with Transloadit and Deepgram?
Emit new event when a Transloadit assembly finishes processing. See the documentation
Emit new event when a failed occurs during assembly processing. See the documentation
Cancel a running assembly by its assembly ID. Useful for aborting processing jobs that are no longer needed. See the documentation
Retrieves details about the specified balance. See the documentation
Create a new assembly to process files using a specified template and steps. See the documentation
Retrieves basic information about the specified project. See the documentation
Retrieve the current status and results of an existing assembly. See the documentation
import Transloadit from 'transloadit';
export default defineComponent({
props: {
transloadit: {
type: "app",
app: "transloadit",
}
},
async run({ steps, $ }) {
const transloadit = new Transloadit({
authKey: this.transloadit.$auth.auth_key,
authSecret: this.transloadit.$auth.auth_secret
})
const options = {
params: {
steps: {
"encoded": {
"use": ":original",
"robot": "/video/encode",
"preset": "iphone-high"
},
"thumbed": {
"use": "encoded",
"robot": "/video/thumbs",
"count": 8
}
}
},
waitForCompletion: true,
}
return await transloadit.createAssembly(options);
},
})
The Deepgram API offers powerful speech recognition capabilities, enabling you to transcribe, search, and analyze audio data with ease. With its cutting-edge machine learning models, you can uncover insights from voice conversations, automate content moderation, and enhance user experience by converting spoken words into text. Pipedream, as a serverless integration platform, empowers you to craft custom workflows that harness the potential of Deepgram. By connecting to various apps, you can automate complex tasks, analyze audio data on-the-fly, and respond to audio-driven events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
deepgram: {
type: "app",
app: "deepgram",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.deepgram.com/v1/projects`,
headers: {
"Authorization": `Token ${this.deepgram.$auth.api_key}`,
},
})
},
})