-8" />
		<meta name="viewport" content="width=device-width" />
		<title>My static Space</title>
		<link rel="stylesheet" href="style.css" />
	</head>
	<body>
		<div class="card">
			<h1>Welcome to your static Space!</h1>
			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
			<p>
				Also don't forget to check the
				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
			</p>
		</div>
	</body>
</html> -->


<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="utf-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>AI Text Summarization</title>
    <style>
        * {
            margin: 0;
            padding: 0;
            box-sizing: border-box;
        }
        
        body {
            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, sans-serif;
            background: #f5f5f5;
            min-height: 100vh;
            display: flex;
            justify-content: center;
            align-items: center;
            padding: 20px;
        }
        
        .card {
            background: white;
            border-radius: 8px;
            padding: 32px 40px;
            max-width: 680px;
            width: 100%;
            box-shadow: 0 1px 3px rgba(0,0,0,0.08);
            border: 1px solid #e8e8e8;
        }
        
        h1 {
            color: #1a1a1a;
            font-size: 1.6rem;
            font-weight: 600;
            margin-bottom: 4px;
            letter-spacing: -0.3px;
        }
        
        .subtitle {
            color: #666;
            font-size: 0.9rem;
            margin-bottom: 24px;
            padding-bottom: 16px;
            border-bottom: 1px solid #eee;
            font-weight: 400;
        }
        
        .model-status {
            margin: -8px 0 20px 0;
            padding: 8px 0;
            font-size: 0.85rem;
            color: #2d7a3a;
            font-weight: 400;
        }
        
        .model-status.loading {
            color: #b45309;
        }
        
        .model-status.error {
            color: #b91c1c;
        }
        
        .input-group {
            margin-bottom: 16px;
        }
        
        .input-group label {
            display: block;
            font-weight: 500;
            color: #333;
            margin-bottom: 6px;
            font-size: 0.9rem;
        }
        
        textarea {
            width: 100%;
            padding: 10px 12px;
            border: 1px solid #d0d0d0;
            border-radius: 4px;
            font-size: 14px;
            font-family: inherit;
            resize: vertical;
            transition: border-color 0.2s;
            min-height: 120px;
            background: white;
            color: #333;
            line-height: 1.5;
        }
        
        textarea:focus {
            outline: none;
            border-color: #4a6cf7;
        }
        
        textarea::placeholder {
            color: #999;
        }
        
        .output-group {
            margin-bottom: 16px;
        }
        
        .output-group label {
            display: block;
            font-weight: 500;
            color: #333;
            margin-bottom: 6px;
            font-size: 0.9rem;
        }
        
        #outputText {
            background: #fafafa;
            padding: 10px 12px;
            border-radius: 4px;
            min-height: 80px;
            border: 1px solid #e8e8e8;
            color: #333;
            white-space: pre-wrap;
            word-wrap: break-word;
            font-size: 14px;
            line-height: 1.5;
        }
        
        #outputText .placeholder {
            color: #999;
        }
        
        #outputText.error {
            color: #b91c1c;
        }
        
        #outputText.loading {
            color: #4a6cf7;
        }
        
        .button-group {
            display: flex;
            gap: 10px;
            margin-top: 4px;
        }
        
        button {
            padding: 8px 24px;
            border-radius: 4px;
            font-size: 14px;
            font-weight: 500;
            cursor: pointer;
            transition: all 0.2s;
            border: 1px solid transparent;
            background: transparent;
        }
        
        .submit-btn {
            background: #4a6cf7;
            color: white;
            border-color: #4a6cf7;
            order: 2;
            margin-left: auto;
        }
        
        .submit-btn:hover:not(:disabled) {
            background: #3b5de7;
            border-color: #3b5de7;
        }
        
        .submit-btn:disabled {
            background: #a0aec0;
            border-color: #a0aec0;
            cursor: not-allowed;
        }
        
        .clear-btn {
            color: #4a5568;
            border-color: #d0d0d0;
            background: white;
            order: 1;
        }
        
        .clear-btn:hover:not(:disabled) {
            background: #f7fafc;
            border-color: #a0aec0;
        }
        
        .clear-btn:disabled {
            opacity: 0.5;
            cursor: not-allowed;
        }
        
        .token-info {
            margin-top: 8px;
            font-size: 0.8rem;
            color: #999;
            text-align: right;
        }
        
        @media (max-width: 600px) {
            .card {
                padding: 20px;
            }
            
            h1 {
                font-size: 1.3rem;
            }
            
            .button-group {
                flex-wrap: wrap;
            }
            
            .submit-btn {
                flex: 1;
            }
            
            .clear-btn {
                flex: 0.4;
                min-width: 80px;
            }
        }
    </style>
</head>
<body>
    <div class="card">
        <h1>AI Text summarization</h1>
        <div class="subtitle">Powered by FalconsAI T5 Sequence-to-Sequence model.</div>
        
        <!-- Model status - styled to blend in, not stand out -->
        <div id="modelStatus" class="model-status loading">⏳ Loading model...</div>
        
        <div class="input-group">
            <label for="inputText">Input text to summarize:</label>
            <textarea 
                id="inputText" 
                rows="6" 
                placeholder="Paste document text here..."
            ></textarea>
        </div>
        
