NLP_Model / app /static /index.html
Sadeep Sachintha
feat: add premium frontend ui
0c26380
<!DOCTYPE html>
<html lang="si">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Sinhala Sentiment Analysis API</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;600;700&display=swap" rel="stylesheet">
<style>
:root {
--bg-color: #0f172a;
--glass-bg: rgba(30, 41, 59, 0.7);
--glass-border: rgba(255, 255, 255, 0.1);
--text-main: #f8fafc;
--text-muted: #94a3b8;
--primary: #3b82f6;
--primary-hover: #2563eb;
--positive: #10b981;
--negative: #ef4444;
}
* {
box-sizing: border-box;
margin: 0;
padding: 0;
font-family: 'Outfit', sans-serif;
}
body {
background-color: var(--bg-color);
background-image:
radial-gradient(at 0% 0%, hsla(253,16%,7%,1) 0, transparent 50%),
radial-gradient(at 50% 0%, hsla(225,39%,30%,1) 0, transparent 50%),
radial-gradient(at 100% 0%, hsla(339,49%,30%,1) 0, transparent 50%);
color: var(--text-main);
min-height: 100vh;
display: flex;
align-items: center;
justify-content: center;
padding: 2rem;
line-height: 1.6;
}
.container {
width: 100%;
max-width: 600px;
background: var(--glass-bg);
backdrop-filter: blur(16px);
-webkit-backdrop-filter: blur(16px);
border: 1px solid var(--glass-border);
border-radius: 24px;
padding: 3rem;
box-shadow: 0 25px 50px -12px rgba(0, 0, 0, 0.5);
animation: slideUp 0.6s cubic-bezier(0.16, 1, 0.3, 1) forwards;
opacity: 0;
transform: translateY(20px);
}
@keyframes slideUp {
to {
opacity: 1;
transform: translateY(0);
}
}
.header {
text-align: center;
margin-bottom: 2rem;
}
h1 {
font-size: 2rem;
font-weight: 700;
margin-bottom: 0.5rem;
background: linear-gradient(135deg, #60a5fa 0%, #a78bfa 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
}
p.subtitle {
color: var(--text-muted);
font-size: 0.95rem;
}
.input-group {
margin-bottom: 1.5rem;
position: relative;
}
textarea {
width: 100%;
background: rgba(15, 23, 42, 0.6);
border: 1px solid var(--glass-border);
border-radius: 12px;
padding: 1rem;
color: var(--text-main);
font-size: 1rem;
resize: vertical;
min-height: 120px;
transition: all 0.3s ease;
}
textarea:focus {
outline: none;
border-color: var(--primary);
box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.2);
}
textarea::placeholder {
color: #475569;
}
button {
width: 100%;
background: var(--primary);
color: white;
border: none;
border-radius: 12px;
padding: 1rem;
font-size: 1rem;
font-weight: 600;
cursor: pointer;
transition: all 0.2s ease;
display: flex;
justify-content: center;
align-items: center;
gap: 0.5rem;
}
button:hover {
background: var(--primary-hover);
transform: translateY(-2px);
box-shadow: 0 10px 15px -3px rgba(37, 99, 235, 0.4);
}
button:active {
transform: translateY(0);
}
.loader {
display: none;
width: 20px;
height: 20px;
border: 3px solid rgba(255,255,255,0.3);
border-radius: 50%;
border-top-color: white;
animation: spin 1s ease-in-out infinite;
}
@keyframes spin {
to { transform: rotate(360deg); }
}
.result-container {
margin-top: 2rem;
padding: 1.5rem;
border-radius: 12px;
background: rgba(15, 23, 42, 0.6);
border: 1px solid var(--glass-border);
display: none;
opacity: 0;
transition: opacity 0.4s ease;
}
.result-container.show {
display: block;
opacity: 1;
}
.sentiment-header {
display: flex;
align-items: center;
justify-content: space-between;
margin-bottom: 1rem;
}
.sentiment-label {
font-size: 1.25rem;
font-weight: 700;
display: flex;
align-items: center;
gap: 0.5rem;
}
.positive { color: var(--positive); }
.negative { color: var(--negative); }
.confidence-wrapper {
margin-top: 1rem;
}
.confidence-header {
display: flex;
justify-content: space-between;
font-size: 0.85rem;
color: var(--text-muted);
margin-bottom: 0.5rem;
}
.progress-bar {
height: 8px;
background: rgba(255, 255, 255, 0.1);
border-radius: 999px;
overflow: hidden;
}
.progress-fill {
height: 100%;
border-radius: 999px;
transition: width 1s cubic-bezier(0.16, 1, 0.3, 1);
width: 0%;
}
