Submit Transcription Job with Rev.ai API on New Event Scheduled from Calendly API

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New Event Scheduled from the Calendly 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 Calendly 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 Event Scheduled trigger
1. Connect your Calendly account
2. Configure timer
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 Event Scheduled on Calendly

Description:Emit new event when a event is scheduled.

Version:0.0.7

Key:calendly_v2-new-event-scheduled

View on GitHub

Calendly Overview#

The Calendly API lets you craft bespoke scheduling experiences within your apps or automate repetitive tasks involving your calendar. With this API, you can read event types, set up webhooks for new events, list invitees, or create and cancel invitation links programmatically. Pipedream's serverless platform takes the heavy lifting out of integrating Calendly with hundreds of other apps, enabling you to focus on creating workflows that save time, enhance productivity, and eliminate scheduling errors.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import app from "../../calendly_v2.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "calendly_v2-new-event-scheduled",
  name: "New Event Scheduled",
  description: "Emit new event when a event is scheduled.",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      static: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    emitEvent(data) {
      const id = data.uri.split("/").reverse()[0];

      this.$emit(data, {
        id: id,
        summary: `New scheduled event with ID ${id}`,
        ts: Date.parse(data.created_at),
      });
    },
    _setLastResourceId(id) {
      this.db.set("lastResourceId", id);
    },
    _getLastResourceId() {
      return this.db.get("lastResourceId");
    },
  },
  async run() {
    const lastResourceId = this._getLastResourceId();

    let nextPage;

    do {
      const {
        pagination, collection: events,
      } = await this.app.listEvents({
        params: {
          page_token: nextPage,
          count: 100,
          sort: "created_at:desc",
        },
      });

      if (events.length) {
        this._setLastResourceId(events[events.length - 1].uri);

        events.forEach(this.emitEvent);
      }

      if (
        events.length < 100 ||
        events.find(({ uri }) => uri === lastResourceId)
      ) {
        nextPage = null;
        return;
      }

      nextPage = pagination.next_page;
    } while (nextPage);
  },
  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
Calendly	`app`	`app`	This component uses the Calendly app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

Calendly uses OAuth authentication. When you connect your Calendly account, Pipedream will open a popup window where you can sign into Calendly and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Calendly API.

Pipedream requests the following authorization scopes when you connect your account:

About Calendly#

Schedule meetings without the hassle. Never get double booked. Calendly works with your calendar to automate appointment scheduling.

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.