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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 = `${process.env.INTERPOLATION_API_REPLICATE_MODEL_VERSION || ""}`
export async function interpolateReplicate(input: string): Promise<string> {
if (!replicateToken) {
throw new Error(`you need to configure your AUTH_REPLICATE_API_TOKEN in order to use interpolation`)
}
if (!replicateModel) {
throw new Error(`you need to configure your INTERPOLATION_API_REPLICATE_MODEL in order to use interpolation`)
}
if (!replicateModelVersion) {
throw new Error(`you need to configure your INTERPOLATION_API_REPLICATE_MODEL_VERSION in order to use interpolation`)
}
const replicate = new Replicate({ auth: replicateToken })
const prediction = await replicate.predictions.create({
version: replicateModelVersion,
input: {
mp4: input,
framerate_multiplier: 4,
keep_original_duration: true,
}
})
let res: Response
let pollingCount = 0
do {
// This is normally a fast model, so let's check every 4 seconds
await sleep(4000)
res = await fetch(`https://api.replicate.com/v1/predictions/${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)
} |