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<title>LLM Hill Climber - HuggingFace Spaces</title>
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</head>
<body>
<div class="header">
<h1>🧬 LLM Hill Climber</h1>
<p>Efficient program evolution using StarCoder2-3B on HuggingFace Spaces</p>
</div>
<div class="spaces-info">
<h3>🚀 HuggingFace Spaces Deployment</h3>
<p><strong>Model:</strong> bigcode/starcoder2-3b (specialized coding AI) • <strong>Strategy:</strong> Single mutation per generation • <strong>Auth:</strong> Add your HF token above or get one free at <a href="https://huggingface.co/settings/tokens" target="_blank" style="color: #667eea;">huggingface.co/settings/tokens</a></p>
</div>
<div class="container">
<!-- Left Panel: Problem Setup & Controls -->
<div class="panel">
<h2>🎯 Problem Configuration</h2>
<div class="model-info">
<h4>🤖 AI Model Selection</h4>
<select id="modelSelect" style="width: 100%; padding: 8px; border: 2px solid #e0e0e0; border-radius: 6px; margin-bottom: 10px;">
<option value="starcoder2-3b">StarCoder2-3B (Recommended)</option>
<option value="starcoder2-7b">StarCoder2-7B (Better quality)</option>
<option value="codellama-7b">CodeLlama-7B (Alternative)</option>
<option value="codebert-base">CodeBERT-Base (Fallback)</option>
</select>
<p style="margin-bottom: 10px;">Specialized coding models by BigCode and Meta. Excellent at JavaScript generation.</p>
<div style="margin-top: 10px;">
<label for="hfToken" style="font-weight: bold; display: block; margin-bottom: 5px;">HuggingFace Token:</label>
<input type="password" id="hfToken" placeholder="hf_xxxxx... (required for API access)" style="width: 100%; padding: 8px; border: 2px solid #e0e0e0; border-radius: 6px;">
<small style="color: #666;">Get a free token at <a href="https://huggingface.co/settings/tokens" target="_blank">huggingface.co/settings/tokens</a></small>
</div>
</div>
<div class="problem-selector">
<select id="problemSelect">
<option value="">Select a coding problem...</option>
<option value="palindrome">Palindrome Checker</option>
<option value="two_sum">Two Sum Problem</option>
<option value="fibonacci">Fibonacci Generator</option>
<option value="prime_check">Prime Number Checker</option>
<option value="reverse_string">String Reversal</option>
<option value="max_subarray">Maximum Subarray Sum</option>
<option value="binary_search">Binary Search</option>
<option value="anagram_check">Anagram Checker</option>
</select>
</div>
<div class="problem-details" id="problemDetails">
<h3>Select a problem to begin</h3>
<p>Choose a programming challenge for the AI to evolve solutions for.</p>
</div>
<div class="settings">
<div class="setting-group">
<label for="maxGenerations">Max Generations:</label>
<input type="number" id="maxGenerations" value="12" min="5" max="25">
</div>
<div class="setting-group">
<label for="temperature">Temperature:</label>
<input type="range" id="temperature" value="0.3" min="0.1" max="0.8" step="0.1">
</div>
<div class="setting-group">
<label for="maxTokens">Max Tokens:</label>
<input type="number" id="maxTokens" value="384" min="256" max="512" step="64">
</div>
<div class="setting-group">
<label for="retryDelay">Retry Delay (ms):</label>
<input type="number" id="retryDelay" value="2000" min="1000" max="5000" step="500">
</div>
</div>
<div class="api-efficiency">
<h4>⚡ API Efficiency</h4>
<p><strong>Single Mutation Strategy:</strong> One API call per generation for maximum efficiency. Estimated total: <span id="estimatedCalls">12</span> API calls.</p>
</div>
<div class="controls">
<button class="btn btn-primary" id="startBtn">🚀 Start Evolution</button>
<button class="btn btn-danger" id="stopBtn" disabled>⏹️ Stop</button>
</div>
<div class="status status-idle" id="status">
Ready to evolve JavaScript programs
</div>
<div class="progress-section">
<div class="progress-bar">
<div class="progress-fill" id="progressFill"></div>
</div>
<div class="progress-text" id="progressText">0 / 0 generations</div>
</div>
<h2>📊 Fitness Evolution</h2>
<div class="fitness-chart">
<canvas id="fitnessChart" width="400" height="200"></canvas>
</div>
</div>
<!-- Right Panel: Evolution Progress & Results -->
<div class="panel">
<h2>🔬 Evolution Progress</h2>
<div class="evolution-log" id="evolutionLog">
Ready to start evolution process...
