Integrate artificial intelligence into your applications without deploying models and no infra.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
Transcribe an audio file to text with Astica AI See the documentation
Convert text to voice audio with Astica AI See the documentation
The Astica.ai API affords developers the ability to tap into advanced natural language processing (NLP) capabilities. By integrating this API into Pipedream workflows, you can automate text analysis, summarization, sentiment analysis, and more, leveraging the AI-powered insights to enrich applications or streamline processes. Pipedream’s serverless platform makes it painless to set up event-driven workflows that respond to various triggers and manipulate or move data between apps with no need for infrastructure management.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
astica_ai: {
type: "app",
app: "astica_ai",
}
},
async run({steps, $}) {
const data = {
"tkn": `${this.astica_ai.$auth.api_key}`,
"modelVersion": `2.1_full`,
"input": `https://www.astica.org/inputs/analyze_3.jpg`,
"visionParams": `gpt, describe, describe_all, tags, objects`,
"gpt_prompt": ``,
"gpt_length": `90`,
}
return await axios($, {
method: "post",
url: `https://vision.astica.ai/describe`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});