Convert Text to Speech with AiVOOV API on New Item in Feed from RSS API

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Trigger workflow on

New Item in Feed from the RSS 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 RSS 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 Item in Feed trigger
1. Connect your RSS account
2. Configure timer
3. Configure Feed URL
4. Configure Published After
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 Item in Feed on RSS

Description:Emit new items from an RSS feed

Version:1.2.6

Key:rss-new-item-in-feed

View on GitHub

RSS Overview#

The RSS app allows users to automatically fetch and parse updates from web feeds. This functionality is pivotal for staying abreast of content changes or updates from websites, blogs, and news outlets that offer RSS feeds. With Pipedream, you can harness the RSS API to trigger workflows that enable a broad range of automations, like content aggregation, monitoring for specific keywords, notifications, and data synchronization across platforms.

Trigger Code#

import rss from "../../app/rss.app.mjs";
import { defineSource } from "@pipedream/types";
import rssCommon from "../common/common.mjs";
export default defineSource({
    ...rssCommon,
    key: "rss-new-item-in-feed",
    name: "New Item in Feed",
    description: "Emit new items from an RSS feed",
    version: "1.2.6",
    type: "source",
    dedupe: "unique",
    props: {
        ...rssCommon.props,
        url: {
            propDefinition: [
                rss,
                "url",
            ],
        },
        publishedAfter: {
            type: "string",
            label: "Published After",
            description: "Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`",
            default: new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString(), // default to one day ago
        },
    },
    hooks: {
        async activate() {
            // Try to parse the feed one time to confirm we can fetch and parse.
            // The code will throw any errors to the user.
            await this.rss.fetchAndParseFeed(this.url);
        },
    },
    methods: {
        ...rssCommon.methods,
        generateMeta: function (item) {
            return {
                id: this.rss.itemKey(item),
                summary: item.title,
                ts: Date.now(),
            };
        },
    },
    async run() {
        const items = await this.rss.fetchAndParseFeed(this.url);
        for (const item of items.reverse()) {
            const publishedAfter = +new Date(this.publishedAfter);
            const ts = this.rss.itemTs(item);
            if (Number.isNaN(publishedAfter) || publishedAfter > ts) {
                continue;
            }
            const meta = this.generateMeta(item);
            this.$emit(item, meta);
        }
    },
});

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
RSS	`rss`	`app`	This component uses the RSS app.
	`timer`	`$.interface.timer`	How often you want to poll the feed for new items
Feed URL	`url`	`string`	Enter the URL for any public RSS feed
Published After	`publishedAfter`	`string`	Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`

Trigger Authentication#

The RSS API does not require authentication.

About RSS#

Real Simple Syndication

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