🧬 Hill Climber Algorithm:
• Generate initial solution with StarCoder2-3B
• Each generation: create one mutation
• Keep mutation if fitness improves
• Stop when perfect solution found or max generations reached
</div>
<h2>💻 Current Best Solution</h2>
<div class="current-solution" id="currentSolution">
<p style="text-align: center; color: #666; padding: 20px;">
No solution generated yet
</p>
</div>
<div class="best-solution" id="bestSolution" style="display: none;">
<h3>🏆 Final Best Solution</h3>
<div id="bestSolutionCode"></div>
<div id="bestSolutionStats"></div>
</div>
</div>
</div>
<script>
// Model options for different scenarios
const MODELS = {
'starcoder2-3b': 'https://api-inference.huggingface.co/models/bigcode/starcoder2-3b',
'starcoder2-7b': 'https://api-inference.huggingface.co/models/bigcode/starcoder2-7b',
'codellama-7b': 'https://api-inference.huggingface.co/models/codellama/CodeLlama-7b-Instruct-hf',
'codebert-base': 'https://api-inference.huggingface.co/models/microsoft/codebert-base'
};
// Default model
let MODEL_URL = MODELS['starcoder2-3b'];
// Problem definitions optimized for StarCoder2
const PROBLEMS = {
palindrome: {
name: "Palindrome Checker",
description: "Write a JavaScript function that checks if a string is a palindrome (reads the same forwards and backwards). Ignore case and non-alphanumeric characters.",
functionName: "isPalindrome",
parameters: "s",
testCases: [
{ input: ["racecar"], expected: true },
{ input: ["A man a plan a canal Panama"], expected: true },
{ input: ["race a car"], expected: false },
{ input: [""], expected: true },
{ input: ["Madam"], expected: true }
]
},
two_sum: {
name: "Two Sum Problem",
description: "Given an array of integers and a target sum, return the indices of two numbers that add up to the target. Assume exactly one solution exists.",
functionName: "twoSum",
parameters: "nums, target",
testCases: [
{ input: [[2, 7, 11, 15], 9], expected: [0, 1] },
{ input: [[3, 2, 4], 6], expected: [1, 2] },
{ input: [[3, 3], 6], expected: [0, 1] },
{ input: [[1, 5, 3, 7], 8], expected: [1, 3] }
]
},
fibonacci: {
name: "Fibonacci Generator",
description: "Generate the nth Fibonacci number efficiently. Handle edge cases for n=0 and n=1.",
functionName: "fibonacci",
parameters: "n",
testCases: [
{ input: [0], expected: 0 },
{ input: [1], expected: 1 },
{ input: [2], expected: 1 },
{ input: [10], expected: 55 },
{ input: [15], expected: 610 }
]
},
prime_check: {
name: "Prime Number Checker",
description: "Determine if a given positive integer is a prime number. A prime number is only divisible by 1 and itself.",
functionName: "isPrime",
parameters: "n",
testCases: [
{ input: [2], expected: true },
{ input: [3], expected: true },
{ input: [4], expected: false },
{ input: [17], expected: true },
{ input: [25], expected: false },
{ input: [1], expected: false }
]
},
reverse_string: {
name: "String Reversal",
description: "Write a function that reverses a string. Handle empty strings appropriately.",
functionName: "reverseString",
parameters: "s",
testCases: [
{ input: ["hello"], expected: "olleh" },
{ input: ["world"], expected: "dlrow" },
{ input: [""], expected: "" },
{ input: ["a"], expected: "a" },
{ input: ["JavaScript"], expected: "tpircSavaJ" }
]
},
max_subarray: {
name: "Maximum Subarray Sum",
description: "Find the contiguous subarray with the largest sum and return the sum (Kadane's algorithm).",
functionName: "maxSubarraySum",
parameters: "nums",
testCases: [
{ input: [[-2, 1, -3, 4, -1, 2, 1, -5, 4]], expected: 6 },
{ input: [[1]], expected: 1 },
{ input: [[5, 4, -1, 7, 8]], expected: 23 },
