Automate your customer support with ChatGPT. SiteSpeakAI helps you create a custom trained AI powered support chatbot for your business or website.
Emit new event when a new lead is created in SiteSpeakAI. See the documentation
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
Queries your chatbot and returns the answer and URLs used to find the answer. See the documentation
SiteSpeakAI is a versatile API that brings voice to your digital spaces. You can use it to convert text into lifelike spoken audio in various languages and dialects. With Pipedream, you can automate and integrate this capability into various workflows, reacting to events, processing data, and connecting with other APIs or services. Whether to enhance user experience with voice responses, create audio content dynamically, or provide accessibility features, SiteSpeakAI opens up a world of audio interaction possibilities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sitespeakai: {
type: "app",
app: "sitespeakai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.sitespeak.ai/v1/me`,
headers: {
Authorization: `Bearer ${this.sitespeakai.$auth.api_token}`,
},
})
},
})
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);
},
});