.progress-fill.positive { background: var(--positive); box-shadow: 0 0 10px var(--positive); }
.progress-fill.negative { background: var(--negative); box-shadow: 0 0 10px var(--negative); }
.error-message {
color: var(--negative);
margin-top: 1rem;
text-align: center;
font-size: 0.9rem;
display: none;
}
</style>
</head>
<body>
<div class="container">
<div class="header">
<h1>Sinhala Sentiment Analysis</h1>
<p class="subtitle">AI-powered sentiment detection for Sinhala text</p>
</div>
<div class="input-group">
<textarea id="textInput" placeholder="සිංහල වාක්‍යයක් මෙහි ඇතුලත් කරන්න... (Enter a Sinhala sentence here...)"></textarea>
</div>
<button id="analyzeBtn" onclick="analyzeSentiment()">
<span>Analyze Sentiment</span>
<div class="loader" id="loader"></div>
</button>
<div id="errorMsg" class="error-message"></div>
<div class="result-container" id="resultContainer">
<div class="sentiment-header">
<span class="sentiment-label" id="sentimentLabel"></span>
<span id="sentimentEmoji" style="font-size: 1.5rem;"></span>
</div>
<div class="confidence-wrapper">
<div class="confidence-header">
<span>Confidence Score</span>
<span id="confidenceText">0%</span>
</div>
<div class="progress-bar">
<div class="progress-fill" id="progressFill"></div>
</div>
</div>
</div>
</div>
<script>
async function analyzeSentiment() {
const textInput = document.getElementById('textInput').value.trim();
const analyzeBtn = document.getElementById('analyzeBtn');
const loader = document.getElementById('loader');
const btnText = analyzeBtn.querySelector('span');
const resultContainer = document.getElementById('resultContainer');
const errorMsg = document.getElementById('errorMsg');
if (!textInput) {
errorMsg.textContent = "Please enter some text to analyze.";
errorMsg.style.display = 'block';
return;
}
// Reset UI
errorMsg.style.display = 'none';
resultContainer.classList.remove('show');
document.getElementById('progressFill').style.width = '0%';
// Loading state
btnText.style.display = 'none';
loader.style.display = 'block';
analyzeBtn.disabled = true;
try {
const response = await fetch('/predict', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ text: textInput })
});
if (!response.ok) {
throw new Error('Failed to analyze sentiment.');
}
const data = await response.json();
displayResult(data);
} catch (error) {
errorMsg.textContent = error.message || "An error occurred during analysis.";
errorMsg.style.display = 'block';
} finally {
// Remove loading state
btnText.style.display = 'block';
loader.style.display = 'none';
analyzeBtn.disabled = false;
}
}
function displayResult(data) {
const resultContainer = document.getElementById('resultContainer');
const sentimentLabel = document.getElementById('sentimentLabel');
const sentimentEmoji = document.getElementById('sentimentEmoji');
const confidenceText = document.getElementById('confidenceText');
const progressFill = document.getElementById('progressFill');
// Determine if positive or negative
// Assume LABEL_1 is positive and LABEL_0 is negative based on common conventions
const isPositive = data.label === 'LABEL_1' || data.label.toLowerCase() === 'positive';
const confidence = (data.score * 100).toFixed(1);
// Update DOM
sentimentLabel.textContent = isPositive ? 'Positive Sentiment' : 'Negative Sentiment';
sentimentLabel.className = `sentiment-label ${isPositive ? 'positive' : 'negative'}`;
sentimentEmoji.textContent = isPositive ? '✨' : '⚠️';
confidenceText.textContent = `${confidence}%`;
progressFill.className = `progress-fill ${isPositive ? 'positive' : 'negative'}`;
// Show container
resultContainer.classList.add('show');
// Animate progress bar slightly after showing container
setTimeout(() => {
progressFill.style.width = `${confidence}%`;
}, 50);
}
// Allow Enter key to submit (Shift+Enter for new line)
document.getElementById('textInput').addEventListener('keydown', function(e) {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
analyzeSentiment();
}
});
</script>
</body>
</html>