        <div class="output-group">
            <label for="outputText">Summarized text:</label>
            <div id="outputText"><span class="placeholder">Your summary will appear here...</span></div>
            <div id="tokenInfo" class="token-info"></div>
        </div>
        
        <div class="button-group">
            <button id="clearButton" class="clear-btn" disabled>Clear</button>
            <button id="summarizeButton" class="submit-btn" disabled>Submit</button>
        </div>
    </div>

    <!-- Use the official @huggingface/transformers import map -->
    <script type="importmap">
        {
            "imports": {
                "@huggingface/transformers": "https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.0.0/dist/transformers.min.js"
            }
        }
    </script>
    
    <script type="module">
        import { pipeline } from '@huggingface/transformers';
        
        // DOM elements
        const inputText = document.getElementById('inputText');
        const outputText = document.getElementById('outputText');
        const tokenInfo = document.getElementById('tokenInfo');
        const summarizeBtn = document.getElementById('summarizeButton');
        const clearBtn = document.getElementById('clearButton');
        const modelStatus = document.getElementById('modelStatus');
        
        // Initialize the summarization pipeline
        let summarizer = null;
        let isModelReady = false;
        
        async function initModel() {
            try {
                modelStatus.textContent = '⏳ Loading model...';
                modelStatus.className = 'model-status loading';
                summarizeBtn.disabled = true;
                clearBtn.disabled = true;
                
                summarizer = await pipeline(
                    'summarization', 
                    'onnx-community/text_summarization-ONNX'
                );
                
                isModelReady = true;
                modelStatus.textContent = '✅ Model loaded successfully! Ready to summarize.';
                modelStatus.className = 'model-status';
                summarizeBtn.disabled = false;
                clearBtn.disabled = false;
                
                console.log('✅ FalconsAI summarization model loaded successfully!');
                
            } catch (error) {
                console.error('Failed to load model:', error);
                modelStatus.textContent = '❌ Failed to load model. Please refresh the page.';
                modelStatus.className = 'model-status error';
                summarizeBtn.disabled = true;
                clearBtn.disabled = true;
                outputText.textContent = 'Failed to load the summarization model. Please refresh the page.';
                outputText.className = 'error';
            }
        }
        
        // Main summarize function - MATCHES PYTHON APP.PY DEFAULTS
        async function summarize() {
            if (!isModelReady || !summarizer) {
                outputText.textContent = 'Model is still loading. Please wait...';
                outputText.className = 'error';
                return;
            }
            
            const text = inputText.value.trim();
            
            // Check if input is empty or only whitespace
            if (!text) {
                outputText.textContent = 'Please enter document text to summarize.';
                outputText.className = 'error';
                tokenInfo.textContent = '';
                return;
            }
            
            // Approximate token count using words
            const inputTokens = text.split(/\s+/).length;
            
            // Check if word count is less than 5
            if (inputTokens < 5) {
                outputText.textContent = 'Insufficient text to summarize.';
                outputText.className = 'error';
                tokenInfo.textContent = `Input tokens: ${inputTokens}`;
                return;
            }
            
            // Show loading state
            outputText.textContent = 'Summarizing...';
            outputText.className = 'loading';
            summarizeBtn.disabled = true;
            tokenInfo.textContent = '';
            
            try {
                // Proceed with summarization - MATCH PYTHON DEFAULTS
                const result = await summarizer(text, { 
                    truncation: true,
                    max_length: 200,    // Python default: 200
                    min_length: 50,     // Python default: 50
                    do_sample: false,   // Python default: False
                    num_beams: 4,       // Python default: 4 beams
                    early_stopping: true
                });
                
                // Get summary text
                const summaryText = result[0].summary_text;
                
                // Calculate output tokens (approximate using word count)
                const outputTokens = summaryText.split(/\s+/).length;
                
                // Debug print statement (visible in browser console)
                console.log(`Input tokens: ${inputTokens}, Output tokens: ${outputTokens}`);
                
                // Update UI
                outputText.textContent = summaryText;
                outputText.className = '';
                tokenInfo.textContent = `Input tokens: ${inputTokens} | Output tokens: ${outputTokens}`;
                
            } catch (error) {
                console.error('Summarization error:', error);
                outputText.textContent = `An error occurred: ${error.message || 'Unknown error'}`;
                outputText.className = 'error';
            } finally {
                summarizeBtn.disabled = false;
            }
        }
        
        // Clear function
        function clearAll() {
            inputText.value = '';
            outputText.innerHTML = '<span class="placeholder">Your summary will appear here...</span>';
            outputText.className = '';
            tokenInfo.textContent = '';
        }
        
        // Event listeners
        summarizeBtn.addEventListener('click', summarize);
        clearBtn.addEventListener('click', clearAll);
        
        // Allow Ctrl+Enter to summarize (same as your Python version)
        inputText.addEventListener('keydown', (e) => {
            if (e.key === 'Enter' && (e.ctrlKey || e.metaKey)) {
                e.preventDefault();
                summarize();
            }
        });
        
        // Initialize the model when the page loads
        console.log('🚀 Loading FalconsAI summarization model...');
        initModel();
    </script>
</body>
</html>