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.
Emit new event when a new message is posted in a channel
Emit new event when a new message is received in a chat
Emit new event when a new team is joined by the authenticated user
Classifies image data based on pre-trained classifiers in Nyckel. See the documentation
Create a new channel in Microsoft Teams. See the docs here
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}`,
},
})
},
})
The Microsoft Teams API on Pipedream allows you to automate tasks, streamline communication, and integrate with other services to enhance the functionality of Teams as a collaboration hub. With this API, you can send messages to channels, orchestrate complex workflows based on Teams events, and manage Teams' settings programmatically.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_teams: {
type: "app",
app: "microsoft_teams",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_teams.$auth.oauth_access_token}`,
},
})
},
})