with Transloadit and MonkeyLearn?
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
Create a new assembly to process files using a specified template and steps. See the documentation
Extracts information from texts with a given extractor. See the docs here
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);
},
})
MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monkeylearn: {
type: "app",
app: "monkeylearn",
}
},
async run({steps, $}) {
const data = {
"data": [
"This is a great tool!",
]
}
return await axios($, {
method: "post",
url: `https://api.monkeylearn.com/v3/classifiers/cl_pi3C7JiL/classify/`,
headers: {
"Authorization": `Token ${this.monkeylearn.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})