with heedjy and ElevenLabs?
Emit new event when a new app is published. See the documentation
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
Returns the audio of an history item and converts it to a file. See the documentation
The Heedjy API provides functionalities to understand and predict user behavior on digital platforms. With this API integrated into Pipedream, you can automate processes that depend on user data analytics, predict churn, personalize content, or optimize user experiences in real-time. Pipedream's serverless platform allows you to create intricate workflows that can respond to Heedjy's insights, enabling applications to adapt and engage with users more effectively.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
heedjy: {
type: "app",
app: "heedjy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.heedjy.com/api/apps?all_versions=false&order_by=name%2B&limit=50&returnCount=false`,
headers: {
Authorization: `Bearer ${this.heedjy.$auth.oauth_access_token}`,
},
})
},
})
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.
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}`,
},
})
},
})