Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
File size: 1,615 Bytes
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import { promises as fs } from "node:fs"
import path from "node:path"
import { Blob } from "buffer"
import { client } from "@gradio/client"
import tmpDir from "temp-dir"
import { downloadFileToTmp } from '../utils/downloadFileToTmp.mts'
export const state = {
load: 0
}
const instances: string[] = [
process.env.VC_VIDEO_INTERPOLATION_SPACE_API_URL
]
export const interpolateVideo = async (fileName: string, steps: number, fps: number) => {
if (state.load === instances.length) {
throw new Error(`all video interpolation servers are busy, try again later..`)
}
state.load += 1
try {
const inputFilePath = path.join(tmpDir, fileName)
const instance = instances.shift()
instances.push(instance)
const api = await client(instance, {
hf_token: `${process.env.VC_HF_API_TOKEN}` as any
})
const video = await fs.readFile(inputFilePath)
const blob = new Blob([video], { type: 'video/mp4' })
// const blob = blobFrom(filePath)
const result = await api.predict(1, [
blob, // blob in 'parameter_5' Video component
steps, // number (numeric value between 1 and 4) in 'Interpolation Steps' Slider component
fps, // string (FALSE! it's a number) in 'FPS output' Radio component
])
const data = (result as any).data[0]
console.log('raw data:', data)
const { orig_name, data: remoteFilePath } = data
const remoteUrl = `${instance}/file=${remoteFilePath}`
console.log("remoteUrl:", remoteUrl)
await downloadFileToTmp(remoteUrl, fileName)
} catch (err) {
throw err
} finally {
state.load -= 1
}
} |