with Google Gemini and Vercel?
Generates content from text input using the Google Gemini API. See the documentation
Cancel a deployment which is currently building. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Create a new deployment from a GitHub repository. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
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
})
},
})
The Vercel API empowers developers to automate, manage, and interact with their Vercel projects and deployments directly through code. With the Vercel API on Pipedream, you can harness the power of serverless functions to create dynamic and responsive workflows. Automate deployment processes, sync deployment statuses with other tools, trigger notifications based on deployment events, or manage your domains and aliases—all within the seamless integration landscape of Pipedream.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vercel_token_auth: {
type: "app",
app: "vercel_token_auth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.vercel.com/www/user`,
headers: {
Authorization: `Bearer ${this.vercel_token_auth.$auth.personal_access_token}`,
},
})
},
})