{ input: [[-1]], expected: -1 }
]
},
binary_search: {
name: "Binary Search",
description: "Implement binary search to find the index of a target value in a sorted array. Return -1 if not found.",
functionName: "binarySearch",
parameters: "arr, target",
testCases: [
{ input: [[-1, 0, 3, 5, 9, 12], 9], expected: 4 },
{ input: [[-1, 0, 3, 5, 9, 12], 2], expected: -1 },
{ input: [[1, 2, 3, 4, 5], 1], expected: 0 },
{ input: [[1, 2, 3, 4, 5], 5], expected: 4 }
]
},
anagram_check: {
name: "Anagram Checker",
description: "Check if two strings are anagrams of each other. Ignore case and spaces.",
functionName: "areAnagrams",
parameters: "s1, s2",
testCases: [
{ input: ["listen", "silent"], expected: true },
{ input: ["evil", "vile"], expected: true },
{ input: ["hello", "bello"], expected: false },
{ input: ["A gentleman", "Elegant man"], expected: true }
]
}
};
// Hill Climber state
let isRunning = false;
let currentGeneration = 0;
let maxGenerations = 12;
let currentProblem = null;
let currentSolution = null;
let bestSolution = null;
let bestFitness = -1;
let fitnessHistory = [];
let chart = null;
let apiCallCount = 0;
// DOM elements
const problemSelect = document.getElementById('problemSelect');
const problemDetails = document.getElementById('problemDetails');
const startBtn = document.getElementById('startBtn');
const stopBtn = document.getElementById('stopBtn');
const status = document.getElementById('status');
const progressFill = document.getElementById('progressFill');
const progressText = document.getElementById('progressText');
const evolutionLog = document.getElementById('evolutionLog');
const currentSolutionDiv = document.getElementById('currentSolution');
const bestSolutionDiv = document.getElementById('bestSolution');
const estimatedCalls = document.getElementById('estimatedCalls');
// Initialize
initializeChart();
setupEventListeners();
function initializeChart() {
const ctx = document.getElementById('fitnessChart').getContext('2d');
chart = new Chart(ctx, {
type: 'line',
data: {
labels: [],
datasets: [{
label: 'Fitness Score',
data: [],
borderColor: '#667eea',
backgroundColor: 'rgba(102, 126, 234, 0.1)',
tension: 0.4,
fill: true
}]
},
options: {
responsive: true,
scales: {
y: {
beginAtZero: true,
max: 1
}
},
plugins: {
legend: {
display: false
}
}
}
});
}
function setupEventListeners() {
problemSelect.addEventListener('change', handleProblemSelect);
startBtn.addEventListener('click', startEvolution);
stopBtn.addEventListener('click', stopEvolution);
// Model selector
document.getElementById('modelSelect').addEventListener('change', (e) => {
MODEL_URL = MODELS[e.target.value];
log(`Model changed to: ${e.target.options[e.target.selectedIndex].text}`);
});
// Update estimated API calls when generations change
document.getElementById('maxGenerations').addEventListener('input', (e) => {
estimatedCalls.textContent = e.target.value;
});
}
function handleProblemSelect() {
const selectedProblem = problemSelect.value;
if (selectedProblem) {
currentProblem = PROBLEMS[selectedProblem];
displayProblemDetails(currentProblem);
startBtn.disabled = false;
} else {
currentProblem = null;
problemDetails.innerHTML = `
<h3>Select a problem to begin</h3>
<p>Choose a programming challenge for the AI to evolve solutions for.</p>
`;
startBtn.disabled = true;
}
}
function displayProblemDetails(problem) {
const testCasesText = problem.testCases.map((tc, i) =>
`Test ${i + 1}: ${problem.functionName}(${tc.input.map(inp => JSON.stringify(inp)).join(', ')}) → ${JSON.stringify(tc.expected)}`
).join('\n');
problemDetails.innerHTML = `
