with fal.ai and tawk.to?
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
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;
},
})
The tawk.to API lets you interact with the tawk.to live chat platform programmatically. Using Pipedream, you can connect tawk.to to a variety of other apps and services to automate notifications, sync chat data, and enhance customer support operations. You can trigger workflows on new messages, follow up on conversations, extract chat transcripts, or link chat events to CRM systems, issue trackers, or databases—all in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tawk_to: {
type: "app",
app: "tawk_to",
}
},
async run({steps, $}) {
const data = {
"type": `business`,
}
return await axios($, {
method: "post",
url: `https://api.tawk.to/v1/property.list`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.tawk_to.$auth.api_key}`,
password: `f`,
},
data,
})
},
})