Train your own AI on documents, images, or text data to perform daily, repetitive tasks so your team can reach the next level of productivity
Convert an object to a JSON format string
Add or subtract time from a given input
Get the duration between two dates in days, hours, minutes, and seconds along with checking if they are the same.
Format a date string to another date string. For more examples on formatting, see the Sugar Date Format documentation.
The Levity API provides a platform for creating AI-powered workflows that can classify images, text, and data with ease. Using this API in Pipedream, you can automate decision-making processes, enhance data categorization, and streamline content moderation by leveraging machine learning models. It integrates smoothly within Pipedream's serverless environment, allowing you to build complex workflows without spinning up a single server.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
levity: {
type: "app",
app: "levity",
}
},
async run({steps, $}) {
const data = {
"url": `{replace_with_image_url}`,
}
return await axios($, {
method: "post",
url: `https://api.levity.ai/v1/classifiers/{your_classifier_id}/classify/`,
headers: {
"Authorization": `Token ${this.levity.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})