Deploy high-quality, natural-sounding human voices in dozens of languages.
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
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));
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})