with Async Interview and Hugging Face?
Emit new event when a new interview response is received.
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
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
This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects. See the docs
Usually used for sentiment-analysis this will output the likelihood of classes of an input. This action allows you to classify text into categories. See the docs
The Async Interview API enables automation around video interview processes. With this API, you can craft workflows on Pipedream that manipulate interview data, initiate new interviews, and respond to events within the Async Interview platform. Pipedream's serverless architecture allows you to connect with hundreds of apps to streamline recruitment workflows, analyze interview data, or enhance the candidate experience with personalized interactions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
async_interview: {
type: "app",
app: "async_interview",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.asyncinterview.ai/api/jobs`,
headers: {
Authorization: `Bearer ${this.async_interview.$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}`,
},
})
},
})