with Fauna and Hugging Face?
Emit new event each time you add or remove a document from a specific collection, with the details of the document.
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
Performs an arbitrary authorized GraphQL query. See 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
This task is well known to translate text from one language to another. See the docs
Fauna API offers a powerful serverless database solution for modern applications. Its unique capabilities allow for highly scalable, secure, and flexible data management. With Pipedream, you can harness the power of Fauna to create intricate serverless workflows that react to various triggers, manage data efficiently, and connect seamlessly with other services and APIs to automate complex tasks.
module.exports = defineComponent({
props: {
faunadb: {
type: "app",
app: "faunadb",
}
},
async run({steps, $}) {
const faunadb = require('faunadb')
const q = faunadb.query
const client = new faunadb.Client({ secret: this.faunadb.$auth.secret })
// Lists collections in the database tied to your secret key
const collectionsPaginator = await client.paginate(q.Collections())
this.collections = []
await collectionsPaginator.each(page => {
for (const collection of page) {
this.collections.push(collection.id)
}
})
},
})
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}`,
},
})
},
})