Submit Transcription Job with Rev.ai API on New Comment (Instant) from Google Sheets API

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New Comment (Instant) from the Google Sheets 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 Google Sheets 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 Comment (Instant) trigger
1. Connect your Google Sheets account
2. Configure Push notification renewal schedule
3. Select a Spreadsheet
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 Comment (Instant) on Google Sheets

Description:Emit new event each time a comment is added to a spreadsheet.

Version:0.0.3

Key:google_sheets-new-comment

View on GitHub

Google Sheets Overview#

The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.

Trigger Code#

import httpBase from "../common/http-based/sheet.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...httpBase,
  key: "google_sheets-new-comment",
  name: "New Comment (Instant)",
  description: "Emit new event each time a comment is added to a spreadsheet.",
  version: "0.0.3",
  dedupe: "unique",
  type: "source",
  methods: {
    ...httpBase.methods,
    _getLastTs() {
      return this.db.get("lastTs");
    },
    _setLastTs(lastTs) {
      this.db.set("lastTs", lastTs);
    },
    generateMeta(comment) {
      return {
        id: comment.id,
        summary: `New Comment: ${comment.content}`,
        ts: Date.parse(comment.createdTime),
      };
    },
    takeSheetSnapshot() {},
    getSheetId() {
      return this.sheetID.toString();
    },
    async processSpreadsheet() {
      const comments = [];
      const lastTs = this._getLastTs();
      const results = this.googleSheets.listComments(this.sheetID, lastTs);
      for await (const comment of results) {
        comments.push(comment);
      }
      if (!comments.length) {
        return;
      }
      this._setLastTs(comments[0].createdTime);
      comments.reverse().forEach((comment) => {
        const meta = this.generateMeta(comment);
        this.$emit(comment, meta);
      });
    },
  },
  async run(event) {
    if (event.timestamp) {
      // Component was invoked by timer
      return this.renewSubscription();
    }

    if (!this.isEventRelevant(event)) {
      console.log("Sync notification, exiting early");
      return;
    }

    await this.processSpreadsheet();
  },
  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
Google Sheets	`googleSheets`	`app`	This component uses the Google Sheets app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Push notification renewal schedule	`timer`	`$.interface.timer`	The Google Drive API requires occasionally renewal of push notification subscriptions. This runs in the background, so you should not need to modify this schedule.
Spreadsheet	`sheetID`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

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

emailprofilehttps://www.googleapis.com/auth/drive

About Google Sheets#

Use Google Sheets to create and edit online spreadsheets. Get insights together with secure sharing in real-time and from any device.

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.