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import { LLM_SUMMERIZATION } from "$env/static/private"; | |
import { generateFromDefaultEndpoint } from "$lib/server/generateFromDefaultEndpoint"; | |
import type { Message } from "$lib/types/Message"; | |
export async function summarize(prompt: string) { | |
if (!LLM_SUMMERIZATION) { | |
return prompt.split(/\s+/g).slice(0, 5).join(" "); | |
} | |
const messages: Array<Omit<Message, "id">> = [ | |
{ from: "user", content: "Who is the president of Gabon?" }, | |
{ from: "assistant", content: "π¬π¦ President of Gabon" }, | |
{ from: "user", content: "Who is Julien Chaumond?" }, | |
{ from: "assistant", content: "π§ Julien Chaumond" }, | |
{ from: "user", content: "what is 1 + 1?" }, | |
{ from: "assistant", content: "π’ Simple math operation" }, | |
{ from: "user", content: "What are the latest news?" }, | |
{ from: "assistant", content: "π° Latest news" }, | |
{ from: "user", content: "How to make a great cheesecake?" }, | |
{ from: "assistant", content: "π° Cheesecake recipe" }, | |
{ from: "user", content: "what is your favorite movie? do a short answer." }, | |
{ from: "assistant", content: "π₯ Favorite movie" }, | |
{ from: "user", content: "Explain the concept of artificial intelligence in one sentence" }, | |
{ from: "assistant", content: "π€ AI definition" }, | |
{ from: "user", content: prompt }, | |
]; | |
return await generateFromDefaultEndpoint({ | |
messages, | |
preprompt: `You are a summarization AI. You'll never answer a user's question directly, but instead summarize the user's request into a single short sentence of four words or less. Always start your answer with an emoji relevant to the summary.`, | |
}) | |
.then((summary) => { | |
// add an emoji if none is found in the first three characters | |
if (!/\p{Emoji}/u.test(summary.slice(0, 3))) { | |
return "π¬ " + summary; | |
} | |
return summary; | |
}) | |
.catch((e) => { | |
console.error(e); | |
return null; | |
}); | |
} | |