with Studio by AI21 Labs and fal.ai?
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. 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
Gets the status of a request in the queue. This allows you to monitor the progress of your asynchronous tasks. See the documentation
Studio by AI21 Labs API enables the crafting of human-like text using advanced language models. It can generate content, answer questions, summarize text, or even customize language models for specific tasks. When integrated into Pipedream, this API becomes part of powerful automations that can process and generate textual content dynamically, reacting to various triggers such as incoming emails, form submissions, or scheduled events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
studio_by_ai21_labs: {
type: "app",
app: "studio_by_ai21_labs",
}
},
async run({steps, $}) {
const data = {
"text": `Pipedream is the fastest way to automate any process that connects APIs. Build and run workflows with code-level control when you need it, and no code when you don't. The Pipedream platform includes a serverless runtime and workflow service, source-available triggers and actions for hundreds of integrated apps, and one-click OAuth and key-based authentication for more than 1000 APIs (use tokens directly in code or with pre-built actions).`,
}
return await axios($, {
method: "post",
url: `https://api.ai21.com/studio/v1/experimental/summarize`,
headers: {
Authorization: `Bearer ${this.studio_by_ai21_labs.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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;
},
})