Generate Speech from Text with LMNT API on New Message In Channels (Instant) from Slack API

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New Message In Channels (Instant) from the Slack API

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Generate Speech from Text with the LMNT API

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Getting Started#

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

Select this integration
Configure the New Message In Channels (Instant) trigger
1. Connect your Slack account
2. Optional- Select one or more Channels
3. Configure slackApphook
4. Optional- Configure Resolve Names
5. Optional- Configure Ignore Bots
6. Optional- Configure Ignore replies in threads
Configure the Generate Speech from Text action
1. Connect your LMNT account
2. Select a Voice
3. Configure Text
4. Optional- Select a Audio Format
5. Optional- Configure Length
6. Optional- Configure Return Durations
7. Optional- Configure Seed
8. Optional- Configure Speed
9. Optional- Configure Output Filename
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 Message In Channels (Instant) on Slack

Description:Emit new event when a new message is posted to one or more channels

Version:1.0.22

Key:slack-new-message-in-channels

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-message-in-channels",
  name: "New Message In Channels (Instant)",
  version: "1.0.22",
  description: "Emit new event when a new message is posted to one or more channels",
  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: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return this.conversations || [
          "message",
        ];
      },
    },
    resolveNames: {
      propDefinition: [
        common.props.slack,
        "resolveNames",
      ],
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    ignoreThreads: {
      type: "boolean",
      label: "Ignore replies in threads",
      description: "Ignore replies to messages in threads",
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New message in channel";
    },
    async processEvent(event) {
      if (event.type !== "message") {
        console.log(`Ignoring event with unexpected type "${event.type}"`);
        return;
      }
      if (event.subtype && !constants.ALLOWED_MESSAGE_IN_CHANNEL_SUBTYPES.includes(event.subtype)) {
        // 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!!
        console.log("Ignoring message with subtype.");
        return;
      }
      if ((this.ignoreBot) && (event.subtype == "bot_message" || event.bot_id)) {
        return;
      }
      // There is no thread message type only the thread_ts field
      // indicates if the message is part of a thread in the event.
      if (this.ignoreThreads && event.thread_ts) {
        console.log("Ignoring reply in thread");
        return;
      }
      if (this.resolveNames) {
        if (event.user) {
          event.user_id = event.user;
          event.user = await this.getUserName(event.user);
        } else if (event.bot_id) {
          event.bot = await this.getBotName(event.bot_id);
        }
        event.channel_id = event.channel;
        event.channel = await this.getConversationName(event.channel);
        if (event.team) {
          event.team_id = event.team;
          event.team = await this.getTeamName(event.team);
        }
      }
      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`
Resolve Names	`resolveNames`	`boolean`	Instead of returning `channel`, `team`, and `user` as IDs, return their human-readable names.
Ignore Bots	`ignoreBot`	`boolean`	Ignore messages from bots
Ignore replies in threads	`ignoreThreads`	`boolean`	Ignore replies to messages in threads

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:

channels:historychannels:readchannels:writeemoji:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writereactions:readreactions:writereminders:readreminders:writestars:readteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:userfiles:write:usercommandsusers.profile:writeusers.profile: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#

Generate Speech from Text on LMNT

Description:Generates an audio file from the provided text. [See the documentation](https://docs.lmnt.com/api-reference/speech/synthesize-speech-1)

Version:0.0.1

Key:lmnt-generate-speech-from-text

View on GitHub

Action Code#

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

export default {
  key: "lmnt-generate-speech-from-text",
  name: "Generate Speech from Text",
  description: "Generates an audio file from the provided text. [See the documentation](https://docs.lmnt.com/api-reference/speech/synthesize-speech-1)",
  version: "0.0.1",
  type: "action",
  props: {
    lmnt,
    voice: {
      propDefinition: [
        lmnt,
        "voice",
      ],
    },
    text: {
      propDefinition: [
        lmnt,
        "text",
      ],
    },
    format: {
      propDefinition: [
        lmnt,
        "format",
      ],
    },
    length: {
      propDefinition: [
        lmnt,
        "length",
      ],
    },
    returnDurations: {
      propDefinition: [
        lmnt,
        "returnDurations",
      ],
    },
    seed: {
      propDefinition: [
        lmnt,
        "seed",
      ],
    },
    speed: {
      propDefinition: [
        lmnt,
        "speed",
      ],
    },
    outputFilename: {
      type: "string",
      label: "Output Filename",
      description: "The result will be written to this filename in the `/tmp` folder. If not specified, defaults to `output.mp3` or `output.wav` depending on the selected format.",
      optional: true,
    },
  },
  async run({ $ }) {
    const data = new FormData();
    if (this.returnDurations) data.append("return_durations", this.returnDurations.toString());
    if (this.speed) data.append("speed", Number(this.speed));
    [
      "format",
      "length",
      "seed",
      "text",
      "voice",
    ].forEach((key) => {
      if (this[key]) data.append(key, this[key].toString());
    });

    const response = await this.lmnt.synthesizeSpeech({
      $,
      headers: data.getHeaders(),
      data,
    });

    const outputFilename = this.outputFilename ?? `output.${this.format}`;

    const filePath = outputFilename.includes("tmp/")
      ? outputFilename
      : `/tmp/${outputFilename}`;
    fs.writeFileSync(filePath, response.audio, {
      encoding: "base64",
    } );
    response.filePath = filePath;

    $.export("$summary", "Generated audio from text");
    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
LMNT	`lmnt`	`app`	This component uses the LMNT app.
Voice	`voice`	`string`	Select a value from the drop down menu.
Text	`text`	`string`	The text to synthesize.
Audio Format	`format`	`string`	Select a value from the drop down menu:`mp3wav`
Length	`length`	`integer`	Produce speech of this length in seconds; maximum 300.0 (5 minutes).
Return Durations	`returnDurations`	`boolean`	If true, response will contain a durations field.
Seed	`seed`	`integer`	Seed used to specify a different take; defaults to random.
Speed	`speed`	`string`	The talking speed of the generated speech. A floating point value between 0.25 (slow) and 2.0 (fast); defaults to 1.0.
Output Filename	`outputFilename`	`string`	The result will be written to this filename in the `/tmp` folder. If not specified, defaults to `output.mp3` or `output.wav` depending on the selected format.

Generate Speech from Text with LMNT API on New Message In Channels (Instant) from Slack API

Pipedream makes it easy to connect APIs for LMNT, 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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