<h3>${problem.name}</h3>
<p><strong>Description:</strong> ${problem.description}</p>
<p><strong>Function signature:</strong> <code>function ${problem.functionName}(${problem.parameters}) { ... }</code></p>
<div class="test-cases">${testCasesText}</div>
`;
}
async function startEvolution() {
if (!currentProblem) {
alert('Please select a problem first');
return;
}
// Check for HF token
const hfToken = document.getElementById('hfToken').value.trim();
if (!hfToken) {
alert('Please add your HuggingFace token above. Get a free one at: https://huggingface.co/settings/tokens');
return;
}
if (!hfToken.startsWith('hf_')) {
alert('Invalid token format. HuggingFace tokens start with "hf_"');
return;
}
isRunning = true;
currentGeneration = 0;
maxGenerations = parseInt(document.getElementById('maxGenerations').value);
fitnessHistory = [];
bestSolution = null;
bestFitness = -1;
apiCallCount = 0;
updateUI();
updateStatus('running', 'Evolution in progress...');
log('🚀 Starting evolution with StarCoder2-3B...');
log(`Problem: ${currentProblem.name}`);
log(`Strategy: Single mutation per generation (API efficient)`);
log(`Max generations: ${maxGenerations}`);
log('');
try {
// Step 1: Generate initial solution
log('🔬 Generating initial solution...');
currentSolution = await generateInitialSolution();
apiCallCount++;
if (!currentSolution) {
throw new Error('Failed to generate initial solution');
}
log(`✅ Initial solution generated (API calls: ${apiCallCount})`);
// Evaluate initial solution
let currentFitness = evaluateSolution(currentSolution);
fitnessHistory.push(currentFitness);
bestSolution = currentSolution;
bestFitness = currentFitness;
log(`Initial fitness: ${currentFitness.toFixed(3)} (${Math.round(currentFitness * currentProblem.testCases.length)}/${currentProblem.testCases.length} tests)`);
updateProgress();
updateChart();
updateCurrentSolution();
// Step 2: Evolution loop
for (currentGeneration = 1; currentGeneration <= maxGenerations && isRunning; currentGeneration++) {
log(`\n📈 Generation ${currentGeneration}/${maxGenerations}`);
// Check if perfect solution found
if (currentFitness >= 1.0) {
log('🎉 Perfect solution found! Stopping evolution.');
break;
}
// Generate single mutation
log('🧬 Generating mutation...');
const mutatedSolution = await mutateSolution(currentSolution, currentFitness);
apiCallCount++;
if (!mutatedSolution) {
log('⚠️ Mutation failed, keeping current solution');
continue;
}
// Evaluate mutation
const mutatedFitness = evaluateSolution(mutatedSolution);
log(`Mutation fitness: ${mutatedFitness.toFixed(3)} (${Math.round(mutatedFitness * currentProblem.testCases.length)}/${currentProblem.testCases.length} tests)`);
// Hill Climber decision: accept if better or equal
if (mutatedFitness >= currentFitness) {
currentSolution = mutatedSolution;
currentFitness = mutatedFitness;
log('✅ Mutation accepted (fitness improved or maintained)');
// Update best solution
if (mutatedFitness > bestFitness) {
bestSolution = mutatedSolution;
bestFitness = mutatedFitness;
log('✨ New best solution found!');
}
} else {
log('❌ Mutation rejected (fitness decreased)');
}
fitnessHistory.push(Math.max(currentFitness, bestFitness));
log(`API calls used: ${apiCallCount}`);
updateProgress();
updateChart();
updateCurrentSolution();
// Add delay to be respectful to API
const delay = parseInt(document.getElementById('retryDelay').value);
await new Promise(resolve => setTimeout(resolve, delay));
}
// Evolution complete
if (isRunning) {
updateStatus('complete', `Evolution completed! Best fitness: ${bestFitness.toFixed(3)}`);
log(`\n🏁 Evolution completed!`);
