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Version 3
8/30/2024
/**
* This code creates a search engine prototype with autocomplete functionality using the Cerebras LLM API.
* It uses React for the frontend and the Cerebras API for generating autocomplete suggestions.
* The suggestions are cached in the browser to reduce API calls.
*/
/** @jsxImportSource https://esm.sh/react */
import React, { useState, useEffect, useRef } from "https://esm.sh/react";
import { createRoot } from "https://esm.sh/react-dom/client";
import debounce from "https://esm.sh/lodash.debounce";
function App() {
const [query, setQuery] = useState("");
const [suggestions, setSuggestions] = useState([]);
const [isLoading, setIsLoading] = useState(false);
const suggestionCache = useRef({});
const fetchSuggestions = async (input) => {
if (suggestionCache.current[input]) {
setSuggestions(suggestionCache.current[input]);
return;
}
setIsLoading(true);
try {
const response = await fetch("/suggestions", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ query: input }),
});
if (!response.ok) throw new Error("Failed to fetch suggestions");
const data = await response.json();
setSuggestions(data);
suggestionCache.current[input] = data;
} catch (error) {
console.error("Error fetching suggestions:", error);
sharanbabu-legitimatetantiger.web.val.run
Updated: August 30, 2024