with Google Classroom and Google Gemini?
Generates content from text input using the Google Gemini API. See the documentation
Retrieve information about an assignment. See the docs here
Generates content from both text and image input using the Gemini API. See the documentation
Retrieve a list of assignments for a course. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
The Google Classroom API lets you tap into the educational space by managing courses, assignments, and student interactions programmatically. With this API, you can automate course creation, roster management, and content distribution, effectively bridging the gap between various educational tools and platforms. Leveraging Pipedream's serverless execution environment, you can build powerful workflows that respond to events in Classroom, sync data across platforms, and streamline the educational process for teachers and students alike.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_classroom: {
type: "app",
app: "google_classroom",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_classroom.$auth.oauth_access_token}`,
},
})
},
})
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
})
},
})