log(`Best fitness: ${bestFitness.toFixed(3)}`);
log(`Total API calls: ${apiCallCount}`);
showBestSolution();
}
} catch (error) {
updateStatus('error', `Error: ${error.message}`);
log(`❌ Error: ${error.message}`);
console.error('Evolution error:', error);
} finally {
isRunning = false;
updateUI();
}
}
function stopEvolution() {
isRunning = false;
updateStatus('idle', 'Evolution stopped by user');
log('\n⏹️ Evolution stopped by user');
updateUI();
}
async function generateInitialSolution() {
const prompt = `Write a JavaScript function to solve this coding problem:
**Problem:** ${currentProblem.description}
**Function signature:** function ${currentProblem.functionName}(${currentProblem.parameters}) { }
**Test cases:**
${currentProblem.testCases.map(tc =>
`${currentProblem.functionName}(${tc.input.map(inp => JSON.stringify(inp)).join(', ')}) should return ${JSON.stringify(tc.expected)}`
).join('\n')}
Write only the complete JavaScript function with proper logic to pass all test cases:`;
return await callStarCoder(prompt);
}
async function mutateSolution(solution, currentFitness) {
const failingCases = [];
const passingCases = [];
for (const testCase of currentProblem.testCases) {
const result = executeTestCase(solution, testCase);
if (result.passed) {
passingCases.push(testCase);
} else {
failingCases.push({...testCase, actualOutput: result.actualOutput});
}
}
let prompt;
if (failingCases.length > 0) {
// Focus on fixing failing cases
prompt = `Fix this JavaScript function to pass all test cases:
**Current function:**
${solution}
**Failing test cases:**
${failingCases.map(fc =>
`${currentProblem.functionName}(${fc.input.map(inp => JSON.stringify(inp)).join(', ')}) returns ${JSON.stringify(fc.actualOutput)} but should return ${JSON.stringify(fc.expected)}`
).join('\n')}
**Passing test cases:** ${passingCases.length}/${currentProblem.testCases.length}
Write the improved JavaScript function:`;
} else {
// Optimize already working solution
prompt = `Optimize this working JavaScript function for better performance or readability:
**Current function:**
${solution}
**All test cases are passing**
Write an optimized version of the JavaScript function:`;
}
return await callStarCoder(prompt);
}
async function callStarCoder(prompt) {
const maxTokens = parseInt(document.getElementById('maxTokens').value);
const temperature = parseFloat(document.getElementById('temperature').value);
// Get HF token from user input
const hfToken = document.getElementById('hfToken').value.trim();
try {
const response = await fetch(MODEL_URL, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${hfToken}`
},
body: JSON.stringify({
inputs: prompt,
parameters: {
max_new_tokens: maxTokens,
temperature: temperature,
top_p: 0.9,
do_sample: true,
return_full_text: false
}
})
});
if (!response.ok) {
if (response.status === 401) {
throw new Error('Authentication failed. Please add a valid HuggingFace token above.');
}
if (response.status === 503) {
log('⚠️ Model loading, retrying in 10s...');
await new Promise(resolve => setTimeout(resolve, 10000));
return await callStarCoder(prompt);
}
if (response.status === 429) {
throw new Error('Rate limit exceeded. Please wait and try again, or use your own HF token.');
}
throw new Error(`API request failed: ${response.status} ${response.statusText}`);
}
const data = await response.json();
if (data.error) {
throw new Error(data.error);
}
let generatedText = data[0]?.generated_text || '';
// Clean and extract JavaScript function
return extractJavaScriptFunction(generatedText);
} catch (error) {
log(`⚠️ API call failed: ${error.message}`);
throw error;
