Convert Text to Speech with AiVOOV API on New Keyword Mention (Instant) from Slack API

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New Keyword Mention (Instant) from the Slack API

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Convert Text to Speech with the AiVOOV API

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Getting Started#

This integration creates a workflow with a Slack trigger and AiVOOV action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Keyword Mention (Instant) trigger
1. Connect your Slack account
2. Optional- Select one or more Channels
3. Configure slackApphook
4. Configure Keyword
5. Optional- Configure Ignore Bots
Configure the Convert Text to Speech action
1. Connect your AiVOOV account
2. Select a Provider
3. Select a Voice ID
4. Configure Transcribe Text
5. Select a Engine
6. Optional- Configure Transcribe SSML Style
7. Optional- Configure Transcribe SSML Speak Rate
8. Optional- Configure Transcribe SSML Volume
9. Optional- Configure Transcribe SSML Pitch Rate
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 Keyword Mention (Instant) on Slack

Description:Emit new event when a specific keyword is mentioned in a channel

Version:0.0.5

Key:slack-new-keyword-mention

View on GitHub

Slack Overview#

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

Automate posting updates to your team channels
Create a bot to answer common questions
Integrate with your existing tools and services
And much more!

Trigger Code#

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

export default {
  ...common,
  key: "slack-new-keyword-mention",
  name: "New Keyword Mention (Instant)",
  version: "0.0.5",
  description: "Emit new event when a specific keyword is mentioned in a channel",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    conversations: {
      propDefinition: [
        common.props.slack,
        "conversation",
      ],
      type: "string[]",
      label: "Channels",
      description: "Select one or more channels to monitor for new messages.",
      optional: true,
    },
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return this.conversations || [
          "message",
        ];
      },
    },
    keyword: {
      propDefinition: [
        common.props.slack,
        "keyword",
      ],
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
  },
  hooks: {
    ...common.hooks,
    async deploy() {
      // emit historical events
      const messages = await this.getMatches({
        query: this.keyword,
        sort: "timestamp",
      });
      const filteredMessages = this.conversations?.length > 0
        ? messages.filter((message) => this.conversations.includes(message.channel.id))
        : messages;
      await this.emitHistoricalEvents(filteredMessages.slice(-25).reverse());
    },
  },
  methods: {
    ...common.methods,
    async getMatches(params) {
      return (await this.slack.searchMessages(params)).messages.matches || [];
    },
    async emitHistoricalEvents(messages) {
      for (const message of messages) {
        const event = await this.processEvent({
          ...message,
          subtype: message.subtype || constants.SUBTYPE.PD_HISTORY_MESSAGE,
        });
        if (event) {
          if (!event.client_msg_id) {
            event.pipedream_msg_id = `pd_${Date.now()}_${Math.random().toString(36)
              .substr(2, 10)}`;
          }

          this.$emit(event, {
            id: event.client_msg_id || event.pipedream_msg_id,
            summary: this.getSummary(event),
            ts: event.event_ts || Date.now(),
          });
        }
      }
    },
    getSummary() {
      return "New keyword mention received";
    },
    async processEvent(event) {
      const {
        type: msgType,
        subtype,
        bot_id: botId,
        text,
      } = event;

      if (msgType !== "message") {
        console.log(`Ignoring event with unexpected type "${msgType}"`);
        return;
      }

      // This source is designed to just emit an event for each new message received.
      // Due to inconsistencies with the shape of message_changed and message_deleted
      // events, we are ignoring them for now. If you want to handle these types of
      // events, feel free to change this code!!
      if (subtype && !constants.ALLOWED_SUBTYPES.includes(subtype)) {
        console.log(`Ignoring message with subtype. "${subtype}"`);
        return;
      }

      if ((this.ignoreBot) && (subtype === constants.SUBTYPE.BOT_MESSAGE || botId)) {
        return;
      }

      let emitEvent = false;
      if (text.indexOf(this.keyword) !== -1) {
        emitEvent = true;
      } else if (subtype === constants.SUBTYPE.PD_HISTORY_MESSAGE) {
        emitEvent = true;
      }

      if (emitEvent) {
        return event;
      }
    },
  },
  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
Slack	`slack`	`app`	This component uses the Slack app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Channels	`conversations`	`string[]`	Select a value from the drop down menu.
	`slackApphook`	`$.interface.apphook`
Keyword	`keyword`	`string`	Keyword to monitor
Ignore Bots	`ignoreBot`	`boolean`	Ignore messages from bots

Trigger Authentication#

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

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

bookmarks:writecalls:readcalls:writechannels:historychannels:readchannels:writednd:readdnd:writeemoji:readfiles:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writepins:readpins:writereactions:readreactions:writereminders:readreminders:writeremote_files:readremote_files:sharestars:readstars:writeteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:usercommandsfiles:write:userusers.profile:writeusers.profile:readsearch:read

About Slack#

Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.

