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
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Finds a row in a table via a custom query. See the 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,
})
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})