with Thinkific and Google Gemini?
Generates content from text input using the Google Gemini API. See the documentation
Creates a new Enrollment for specified student in specified course. 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
Thinkific's API opens a treasure trove of possibilities for automating and enhancing the e-learning experience. It provides programmatic access to your Thinkific site, allowing you to manage courses, users, enrollments, and more. With Pipedream's serverless platform, you can connect Thinkific to a multitude of other applications, automate tasks, sync data across various services, and trigger workflows based on specific events, all without writing a line of server code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
thinkific: {
type: "app",
app: "thinkific",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.thinkific.com/api/public/v1/courses`,
headers: {
"X-Auth-API-Key": `${this.thinkific.$auth.api_key}`,
"X-Auth-Subdomain": `${this.thinkific.$auth.subdomain}`,
"Content-Type": `application/json`,
},
})
},
})
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
})
},
})