with Kanban Tool and Hugging Face?
Emit new events when a new activity occured on selected board. See the docs
Emit new events when a new board collaborator is created on selected board. See the docs
Emit new events when a new board is created or given access for a new board. See the docs
Emit new events when a new card type is created on selected board. See the docs
Emit new events when a new comment is created on selected board. See the docs
Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs
Marks a subtask as completed See the docs here
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs
The Kanban Tool API allows for the seamless integration and manipulation of Kanban boards, tasks, and workflows to optimize project management and team collaboration. By leveraging this API on Pipedream, you can automate task updates, synchronize boards with other data sources, and create custom notifications—thus enhancing productivity and maintaining momentum across projects.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kanban_tool: {
type: "app",
app: "kanban_tool",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.kanban_tool.$auth.domain}.kanbantool.com/api/v3/users/current.json`,
headers: {
Authorization: `Bearer ${this.kanban_tool.$auth.api_token}`,
},
})
},
})
The Hugging Face API provides access to a vast range of machine learning models, primarily for natural language processing (NLP) tasks like text classification, translation, summarization, and question answering. It lets you leverage pre-trained models and fine-tune them on your data. Using the API within Pipedream, you can automate workflows that involve language processing, integrate AI insights into your apps, or respond to events with AI-generated content.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hugging_face: {
type: "app",
app: "hugging_face",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://huggingface.co/api/whoami-v2`,
headers: {
Authorization: `Bearer ${this.hugging_face.$auth.access_token}`,
},
})
},
})