Mercurial
view asyncio_threads/frontend/main.js @ 275:78699f810817
Add Qwen3-VL and WebRTC dictation services
Add Bazel targets for the CUDA-backed Qwen3-VL server and a local WebRTC faster-whisper dictation service.
Co-authored-by: Copilot <[email protected]>
Copilot-Session: e3d8cb06-6c95-4ae0-9757-651d3796ab00
| author | MrJuneJune <me@mrjunejune.com> |
|---|---|
| date | Mon, 17 Aug 2026 10:58:47 -0700 |
| parents | 46daba6e3cf4 |
| children |
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// Develop a TypeAhead input component that filters a dataset based on user entry. Implement a debounce mechanism to optimize performance by limiting the frequency of function execution during typing. Apply text processing logic to identify and visually highlight the specific substrings within the results that match the user's input. // // 3. text processing logic which ones... let previousId = 0; const inputEle = document.getElementById("search"); const divSuggestion = document.getElementById("suggestion"); const tries = {} const userNames = [ "Ephemeral", "Mellifluous", "Ubiquitous", "Voracious", "Serendipity", "Quixotic", "Languid", "Ephemeral", "Susurrus", "Ebullient", "Petrichor", "Ineluctable", "Platitude", "Ennui", "Axiom", "Cacophony", "Halcyon", "Ineffable", "Juxtapose", "Lugubrious", "Nefarious", "Ostracize", "Pernicious", "Ruminate", "Solipsism", "Taciturn", "Wanderlust", "Zephyr", "Discombobulate", "Esoteric", "Incendiary", "Kudos", "Misanthrope", "Pensive", "Quagmire", "Ramify", "Stymie", "Unctuous", "Vex", "Wistful", "Banal", "Dichotomy", "Fecund", "Garrulous", "Hegemony", "Imbroglio", "Knell", "Mirth", "Obfuscate", "Parsimonious", ] function createTries(word) { curr = tries for (let letter of word.toLowerCase()) { if (!curr[letter]) { curr[letter] = {}; } if (!curr[letter]["#"]) { curr[letter]["#"] = [] curr[letter]["#"].push(word) } else { curr[letter]["#"].push(word) } curr = curr[letter]; } } userNames.forEach((word) => createTries(word)); function findWord(word) { const results = new Set() function dfs(currTries, currWordPosition, fuzz_search, curr_sequential, max_sequential = 0) { if (currWordPosition === word.length || fuzz_search > 1) { console.log(currTries, currWordPosition, fuzz_search, curr_sequential, max_sequential) if (max_sequential >= 2) { currTries['#'].forEach((word) => results.add(word)); console.log("hello") } return; } letter = word[currWordPosition].toLowerCase(); Object.keys(currTries).forEach((key) => { if (key === '#') return; dfs(currTries[key], currWordPosition + 1, (key != letter) ? fuzz_search + 1 : fuzz_search, (key == letter) ? curr_sequential + 1 : 0, Math.max((key == letter) ? curr_sequential + 1 : 0, max_sequential) ); }) } dfs(tries, 0, 0, 0) return results; } function populateSuggestions(inputValue) { const words = findWord(inputValue); divSuggestion.innerHTML = ""; for (let word of words) { let res = ""; const lowerInput = inputValue.toLowerCase(); for (let letter of word) { if (lowerInput.includes(letter.toLowerCase())) { res += `<span style="color: red;">${letter}</span>`; } else { res += letter; } } divSuggestion.innerHTML += res + "<br>"; } } let i = 0 inputEle.addEventListener('keypress', () => { if (previousId) { clearTimeout(previousId); } previousId = setTimeout(() => populateSuggestions(inputEle.value), 500); // 1, 2, 3 })