with Mode 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
Generate embeddings from text input using Google Gemini. See the documentation
The Mode API provides programmatic access to Mode's analytics platform, allowing you to automate interactions with your Mode workspace. Using Mode with Pipedream, you can create workflows that interact with reports, queries, and spaces, or even manage members and permissions. This can include tasks like triggering a report run, fetching query results, or syncing users from other systems into Mode. By leveraging Pipedream's serverless platform, you can build robust, event-driven automations that integrate Mode with hundreds of other apps without the need for dedicated infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mode: {
type: "app",
app: "mode",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.mode.com/api/account`,
headers: {
"Accept": `application/json`,
"Content-Type": `application/json`,
},
auth: {
username: `${this.mode.$auth.token}`,
password: `${this.mode.$auth.password}`,
},
})
},
})
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
})
},
})