Submit Transcription Job with Rev.ai API on New File Created from OpenAI (ChatGPT) API

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New File Created from the OpenAI (ChatGPT) API

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Submit Transcription Job with the Rev.ai API

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Getting Started#

This integration creates a workflow with a OpenAI (ChatGPT) trigger and Rev.ai action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New File Created trigger
1. Connect your OpenAI (ChatGPT) account
2. Configure timer
3. Optional- Select a Purpose
Configure the Submit Transcription Job action
1. Connect your Rev.ai account
2. Configure media_url
3. Optional- Configure skip_diarization
4. Optional- Configure skip_punctuation
5. Optional- Configure remove_disfluencies
6. Optional- Configure filter_profanity
7. Optional- Configure speaker_channels_count
8. Optional- Configure delete_after_seconds
9. Optional- Configure metadata
10. Optional- Configure callback_url
11. Optional- Configure phrases
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are 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.

Trigger#

New File Created on OpenAI (ChatGPT)

Description:Emit new event when a new file is created in OpenAI. [See the documentation](https://platform.openai.com/docs/api-reference/files/list)

Version:0.0.10

Key:openai-new-file-created

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Trigger Code#

import common from "../common/common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "openai-new-file-created",
  name: "New File Created",
  description: "Emit new event when a new file is created in OpenAI. [See the documentation](https://platform.openai.com/docs/api-reference/files/list)",
  version: "0.0.10",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    purpose: {
      propDefinition: [
        common.props.openai,
        "purpose",
      ],
      description: "If specified, events will only be emitted for files with the specified purpose.",
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getData() {
      return this.openai.listFiles({
        purpose: this.purpose,
      });
    },
    getMeta(item) {
      return {
        id: item.id,
        summary: `New File: ${item.filename}`,
        ts: item.created_at * 1000,
      };
    },
  },
  sampleEmit,
};

Trigger 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.

Label	Prop	Type	Description
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Purpose	`purpose`	`string`	Select a value from the drop down menu:`fine-tuneassistantsvisionbatch`

Trigger 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.

Action#

Submit Transcription Job on Rev.ai

Description:Starts an asynchronous job to transcribe speech-to-text for a media file. Add an optional callback URL to invoke when processing is complete.

Version:0.1.1

Key:rev_ai-submit-transcription-job

View on GitHub

Rev.ai Overview#

Rev.ai offers speech recognition and transcription capabilities, making it possible to convert audio into text with high accuracy. This API provides developers access to advanced speech-to-text functions, allowing you to transcribe interviews, meetings, or any audio content quickly. Using Pipedream, these transcriptions can be integrated into workflows that trigger actions in other apps, enriching your data and automating repetitive tasks.

Action Code#

// legacy_hash_id: a_NqiqvY
import { axios } from "@pipedream/platform";

