with Thinkific and fal.ai?
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. See the documentation
Creates a new Enrollment for specified student in specified course. See the documentation
Cancels a request in the queue. This allows you to stop a long-running task if it's no longer needed. See the documentation
Gets the response of a completed request in the queue. This retrieves the results of your asynchronous task. 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`,
},
})
},
})
import { fal } from "@fal-ai/client"
export default defineComponent({
props: {
fal_ai: {
type: "app",
app: "fal_ai",
}
},
async run({ steps, $ }) {
fal.config({
credentials: `${this.fal_ai.$auth.api_key}`,
});
const result = await fal.subscribe("fal-ai/lora", {
input: {
model_name: "stabilityai/stable-diffusion-xl-base-1.0",
prompt:
"Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
},
logs: true,
});
return result;
},
})