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"use server"
import { parseClap } from "@/lib/clap/parseClap"
import { ClapProject } from "@/lib/clap/types"
import { aitubeApiUrl } from "../config"
export async function generateClap({
prompt = "",
}: {
prompt: string
}): Promise<ClapProject> {
if (!prompt) { throw new Error(`please provide a prompt`) }
// AiTube Stories is nice, but we also need to leave some compute for AiTube Live and AiTube Gaming
const height = 1024
const width = 512
// console.log(`calling `+ gradioApi + (gradioApi.endsWith("/") ? "" : "/") + "api/predict")
// remember: a space needs to be public for the classic fetch() to work
const res = await fetch(`${aitubeApiUrl}generate/story`, {
method: "POST",
headers: {
"Content-Type": "application/json",
// TODO pass the JWT so that only the AI Stories Factory can call the API
// Authorization: `Bearer ${hfApiToken}`,
},
body: JSON.stringify({
prompt,
width,
height
}),
cache: "no-store",
// we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache)
// next: { revalidate: 1 }
})
const blob = await res.blob()
const clap = await parseClap(blob)
return clap
} |