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/**
* 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.
* It implements a two-step LLM process: first to get initial suggestions, then to filter them for sensibility and ethics.
* If the second LLM call fails, it displays "Failed to fetch" instead of showing results.
*/
/** @jsxImportSource https://esm.sh/react */
import debounce from "https://esm.sh/lodash.debounce";
import React, { useEffect, useRef, useState } from "https://esm.sh/react";
import { createRoot } from "https://esm.sh/react-dom/client";
function App() {
const [query, setQuery] = useState("");
const [suggestions, setSuggestions] = useState([]);
const [isLoading, setIsLoading] = useState(false);
const [error, setError] = useState("");
const suggestionCache = useRef({});
const fetchSuggestions = async (input) => {
if (suggestionCache.current[input]) {
setSuggestions(suggestionCache.current[input]);
return;
}
setIsLoading(true);
setError("");
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();
if (data.error) {
setError(data.error);
setSuggestions([]);
} else {
setSuggestions(data);
suggestionCache.current[input] = data;
}
} catch (error) {
console.error("Error fetching suggestions:", error);
setError("Failed to fetch");
setSuggestions([]);
} finally {
setIsLoading(false);
}
};
const debouncedFetchSuggestions = useRef(
debounce(fetchSuggestions, 300),
).current;
useEffect(() => {
if (query.length > 2) {
debouncedFetchSuggestions(query);
} else {
setSuggestions([]);
setError("");
}
}, [query]);
return (
<div className="search-container">
<h1>Search Engine Prototype</h1>
<div className="search-box">
<input
type="text"
value={query}
onChange={(e) => setQuery(e.target.value)}
placeholder="Start typing to search..."
/>
{isLoading && <div className="loader"></div>}
</div>
{error && <p className="error">{error}</p>}
{!error && suggestions.length > 0 && (
<ul className="suggestions">
{suggestions.map((suggestion, index) => (
<li key={index} onClick={() => setQuery(suggestion)}>
{suggestion}
</li>
))}
</ul>
)}
<p className="source-link">
<a href={import.meta.url.replace("esm.town", "val.town")} target="_blank">View Source</a>
</p>
</div>
);
}
function client() {
createRoot(document.getElementById("root")).render(<App />);
}
if (typeof document !== "undefined") {
client();