with Google Gemini and Looker?
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
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 Looker API provides programmatic access to Looker's data exploration functionalities, allowing you to tap into your data analytics and share insights across your organization dynamically. With the Looker API on Pipedream, you can automate reporting, synchronize analytics data with other apps, and trigger data-driven workflows. Whether it's scheduling reports, updating dashboards, or integrating data insights into other systems, the Looker API empowers you to make data-informed decisions efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
looker: {
type: "app",
app: "looker",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.looker.$auth.looker_base_url}/api/4.0/user`,
headers: {
"Authorization": `token ${this.looker.$auth.oauth_access_token}`,
},
})
},
})