← OpenAI (ChatGPT)

Create Transcription (Whisper) with OpenAI (ChatGPT) API

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Create Transcription (Whisper) with the OpenAI (ChatGPT) API
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Getting Started

Create a workflow to Create Transcription (Whisper) with the OpenAI (ChatGPT) API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Configure the Create Transcription (Whisper) action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Audio Upload Type
    3. Optional- Select a Language
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger

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Details

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Create Transcription (Whisper) on OpenAI (ChatGPT)
Description:Transcribes audio into the input language. [See the documentation](https://platform.openai.com/docs/api-reference/audio/create).
Version:0.1.9
Key:openai-create-transcription

Code

import ffmpegInstaller from "@ffmpeg-installer/ffmpeg";
import { ConfigurationError } from "@pipedream/platform";
import axios from "axios";
import Bottleneck from "bottleneck";
import { exec } from "child_process";
import FormData from "form-data";
import fs from "fs";
import {
  extname,
  join,
} from "path";
import stream from "stream";
import { promisify } from "util";
import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";
import constants from "../../common/constants.mjs";
import lang from "../common/lang.mjs";

const COMMON_AUDIO_FORMATS_TEXT = "Your audio file must be in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.";
const CHUNK_SIZE_MB = 20;

const execAsync = promisify(exec);
const pipelineAsync = promisify(stream.pipeline);

export default {
  name: "Create Transcription (Whisper)",
  version: "0.1.9",
  key: "openai-create-transcription",
  description: "Transcribes audio into the input language. [See the documentation](https://platform.openai.com/docs/api-reference/audio/create).",
  type: "action",
  props: {
    openai,
    uploadType: {
      label: "Audio Upload Type",
      description: "Are you uploading an audio file from [your workflow's `/tmp` directory](https://pipedream.com/docs/code/nodejs/working-with-files/#the-tmp-directory), or providing a URL to the file?",
      type: "string",
      options: [
        "File",
        "URL",
      ],
      reloadProps: true,
    },
    language: {
      label: "Language",
      description: "**Optional**. The language of the input audio. Supplying the input language will improve accuracy and latency.",
      type: "string",
      optional: true,
      options: lang.LANGUAGES.map((l) => ({
        label: l.label,
        value: l.value,
      })),
    },
  },
  async additionalProps() {
    const props = {};
    switch (this.uploadType) {
    case "File":
      props.path = {
        type: "string",
        label: "File Path",
        description: `A path to your audio file to transcribe, e.g. \`/tmp/audio.mp3\`. ${COMMON_AUDIO_FORMATS_TEXT} Add the appropriate extension (mp3, mp4, etc.) on your filename — OpenAI uses the extension to determine the file type. [See the Pipedream docs on saving files to \`/tmp\`](https://pipedream.com/docs/code/nodejs/working-with-files/#writing-a-file-to-tmp)`,
      };
      break;
    case "URL":
      props.url = {
        type: "string",
        label: "URL",
        description: `A public URL to the audio file to transcribe. This URL must point directly to the audio file, not a webpage that links to the audio file. ${COMMON_AUDIO_FORMATS_TEXT}`,
      };
      break;
    default:
      throw new ConfigurationError("Invalid upload type specified. Please provide 'File' or 'URL'.");
    }
    // Because we need to display the file or URL above, and not below, these optional props
    // TODO: Will be fixed when we render optional props correctly when used with additionalProps
    props.prompt = {
      label: "Prompt",
      description: "**Optional** text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting) should match the audio language.",
      type: "string",
      optional: true,
    };
    props.responseFormat = {
      label: "Response Format",
      description: "**Optional**. The format of the response. The default is `json`.",
      type: "string",
      default: "json",
      optional: true,
      options: constants.TRANSCRIPTION_FORMATS,
    };
    props.temperature = common.props.temperature;

    return props;
  },
  methods: {
    createForm({
      file, outputDir,
    }) {
      const form = new FormData();
      form.append("model", "whisper-1");
      if (this.prompt) form.append("prompt", this.prompt);
      if (this.temperature) form.append("temperature", this.temperature);
      if (this.language) form.append("language", this.language);
      if (this.responseFormat) form.append("response_format", this.responseFormat);
      const readStream = fs.createReadStream(join(outputDir, file));
      form.append("file", readStream);
      return form;
    },
    async splitLargeChunks(files, outputDir) {
      for (const file of files) {
        if (fs.statSync(`${outputDir}/${file}`).size / (1024 * 1024) > CHUNK_SIZE_MB) {
          await this.chunkFile({
            file: `${outputDir}/${file}`,
            outputDir,
            index: file.slice(6, 9),
          });
          await execAsync(`rm -f "${outputDir}/${file}"`);
        }
      }
    },
    async chunkFileAndTranscribe({
      file, $,
    }) {
      const outputDir = join("/tmp", "chunks");
      await execAsync(`mkdir -p "${outputDir}"`);
      await execAsync(`rm -f "${outputDir}/*"`);