}
}
function extractJavaScriptFunction(text) {
// Clean the generated text
text = text.trim();
// Look for function definition
const functionMatch = text.match(/function\s+\w+[^{]*\{[^]*?\n}/);
if (functionMatch) {
return functionMatch[0];
}
// Look for arrow function
const arrowMatch = text.match(/const\s+\w+\s*=\s*\([^)]*\)\s*=>\s*\{[^]*?\n}/);
if (arrowMatch) {
return arrowMatch[0];
}
// If no clear function found, try to construct one
if (currentProblem) {
const lines = text.split('\n').filter(line => line.trim());
if (lines.length > 0) {
return `function ${currentProblem.functionName}(${currentProblem.parameters}) {\n ${lines.join('\n ')}\n}`;
}
}
return text;
}
function evaluateSolution(solution) {
let passedTests = 0;
for (const testCase of currentProblem.testCases) {
const result = executeTestCase(solution, testCase);
if (result.passed) {
passedTests++;
}
}
return passedTests / currentProblem.testCases.length;
}
function executeTestCase(solution, testCase) {
try {
const func = new Function(`
${solution}
return ${currentProblem.functionName}(...arguments);
`);
const actualOutput = func(...testCase.input);
const passed = JSON.stringify(actualOutput) === JSON.stringify(testCase.expected);
return { passed, actualOutput };
} catch (error) {
return { passed: false, actualOutput: `Error: ${error.message}` };
}
}
function updateUI() {
startBtn.disabled = isRunning || !currentProblem;
stopBtn.disabled = !isRunning;
problemSelect.disabled = isRunning;
}
function updateStatus(type, message) {
status.className = `status status-${type}`;
if (type === 'running') {
status.innerHTML = `<span class="spinner"></span>${message}`;
} else {
status.textContent = message;
}
}
function updateProgress() {
const progress = (currentGeneration / maxGenerations) * 100;
progressFill.style.width = `${progress}%`;
progressText.textContent = `${currentGeneration} / ${maxGenerations} generations`;
}
function updateChart() {
chart.data.labels.push(currentGeneration === 0 ? 'Initial' : `Gen ${currentGeneration}`);
chart.data.datasets[0].data.push(fitnessHistory[fitnessHistory.length - 1]);
chart.update('none');
}
function updateCurrentSolution() {
if (bestSolution) {
currentSolutionDiv.innerHTML = `
<pre><code class="language-javascript">${escapeHtml(bestSolution)}</code></pre>
`;
hljs.highlightAll();
}
}
function showBestSolution() {
if (bestSolution) {
const passedTests = Math.round(bestFitness * currentProblem.testCases.length);
const totalTests = currentProblem.testCases.length;
document.getElementById('bestSolutionCode').innerHTML = `
<pre><code class="language-javascript">${escapeHtml(bestSolution)}</code></pre>
`;
document.getElementById('bestSolutionStats').innerHTML = `
<p><strong>Final Fitness:</strong> ${bestFitness.toFixed(3)}</p>
<p><strong>Test Cases Passed:</strong> ${passedTests} / ${totalTests}</p>
<p><strong>Generations Required:</strong> ${currentGeneration}</p>
<p><strong>Total API Calls:</strong> ${apiCallCount}</p>
<p><strong>Model Used:</strong> StarCoder2-3B</p>
`;
bestSolutionDiv.style.display = 'block';
hljs.highlightAll();
}
}
function log(message) {
evolutionLog.innerHTML += message + '\n';
evolutionLog.scrollTop = evolutionLog.scrollHeight;
}
function escapeHtml(text) {
const map = {
'&': '&',
'<': '<',
'>': '>',
'"': '"',
"'": '''
};
return text.replace(/[&<>"']/g, function(m) { return map[m]; });
}
// Initialize
log('🧬 LLM Hill Climber ready!');
log('🤖 Using StarCoder2-3B for code generation');
log('⚡ Single mutation strategy for API efficiency');
log('🚀 Select a problem to begin evolution');
log('');
</script>
</body>
</html> |