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| import { Blob } from "node:buffer" | |
| import express from "express" | |
| import bodyParser from "body-parser" | |
| import queryString from "query-string" | |
| import { parseClap, ClapProject, serializeClap } from "@aitube/clap" | |
| import { parseScriptToClap } from "@aitube/broadway" | |
| import { readLocalOrRemotePlainText } from "@aitube/io" | |
| const app = express() | |
| const port = 3000 | |
| process.on('unhandledRejection', (reason: string, p: Promise<any>) => { | |
| console.error('Unhandled Rejection at:', p, 'reason:', reason); | |
| }) | |
| process.on('uncaughtException', (error: Error) => { | |
| console.error(`Caught exception: ${error}\n` + `Exception origin: ${error.stack}`); | |
| }) | |
| // fix this error: "PayloadTooLargeError: request entity too large" | |
| // there are multiple version because.. yeah well, it's Express! | |
| // app.use(bodyParser.json({limit: '50mb'})); | |
| //app.use(bodyParser.urlencoded({limit: '50mb', extended: true})); | |
| // app.use(express.json({ limit: '5mb' })); | |
| app.use(express.urlencoded({ limit: '8mb', extended: true })); | |
| app.use(bodyParser.text({ limit: '8mb' })); | |
| app.get("/", async (req, res) => { | |
| res.status(200) | |
| res.write(`<html> | |
| <head></head> | |
| <body style="display: flex; | |
| align-items: center; | |
| justify-content: center; | |
| background-color: #000000; | |
| opacity: 1; | |
| background-image: repeating-radial-gradient( circle at 0 0, transparent 0, #000000 7px ), repeating-linear-gradient( #34353655, #343536 ); | |
| "> | |
| <div style=""> | |
| <p style=""> | |
| <h1 style=" | |
| color: rgba(255,255,255,0.9); | |
| font-size: 4.5vw; | |
| text-shadow: #000 1px 0 3px; | |
| font-family: Helvetica Neue, Helvetica, sans-serif; | |
| font-weight: 100; | |
| ">Broadway <span style="font-weight: 400">API</span></h1> | |
| <pre style="color: rgba(255,255,255,0.7); font-size: 2vw; text-shadow: #000 1px 0 3px; font-family: monospace;"> | |
| $ curl -o screenplay.clap \\ | |
| -X POST \\ | |
| --data-binary @path/to/screenplay.txt \\ | |
| https://jbilcke-hf-broadway-api.hf.space | |
| </pre> | |
| <br/> | |
| </p> | |
| </div> | |
| </body> | |
| <html>`) | |
| res.end() | |
| }) | |
| // the export robot has only one job: to export .clap files | |
| app.post("/", async (req, res) => { | |
| const qs = queryString.parseUrl(req.url || "") | |
| const query = (qs || {}).query | |
| const body = typeof req.body === "string" | |
| ? req.body | |
| : Object.keys(req.body)?.at(0) || "" | |
| console.log(`received a POST request to convert a script:\n"${body.slice(0, 120)}..."`) | |
| try { | |
| const content: string = await readLocalOrRemotePlainText(body) | |
| const clap: ClapProject = await parseScriptToClap(content) | |
| const blob = await serializeClap(clap) | |
| const arrayBuffer = await blob.arrayBuffer() | |
| res.status(200) | |
| res.type('application/x-gzip') | |
| res.send(Buffer.from(arrayBuffer)) | |
| } catch (err) { | |
| console.error(`Failed to parse the script: ${err}`) | |
| res.status(500) | |
| res.type('text/plain') | |
| res.send(`Failed to parse the script: ${err}`) | |
| } | |
| }) | |
| app.listen(port, () => { | |
| console.log(`Open http://localhost:${port}`) | |
| }) |