Nyckel makes image and text classification easy for everyone. In just a few minutes, you can build an AI model to categorize images and text using any labels you want. No machine learning experience needed.
Classifies image data based on pre-trained classifiers in Nyckel. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Classifies text data based on pre-trained classifiers in Nyckel. See the documentation
The Nyckel API offers machine learning capabilities, enabling you to add custom image and text classification to your applications without needing a data science background. With Nyckel, you can train models, make predictions, and refine your model iteratively as new data comes in. On Pipedream, you can integrate Nyckel to automate various tasks such as processing images uploaded to cloud storage, categorizing customer support tickets, or augmenting content moderation workflows. By harnessing the power of serverless on Pipedream, you can create efficient pipelines that respond in real-time to events, without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nyckel: {
type: "app",
app: "nyckel",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.nyckel.com/v1/functions`,
headers: {
Authorization: `Bearer ${this.nyckel.$auth.oauth_access_token}`,
},
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})