with ElevenLabs and Google Gemini?
Generates content from text input using the Google Gemini API. See the documentation
Generates content from both text and image input using the Gemini API. 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
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}`,
},
})
},
})
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})