ElevenLabs

Research lab exploring new frontiers of Voice AI. Deploying tools for prime long-form synthetic speech, voice cloning and automatic dubbing.

Integrate the ElevenLabs API with the Google Dialogflow API

Setup the ElevenLabs API trigger to run a workflow which integrates with the Google Dialogflow API. Pipedream's integration platform allows you to integrate ElevenLabs and Google Dialogflow remarkably fast. Free for developers.

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Create Entity Type with Google Dialogflow API on New History Item Created from ElevenLabs API
ElevenLabs + Google Dialogflow
 
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Create Context with Google Dialogflow API on New History Item Created from ElevenLabs API
ElevenLabs + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New History Item Created from ElevenLabs API
ElevenLabs + Google Dialogflow
 
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Create Intent with Google Dialogflow API on New History Item Created from ElevenLabs API
ElevenLabs + Google Dialogflow
 
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Create or Update Agent with Google Dialogflow API on New History Item Created from ElevenLabs API
ElevenLabs + Google Dialogflow
 
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New History Item Created from the ElevenLabs API

Emit new event when a new history item is created.

 
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Add Voice with the ElevenLabs API

Add a voice from one or more audio files. See the documentation

 
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Create Context with the Google Dialogflow API

Creates a context, See REST docs and client API

 
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Download History Items with the ElevenLabs API

Download one or more history items to your workflow's tmp directory. If one history item ID is provided, we will return a single audio file. If more than one history item IDs are provided, we will provide the history items packed into a .zip file. See the documentation

 
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Create Entities with the Google Dialogflow API

Batch create entities, See REST docs and client API docs

 
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Get Audio From History Item with the ElevenLabs API

Returns the audio of an history item and converts it to a file. See the documentation

 
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Overview of ElevenLabs

The ElevenLabs API offers text-to-speech capabilities with realistic voice synthesis. Integrating this API on Pipedream allows you to build automated workflows that convert text content into spoken audio files. You can trigger these conversions from various events, process the text data, send it to the ElevenLabs API, and handle the audio output—all within a serverless environment.

Connect ElevenLabs

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    elevenlabs: {
      type: "app",
      app: "elevenlabs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.elevenlabs.io/v1/user`,
      headers: {
        "Accept": `application/json`,
        "xi-api-key": `${this.elevenlabs.$auth.api_key}`,
      },
    })
  },
})

Overview of Google Dialogflow

Google Dialogflow API empowers you to create conversational interfaces for websites, apps, and messaging platforms. Think chatbots that can engage in human-like dialogue, provide customer support, guide through sales processes, or control smart home devices with voice commands. With Pipedream's integration capabilities, you can create automated workflows that trigger actions in other apps based on Dialogflow's processed input, enabling seamless interaction across a plethora of services.

Connect Google Dialogflow

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module.exports = defineComponent({
  props: {
    google_dialogflow: {
      type: "app",
      app: "google_dialogflow",
    }
  },
  async run({steps, $}) {
    // Example code from the Dialogflow Node.js library:
    // https://github.com/googleapis/nodejs-dialogflow
    const dialogflow = require('dialogflow')
    const uuid = require('uuid')
    
    // A unique identifier for the given session
    const sessionId = uuid.v4()
    
    const key = JSON.parse(this.google_dialogflow.$auth.key_json)
     
    // Creates a session client from a Google service account key.
    const sessionClient = new dialogflow.SessionsClient({
      projectId: key.project_id,
      credentials: {
        client_email: key.client_email,
        private_key: key.private_key,
      }
    })
    const sessionPath = sessionClient.sessionPath(key.project_id, sessionId)
    
    // The text query request.
    const request = {
      session: sessionPath,
      queryInput: {
        text: {
          // The query to send to the dialogflow agent
          text: 'hello',
          // The language used by the client (en-US)
          languageCode: 'en-US',
        },
      },
    }
    
    // Send request and log result
    const responses = await sessionClient.detectIntent(request)
    console.log('Detected intent')
    const result = responses[0].queryResult
    console.log(`Query: ${result.queryText}`)
    console.log(`Response: ${result.fulfillmentText}`)
    if (result.intent) {
      console.log(`Intent: ${result.intent.displayName}`)
    } else {
      console.log(`No intent matched.`)
    }
  },
})

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

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Adyen logo
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LinkedIn logo
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