      await this.chunkFile({
        file,
        outputDir,
      });

      let files = await fs.promises.readdir(outputDir);
      // ffmpeg will sometimes return chunks larger than the allowed size,
      // so we need to identify large chunks and break them down further
      await this.splitLargeChunks(files, outputDir);
      files = await fs.promises.readdir(outputDir);

      return this.transcribeFiles({
        files,
        outputDir,
        $,
      });
    },
    async chunkFile({
      file, outputDir, index,
    }) {
      const ffmpegPath = ffmpegInstaller.path;
      const ext = extname(file);

      const fileSizeInMB = fs.statSync(file).size / (1024 * 1024);
      // We're limited to 26MB per request. Because of how ffmpeg splits files,
      // we need to be conservative in the number of chunks we create
      const conservativeChunkSizeMB = CHUNK_SIZE_MB;
      const numberOfChunks = !index
        ? Math.ceil(fileSizeInMB / conservativeChunkSizeMB)
        : 2;

      if (numberOfChunks === 1) {
        await execAsync(`cp "${file}" "${outputDir}/chunk-000${ext}"`);
        return;
      }

      const { stdout } = await execAsync(`${ffmpegPath} -i "${file}" 2>&1 | grep "Duration"`);
      const duration = stdout.match(/\d{2}:\d{2}:\d{2}\.\d{2}/s)[0];
      const [
        hours,
        minutes,
        seconds,
      ] = duration.split(":").map(parseFloat);

      const totalSeconds = (hours * 60 * 60) + (minutes * 60) + seconds;
      const segmentTime = Math.ceil(totalSeconds / numberOfChunks);

      const command = `${ffmpegPath} -i "${file}" -f segment -segment_time ${segmentTime} -c copy "${outputDir}/chunk-${index
        ? `${index}-`
        : ""}%03d${ext}"`;
      await execAsync(command);
    },
    transcribeFiles({
      files, outputDir, $,
    }) {
      const limiter = new Bottleneck({
        maxConcurrent: 1,
        minTime: 1000 / 59,
      });

      return Promise.all(files.map((file) => {
        return limiter.schedule(() => this.transcribe({
          file,
          outputDir,
          $,
        }));
      }));
    },
    transcribe({
      file, outputDir, $,
    }) {
      const form = this.createForm({
        file,
        outputDir,
      });
      return this.openai.createTranscription({
        $,
        form,
      });
    },
    getFullText(transcriptions = []) {
      return transcriptions.map((t) => t.text || t).join(" ");
    },
  },
  async run({ $ }) {
    const {
      url,
      path,
    } = this;

    if (!url && !path) {
      throw new ConfigurationError("Must specify either File URL or File Path");
    }

    let file;

    if (path) {
      if (!fs.existsSync(path)) {
        throw new ConfigurationError(`${path} does not exist`);
      }

      file = path;
    } else if (url) {
      const ext = extname(url).split("?")[0];

      const response = await axios({
        method: "GET",
        url,
        responseType: "stream",
        timeout: 250000,
      });

      const bufferStream = new stream.PassThrough();
      response.data.pipe(bufferStream);

      const downloadPath = join("/tmp", `audio${ext}`);
      const writeStream = fs.createWriteStream(downloadPath);

      await pipelineAsync(bufferStream, writeStream);

      file = downloadPath;
    }

    const transcriptions = await this.chunkFileAndTranscribe({
      file,
      $,
    });

    if (transcriptions.length) {
      $.export("$summary", "Successfully created transcription");
    }

    return {
      transcription: this.getFullText(transcriptions),
      transcriptions,
    };
  },
};

Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
Audio Upload TypeuploadTypestringSelect a value from the drop down menu:FileURL
LanguagelanguagestringSelect a value from the drop down menu:{ "label": "Afar", "value": "aa" }{ "label": "Abkhaz", "value": "ab" }{ "label": "Avestan", "value": "ae" }{ "label": "Afrikaans", "value": "af" }{ "label": "Akan", "value": "ak" }{ "label": "Amharic", "value": "am" }{ "label": "Aragonese", "value": "an" }{ "label": "Arabic", "value": "ar" }{ "label": "Arabic (Algeria)", "value": "ar-dz" }{ "label": "Arabic (Bahrain)", "value": "ar-bh" }{ "label": "Arabic (Egypt)", "value": "ar-eg" }{ "label": "Arabic (Iraq)", "value": "ar-iq" }{ "label": "Arabic (Jordan)", "value": "ar-jo" }{ "label": "Arabic (Kuwait)", "value": "ar-kw" }{ "label": "Arabic (Lebanon)", "value": "ar-lb" }{ "label": "Arabic (Libya)", "value": "ar-ly" }{ "label": "Arabic (Morocco)", "value": "ar-ma" }{ "label": "Arabic (Oman)", "value": "ar-om" }{ "label": "Arabic (Qatar)", "value": "ar-qa" }{ "label": "Arabic (Saudi Arabia)", "value": "ar-sa" }{ "label": "Arabic (Syria)", "value": "ar-sy" }{ "label": "Arabic (Tunisia)", "value": "ar-tn" }{ "label": "Arabic (U.A.E.)", "value": "ar-ae" }{ "label": "Arabic (Yemen)", "value": "ar-ye" }{ "label": "Assamese", "value": "as" }{ "label": "Avaric", "value": "av" }{ "label": "Aymara", "value": "ay" }{ "label": "Azerbaijani", "value": "az" }{ "label": "Bashkir", "value": "ba" }{ "label": "Belarusian", "value": "be" }{ "label": "Bulgarian", "value": "bg" }{ "label": "Bislama", "value": "bi" }{ "label": "Bambara", "value": "bm" }{ "label": "Bengali", "value": "bn" }{ "label": "Tibetan", "value": "bo" }{ "label": "Breton", "value": "br" }{ "label": "Bosnian", "value": "bs" }{ "label": "Catalan", "value": "ca" }{ "label": "Chechen", "value": "ce" }{ "label": "Chamorro", "value": "ch" }{ "label": "Corsican", "value": "co" }{ "label": "Cree", "value": "cr" }{ "label": "Czech", "value": "cs" }{ "label": "Old Church Slavonic", "value": "cu" }{ "label": "Chuvash", "value": "cv" }{ "label": "Welsh", "value": "cy" }{ "label": "Danish", "value": "da" }{ "label": "German", "value": "de" }{ "label": "Divehi", "value": "dv" }{ "label": "Dzongkha", "value": "dz" }{ "label": "Ewe", "value": "ee" }{ "label": "Greek", "value": "el" }{ "label": "English", "value": "en" }{ "label": "Esperanto", "value": "eo" }{ "label": "Spanish", "value": "es" }{ "label": "Estonian", "value": "et" }{ "label": "Basque", "value": "eu" }{ "label": "Persian", "value": "fa" }{ "label": "Fula", "value": "ff" }{ "label": "Finnish", "value": "fi" }{ "label": "Fijian", "value": "fj" }{ "label": "Faroese", "value": "fo" }{ "label": "French", "value": "fr" }{ "label": "Western Frisian", "value": "fy" }{ "label": "Irish", "value": "ga" }{ "label": "Scottish Gaelic", "value": "gd" }{ "label": "Galician", "value": "gl" }{ "label": "Guaraní", "value": "gn" }{ "label": "Gujarati", "value": "gu" }{ "label": "Manx", "value": "gv" }{ "label": "Hausa", "value": "ha" }{ "label": "Hebrew", "value": "he" }{ "label": "Hindi", "value": "hi" }{ "label": "Hiri Motu", "value": "ho" }{ "label": "Croatian", "value": "hr" }{ "label": "Haitian", "value": "ht" }{ "label": "Hungarian", "value": "hu" }{ "label": "Armenian", "value": "hy" }{ "label": "Herero", "value": "hz" }{ "label": "Interlingua", "value": "ia" }{ "label": "Indonesian", "value": "id" }{ "label": "Interlingue", "value": "ie" }{ "label": "Igbo", "value": "ig" }{ "label": "Nuosu", "value": "ii" }{ "label": "Inupiaq", "value": "ik" }{ "label": "Ido", "value": "io" }{ "label": "Icelandic", "value": "is" }{ "label": "Italian", "value": "it" }{ "label": "Inuktitut", "value": "iu" }{ "label": "Japanese", "value": "ja" }{ "label": "Javanese", "value": "jv" }{ "label": "Georgian", "value": "ka" }{ "label": "Kongo", "value": "kg" }{ "label": "Kikuyu", "value": "ki" }{ "label": "Kwanyama", "value": "kj" }{ "label": "Kazakh", "value": "kk" }{ "label": "Kalaallisut", "value": "kl" }{ "label": "Khmer", "value": "km" }{ "label": "Kannada", "value": "kn" }{ "label": "Korean", "value": "ko" }{ "label": "Kanuri", "value": "kr" }{ "label": "Kashmiri", "value": "ks" }{ "label": "Kurdish", "value": "ku" }{ "label": "Komi", "value": "kv" }{ "label": "Cornish", "value": "kw" }{ "label": "Kyrgyz", "value": "ky" }{ "label": "Latin", "value": "la" }{ "label": "Luxembourgish", "value": "lb" }{ "label": "Ganda", "value": "lg" }{ "label": "Limburgish", "value": "li" }{ "label": "Lingala", "value": "ln" }{ "label": "Lao", "value": "lo" }{ "label": "Lithuanian", "value": "lt" }{ "label": "Luba-Katanga", "value": "lu" }{ "label": "Latvian", "value": "lv" }{ "label": "Malagasy", "value": "mg" }{ "label": "Marshallese", "value": "mh" }{ "label": "Māori", "value": "mi" }{ "label": "Macedonian", "value": "mk" }{ "label": "Malayalam", "value": "ml" }{ "label": "Mongolian", "value": "mn" }{ "label": "Marathi", "value": "mr" }{ "label": "Malay", "value": "ms" }{ "label": "Maltese", "value": "mt" }{ "label": "Burmese", "value": "my" }{ "label": "Nauru", "value": "na" }{ "label": "Norwegian Bokmål", "value": "nb" }{ "label": "Northern Ndebele", "value": "nd" }{ "label": "Nepali", "value": "ne" }{ "label": "Ndonga", "value": "ng" }{ "label": "Dutch", "value": "nl" }{ "label": "Norwegian Nynorsk", "value": "nn" }{ "label": "Norwegian", "value": "no" }{ "label": "Southern Ndebele", "value": "nr" }{ "label": "Navajo", "value": "nv" }{ "label": "Chichewa", "value": "ny" }{ "label": "Occitan", "value": "oc" }{ "label": "Ojibwe", "value": "oj" }{ "label": "Oromo", "value": "om" }{ "label": "Oriya", "value": "or" }{ "label": "Ossetian", "value": "os" }{ "label": "Panjabi", "value": "pa" }{ "label": "Pāli", "value": "pi" }{ "label": "Polish", "value": "pl" }{ "label": "Pashto", "value": "ps" }{ "label": "Portuguese", "value": "pt" }{ "label": "Quechua", "value": "qu" }{ "label": "Romansh", "value": "rm" }{ "label": "Kirundi", "value": "rn" }{ "label": "Romanian", "value": "ro" }{ "label": "Russian", "value": "ru" }{ "label": "Kinyarwanda", "value": "rw" }{ "label": "Sanskrit", "value": "sa" }{ "label": "Sardinian", "value": "sc" }{ "label": "Sindhi", "value": "sd" }{ "label": "Northern Sami", "value": "se" }{ "label": "Sango", "value": "sg" }{ "label": "Sinhala", "value": "si" }{ "label": "Slovak", "value": "sk" }{ "label": "Slovenian", "value": "sl" }{ "label": "Samoan", "value": "sm" }{ "label": "Shona", "value": "sn" }{ "label": "Somali", "value": "so" }{ "label": "Albanian", "value": "sq" }{ "label": "Serbian", "value": "sr" }{ "label": "Swati", "value": "ss" }{ "label": "Southern Sotho", "value": "st" }{ "label": "Sundanese", "value": "su" }{ "label": "Swedish", "value": "sv" }{ "label": "Swahili", "value": "sw" }{ "label": "Tamil", "value": "ta" }{ "label": "Telugu", "value": "te" }{ "label": "Tajik", "value": "tg" }{ "label": "Thai", "value": "th" }{ "label": "Tigrinya", "value": "ti" }{ "label": "Turkmen", "value": "tk" }{ "label": "Tagalog", "value": "tl" }{ "label": "Tswana", "value": "tn" }{ "label": "Tonga", "value": "to" }{ "label": "Turkish", "value": "tr" }{ "label": "Tsonga", "value": "ts" }{ "label": "Tatar", "value": "tt" }{ "label": "Twi", "value": "tw" }{ "label": "Tahitian", "value": "ty" }{ "label": "Uyghur", "value": "ug" }{ "label": "Ukrainian", "value": "uk" }{ "label": "Urdu", "value": "ur" }{ "label": "Uzbek", "value": "uz" }{ "label": "Venda", "value": "ve" }{ "label": "Vietnamese", "value": "vi" }{ "label": "Volapük", "value": "vo" }{ "label": "Walloon", "value": "wa" }{ "label": "Wolof", "value": "wo" }{ "label": "Xhosa", "value": "xh" }{ "label": "Yiddish", "value": "yi" }{ "label": "Yoruba", "value": "yo" }{ "label": "Zhuang", "value": "za" }{ "label": "Chinese", "value": "zh" }{ "label": "Zulu", "value": "zu" }

Authentication

OpenAI (ChatGPT) uses API keys for authentication. When you connect your OpenAI (ChatGPT) account, Pipedream securely stores the keys so you can easily authenticate to OpenAI (ChatGPT) APIs in both code and no-code steps.

About OpenAI (ChatGPT)

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

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