import Replicate from "replicate" import { sleep } from "@/lib/sleep" const replicateToken = `${process.env.AUTH_REPLICATE_API_TOKEN || ""}` const replicateModel = `${process.env.INTERPOLATION_API_REPLICATE_MODEL || ""}` const replicateModelVersion = `${process.env.INTERPOLATION_API_REPLICATE_MODEL_VERSION || ""}` export async function interpolateReplicate(input: string): Promise { if (!replicateToken) { throw new Error(`you need to configure your AUTH_REPLICATE_API_TOKEN in order to use interpolation`) } if (!replicateModel) { throw new Error(`you need to configure your INTERPOLATION_API_REPLICATE_MODEL in order to use interpolation`) } if (!replicateModelVersion) { throw new Error(`you need to configure your INTERPOLATION_API_REPLICATE_MODEL_VERSION in order to use interpolation`) } const replicate = new Replicate({ auth: replicateToken }) const prediction = await replicate.predictions.create({ version: replicateModelVersion, input: { mp4: input, framerate_multiplier: 4, keep_original_duration: true, } }) let res: Response let pollingCount = 0 do { // This is normally a fast model, so let's check every 4 seconds await sleep(4000) res = await fetch(`https://api.replicate.com/v1/predictions/${prediction.id}`, { method: "GET", headers: { Authorization: `Token ${replicateToken}`, }, cache: 'no-store', }) // console.log("res:", res) /* try { const text = await res.text() console.log("res.text:", text) } catch (err) { console.error("res.text() error:", err) } */ if (res.status === 200) { try { const response = (await res.json()) as any const error = `${response?.error || ""}` if (error) { throw new Error(error) } if (response.status === "succeeded") { return response.output.pop() } } catch (err) { console.error("res.json() error:", err) } } pollingCount++ // To prevent indefinite polling, we can stop after a certain number if (pollingCount >= 20) { throw new Error('Request time out.') } } while (true) }