with Twitch and Amazon Polly?
Blocks a user; that is, adds a specified target user to your blocks list
Checks if you are subscribed to the specified user's channel
Retrieves a list of users who follow the authenticated user. See the documentation
The Twitch API unlocks a world of possibilities for engaging with live streaming communities and understanding audience behaviors. With Pipedream, you can harness this API to automate many aspects of Twitch interaction and analysis. From tracking stream stats to automating chat messages, the Twitch API lets you create workflows that interact with Twitch's vast live streaming ecosystem. Pipedream's serverless platform streamlines these tasks, making it simple to connect Twitch with other services for enhanced functionalities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
twitch: {
type: "app",
app: "twitch",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.twitch.tv/helix/users`,
headers: {
Authorization: `Bearer ${this.twitch.$auth.oauth_access_token}`,
"Client-ID": `${this.twitch.$auth.oauth_client_id}`,
},
})
},
})
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));
},
})