export default {
  key: "rev_ai-submit-transcription-job",
  name: "Submit Transcription Job",
  description: "Starts an asynchronous job to transcribe speech-to-text for a media file. Add an optional callback URL to invoke when processing is complete.",
  version: "0.1.1",
  type: "action",
  props: {
    rev_ai: {
      type: "app",
      app: "rev_ai",
    },
    media_url: {
      type: "string",
      description: "Direct download media url. Ignored if submitting job from file",
    },
    skip_diarization: {
      type: "boolean",
      description: "Specify if speaker diarization will be skipped by the speech engine",
      optional: true,
    },
    skip_punctuation: {
      type: "boolean",
      description: "Specify if \"punct\" type elements will be skipped by the speech engine. For JSON outputs, this includes removing spaces. For text outputs, words will still be delimited by a space",
      optional: true,
    },
    remove_disfluencies: {
      type: "boolean",
      description: "Currently we only define disfluencies as 'ums' and 'uhs'. When set to true, disfluencies will be not appear in the transcript.",
      optional: true,
    },
    filter_profanity: {
      type: "boolean",
      description: "Enabling this option will filter for approx. 600 profanities, which cover most use cases. If a transcribed word matches a word on this list, then all the characters of that word will be replaced by asterisks except for the first and last character.",
      optional: true,
    },
    speaker_channels_count: {
      type: "integer",
      description: "Use to specify the total number of unique speaker channels in the audio.\n\nGiven the number of audio channels provided, each channel will be transcribed separately and the channel id assigned to the speaker label. The final output will be a combination of all individual channel outputs. Overlapping monologues will have ordering broken by the order in which the first spoken element of each monologue occurs. If speaker_channels_count is greater than the actual channels in the audio, the job will fail with invalid_media.\n\nNote:\n\nThe amount charged will be the duration of the file multiplied by the number of channels specified.\nWhen using speaker_channels_count each channel will be diarized as one speaker, and the value of skip_diarization will be ignored if provided",
      optional: true,
    },
    delete_after_seconds: {
      type: "integer",
      description: "Specify the number of seconds after job completion when job is auto-deleted. It may take up to 2 minutes after the scheduled time for the job to be deleted. The number of seconds provided must range from `0` seconds to `2592000` seconds (30 days).",
      optional: true,
    },
    metadata: {
      type: "string",
      description: "Optional metadata that was provided during submission",
      optional: true,
    },
    callback_url: {
      type: "string",
      description: "Optional callback url to invoke when processing is complete",
      optional: true,
    },
    phrases: {
      type: "any",
      description: "Array of phrases not found in normal dictionary. Add technical jargon, proper nouns and uncommon phrases as strings in this array to add them to the lexicon for this job.\n\nA phrase must contain at least 1 alpha character but may contain any non-numeric character from the Basic Latin set. A phrase can contain up to 12 words. Each word can contain up to 34 characters.",
      optional: true,
    },
  },
  async run({ $ }) {
    const data = {
      "media_url": this.media_url,
      "skip_diarization": this.skip_diarization,
      "skip_punctuation": this.skip_punctuation,
      "remove_disfluencies": this.remove_disfluencies,
      "filter_profanity": this.filter_profanity,
      "speaker_channels_count": this.speaker_channels_count,
      "delete_after_seconds": this.delete_after_seconds,
      "metadata": this.metadata,
      "callback_url": this.callback_url,
    };

    if (this.phrases) {
      data.phrases = {
        "custom_vocabularies": [
          {
            "phrases": this.phrases,
          },
        ],
      };
    }

    return await axios($, {
      url: "https://api.rev.ai/speechtotext/v1/jobs",
      method: "post",
      headers: {
        Authorization: `Bearer ${this.rev_ai.$auth.access_token}`,
      },
      data,
    });
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Rev.ai	`rev_ai`	`app`	This component uses the Rev.ai app.
media_url	`media_url`	`string`	Direct download media url. Ignored if submitting job from file
skip_diarization	`skip_diarization`	`boolean`	Specify if speaker diarization will be skipped by the speech engine
skip_punctuation	`skip_punctuation`	`boolean`	Specify if "punct" type elements will be skipped by the speech engine. For JSON outputs, this includes removing spaces. For text outputs, words will still be delimited by a space
remove_disfluencies	`remove_disfluencies`	`boolean`	Currently we only define disfluencies as 'ums' and 'uhs'. When set to true, disfluencies will be not appear in the transcript.
filter_profanity	`filter_profanity`	`boolean`	Enabling this option will filter for approx. 600 profanities, which cover most use cases. If a transcribed word matches a word on this list, then all the characters of that word will be replaced by asterisks except for the first and last character.
speaker_channels_count	`speaker_channels_count`	`integer`	Use to specify the total number of unique speaker channels in the audio. Given the number of audio channels provided, each channel will be transcribed separately and the channel id assigned to the speaker label. The final output will be a combination of all individual channel outputs. Overlapping monologues will have ordering broken by the order in which the first spoken element of each monologue occurs. If speaker_channels_count is greater than the actual channels in the audio, the job will fail with invalid_media. Note: The amount charged will be the duration of the file multiplied by the number of channels specified. When using speaker_channels_count each channel will be diarized as one speaker, and the value of skip_diarization will be ignored if provided
delete_after_seconds	`delete_after_seconds`	`integer`	Specify the number of seconds after job completion when job is auto-deleted. It may take up to 2 minutes after the scheduled time for the job to be deleted. The number of seconds provided must range from `0` seconds to `2592000` seconds (30 days).
metadata	`metadata`	`string`	Optional metadata that was provided during submission
callback_url	`callback_url`	`string`	Optional callback url to invoke when processing is complete
phrases	`phrases`	`any`	Array of phrases not found in normal dictionary. Add technical jargon, proper nouns and uncommon phrases as strings in this array to add them to the lexicon for this job. A phrase must contain at least 1 alpha character but may contain any non-numeric character from the Basic Latin set. A phrase can contain up to 12 words. Each word can contain up to 34 characters.