with monday (API Key) and Amazon Polly?
Emit new event when a column value is updated on a board. See the documentation
Emit new event when an item's name is updated. See the documentation
Emit new event when a board is created in Monday. See the documentation
Emit new event when a new item is added to a board. See the documentation
Emit new event when a sub-item is created. See the documentation
The monday.com API unlocks the potential to automate workflows, sync data across applications, and create dynamic project management solutions. With this API on Pipedream, you can craft custom integrations that respond to events in monday.com, manipulate boards, items, and columns, and harmonize project data with third-party services to streamline operations, reduce manual workload, and ensure consistent information flow within your business ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monday: {
type: "app",
app: "monday",
}
},
async run({steps, $}) {
const data = {
query: `query {
me {
id
email
}
}`
}
return await axios($, {
method: "post",
url: `https://api.monday.com/v2`,
headers: {
"Authorization": `${this.monday.$auth.api_key}`,
},
data,
})
},
})
The Amazon Polly API lets you convert text into lifelike speech using deep learning. With Polly, you can create applications that talk and build entirely new categories of speech-enabled products. Pipedream's platform enables you to integrate Polly's capabilities into workflows that can automate tasks, like generating audio files from blog posts or alert messages, and piping them to various services or storage solutions.
import AWS from 'aws-sdk'
import { PollyClient, StartSpeechSynthesisTaskCommand } from "@aws-sdk/client-polly"
export default defineComponent({
props: {
amazon_polly: {
type: "app",
app: "amazon_polly",
}
},
async run({steps, $}) {
const { accessKeyId, secretAccessKey } = auths.amazon_polly
// Create an Amazon Polly service client object.
const creds = new AWS.Credentials(accessKeyId, secretAccessKey);
const pollyClient = new PollyClient({ credentials: creds, region: "us-east-1" });
// Create input data
var data = {
OutputFormat: "mp3",
OutputS3BucketName: "videoanalyzerbucket",
Text: "Hello David, How are you?",
TextType: "text",
VoiceId: "Joanna",
SampleRate: "22050",
};
return await pollyClient.send(new StartSpeechSynthesisTaskCommand(data));
},
})