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import { prebuiltAppConfig, CreateMLCEngine } from "@mlc-ai/web-llm"; |
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import hljs from "highlight.js"; |
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import ace from "ace-builds"; |
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require("ace-builds/src-noconflict/mode-javascript"); |
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require("ace-builds/webpack-resolver"); |
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let engine = null; |
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let useCustomGrammar = false; |
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document.addEventListener("DOMContentLoaded", () => { |
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const modelSelection = document.getElementById("model-selection"); |
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const promptTextarea = document.getElementById("prompt"); |
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const outputDiv = document.getElementById("output"); |
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const statsParagraph = document.getElementById("stats"); |
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const availableModels = prebuiltAppConfig.model_list |
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.filter( |
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(m) => |
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m.model_id.startsWith("SmolLM2") |
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) |
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.map((m) => m.model_id); |
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let selectedModel = availableModels[0]; |
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availableModels.forEach((modelId) => { |
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const option = document.createElement("option"); |
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option.value = modelId; |
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option.textContent = modelId; |
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modelSelection.appendChild(option); |
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}); |
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modelSelection.value = selectedModel; |
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modelSelection.onchange = (e) => { |
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selectedModel = e.target.value; |
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engine = null; |
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}; |
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const jsonSchemaEditor = ace.edit("schema", { |
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mode: "ace/mode/javascript", |
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theme: "ace/theme/github", |
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wrap: true, |
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}); |
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jsonSchemaEditor.setValue(`{ |
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"title": "GitHubIssue", |
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"type": "object", |
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"properties": { |
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"title": { |
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"type": "string", |
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"description": "The title of the issue" |
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}, |
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"description": { |
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"type": "string", |
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"description": "Detailed description of the issue" |
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}, |
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"labels": { |
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"type": "array", |
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"items": { |
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"type": "string", |
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"enum": ["bug", "enhancement", "documentation", "high-priority", "security"] |
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}, |
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"description": "Labels to categorize the issue" |
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}, |
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"priority": { |
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"type": "string", |
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"enum": ["low", "medium", "high", "critical"], |
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"description": "Priority level of the issue" |
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}, |
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"assignees": { |
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"type": "array", |
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"items": { |
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"type": "string" |
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}, |
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"maxItems": 3, |
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"description": "GitHub usernames of assigned users (max 3)" |
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}, |
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"estimated_time": { |
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"type": "string", |
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"pattern": "^[0-9]+[hdwm]$", |
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"description": "Estimated time to resolve (e.g., '2h', '3d', '1w', '1m')" |
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} |
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}, |
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"required": [ |
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"title", |
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"description", |
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"priority", |
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"labels" |
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] |
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}`); |
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promptTextarea.value = `Create a detailed issue for the following problem: |
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The login page is not properly handling password reset requests. Users report that they are not receiving the password reset emails, and when they do receive them, the reset links are sometimes expired. This is affecting about 20% of our users and needs immediate attention. |
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Please include appropriate labels, priority level, and time estimation.`; |
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document.getElementById("generate").onclick = async () => { |
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try { |
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outputDiv.innerHTML = '<div class="loading">Initializing model...</div>'; |
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if (!engine) { |
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engine = await CreateMLCEngine(selectedModel, { |
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initProgressCallback: (progress) => { |
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console.log(progress); |
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outputDiv.innerHTML = `<div class="loading">${progress.text}</div>`; |
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}, |
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}); |
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} |
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const schemaInput = jsonSchemaEditor.getValue(); |
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const schema = JSON.stringify(JSON.parse(schemaInput)); |
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const response_format = { type: "json_object", schema }; |
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const request = { |
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stream: true, |
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stream_options: { include_usage: true }, |
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messages: [{ role: "user", content: promptTextarea.value }], |
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max_tokens: 512, |
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response_format, |
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}; |
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let curMessage = ""; |
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let usage = null; |
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outputDiv.innerHTML = '<div class="loading">Generating response...</div>'; |
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const generator = await engine.chatCompletion(request); |
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for await (const chunk of generator) { |
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const curDelta = chunk.choices[0]?.delta.content; |
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if (curDelta) curMessage += curDelta; |
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if (chunk.usage) { |
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console.log(chunk.usage); |
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usage = chunk.usage; |
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} |
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outputDiv.innerHTML = `<pre><code class="language-json">${curMessage}</code></pre>`; |
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} |
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const finalMessage = await engine.getMessage(); |
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outputDiv.innerHTML = hljs.highlight(finalMessage, { |
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language: "json", |
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}).value; |
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try { |
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const issueData = JSON.parse(finalMessage); |
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updateIssuePreview(issueData); |
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} catch (error) { |
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console.error('Failed to parse issue data:', error); |
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} |
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if (usage) { |
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const statsTextParts = []; |
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if (usage.extra.prefill_tokens_per_s) { |
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statsTextParts.push(`Prefill Speed: ${usage.extra.prefill_tokens_per_s.toFixed(1)} tok/s`); |
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} |
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if (usage.extra.decode_tokens_per_s) { |
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statsTextParts.push(`Decode Speed: ${usage.extra.decode_tokens_per_s.toFixed(1)} tok/s`); |
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} |
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statsParagraph.textContent = statsTextParts.join(" | "); |
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statsParagraph.classList.remove("hidden"); |
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} |
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} catch (error) { |
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console.error("Generation error:", error); |
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outputDiv.innerHTML = `<div class="error">Error: ${error.message}</div>`; |
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} |
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}; |
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}); |
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function updateIssuePreview(issueData) { |
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const preview = document.getElementById('issue-preview'); |
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document.getElementById('preview-title').textContent = issueData.title; |
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const priorityBadge = document.getElementById('preview-priority'); |
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priorityBadge.textContent = issueData.priority.toUpperCase(); |
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priorityBadge.className = `inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-medium priority-${issueData.priority}`; |
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document.getElementById('preview-time-text').textContent = issueData.estimated_time; |
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const labelsContainer = document.getElementById('preview-labels'); |
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labelsContainer.innerHTML = ''; |
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issueData.labels.forEach(label => { |
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const labelEl = document.createElement('span'); |
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labelEl.className = `issue-label label-${label}`; |
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labelEl.textContent = label; |
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labelsContainer.appendChild(labelEl); |
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}); |
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document.getElementById('preview-description').textContent = issueData.description; |
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const assigneesContainer = document.getElementById('preview-assignees'); |
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assigneesContainer.innerHTML = ''; |
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if (issueData.assignees && issueData.assignees.length > 0) { |
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issueData.assignees.forEach(assignee => { |
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const avatarEl = document.createElement('div'); |
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avatarEl.className = 'assignee-avatar'; |
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avatarEl.textContent = assignee.charAt(0).toUpperCase(); |
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assigneesContainer.appendChild(avatarEl); |
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}); |
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} else { |
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assigneesContainer.innerHTML = '<span class="text-sm text-gray-500">No assignees</span>'; |
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} |
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preview.classList.remove('hidden'); |
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preview.offsetHeight; |
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preview.classList.add('visible'); |
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} |
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