Action#

Convert Text to Speech on AiVOOV

Description:Converts text to audio using the Aivoov API. [See the documentation](https://github.com/aivoov/aivoov-api)

Version:0.0.1

Key:aivoov-convert-text-to-speech

View on GitHub

AiVOOV Overview#

AiVOOV API offers speech recognition capabilities that enable you to convert audio into text, supporting various languages. This can be particularly useful for transcription services, content generation, and multilingual support systems. On Pipedream, you can leverage this API to create powerful serverless workflows that trigger upon receiving audio data, automatically transcribing it and connecting the output to countless other services for processing, analysis, or storage.

Action Code#

import aivoov from "../../aivoov.app.mjs";
import FormData from "form-data";

export default {
  key: "aivoov-convert-text-to-speech",
  name: "Convert Text to Speech",
  description:
    "Converts text to audio using the Aivoov API. [See the documentation](https://github.com/aivoov/aivoov-api)",
  version: "0.0.1",
  type: "action",
  props: {
    aivoov,
    provider: {
      propDefinition: [
        aivoov,
        "provider",
      ],
    },
    voiceId: {
      propDefinition: [
        aivoov,
        "voiceId",
        (c) => ({
          provider: c.provider,
        }),
      ],
    },
    transcribeText: {
      propDefinition: [
        aivoov,
        "transcribeText",
      ],
    },
    engine: {
      propDefinition: [
        aivoov,
        "engine",
      ],
    },
    transcribeSsmlStyle: {
      propDefinition: [
        aivoov,
        "transcribeSsmlStyle",
      ],
    },
    transcribeSsmlSpkRate: {
      propDefinition: [
        aivoov,
        "transcribeSsmlSpkRate",
      ],
    },
    transcribeSsmlVolume: {
      propDefinition: [
        aivoov,
        "transcribeSsmlVolume",
      ],
    },
    transcribeSsmlPitchRate: {
      propDefinition: [
        aivoov,
        "transcribeSsmlPitchRate",
      ],
    },
  },
  async run({ $ }) {
    const data = new FormData();
    if (this.voiceId) {
      data.append("voice_id", this.voiceId.replace("{engine}", "{{engine}}"));
    }

    if (this.transcribeText) {
      data.append("transcribe_text[]", JSON.stringify(this.transcribeText));
    }

    if (this.engine) {
      data.append("engine", this.engine);
    }

    if (this.transcribeSsmlStyle) {
      data.append("transcribe_ssml_style", this.transcribeSsmlStyle);
    }

    if (this.transcribeSsmlSpkRate) {
      data.append(
        "transcribe_ssml_spk_rate",
        this.transcribeSsmlSpkRate + "%",
      );
    }

    if (this.transcribeSsmlVolume) {
      data.append("transcribe_ssml_volume", this.transcribeSsmlVolume + "dB");
    }

    if (this.transcribeSsmlPitchRate) {
      data.append(
        "transcribe_ssml_pitch_rate",
        this.transcribeSsmlPitchRate + "%",
      );
    }

    const response = await this.aivoov.transcribe({
      $,
      data,
      headers: data.getHeaders(),
    });
    $.export("$summary", "Successfully converted text to speech");
    return response;
  },
};

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
AiVOOV	`aivoov`	`app`	This component uses the AiVOOV app.
Provider	`provider`	`string`	Select a value from the drop down menu:`googleazureibmaws`
Voice ID	`voiceId`	`string`	Select a value from the drop down menu.
Transcribe Text	`transcribeText`	`string[]`	An array of strings, where each string represents a paragraph in plain text format OR valid SSML format
Engine	`engine`	`string`	Select a value from the drop down menu:`standardneuralneural2`
Transcribe SSML Style	`transcribeSsmlStyle`	`string`	A string representing the tone and accent of the voice to read the text
Transcribe SSML Speak Rate	`transcribeSsmlSpkRate`	`integer`	Must be in the closed interval of `[20, 200] %`. Use this to speed-up, or slow-down the speaking rate of the speech
Transcribe SSML Volume	`transcribeSsmlVolume`	`integer`	Must be in the closed interval of `[-40, 40] dB`. Use this to high or low the speaking volume of the speech
Transcribe SSML Pitch Rate	`transcribeSsmlPitchRate`	`integer`	Must be in the closed interval of `[-50, 50] %`. Use this to pitch-low, or pitch-low the speaking pitch of the speech

Convert Text to Speech with AiVOOV API on New Keyword Mention (Instant) from Slack API

Pipedream makes it easy to connect APIs for AiVOOV, Slack and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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