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with LiveKit and Hugging Face?
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Popular Ways to Connect LiveKit with Hugging Face#
Popular LiveKit and Hugging Face Triggers#
Emit new event for LiveKit room activities via webhook. See the documentation
Popular LiveKit and Hugging Face Actions#
Create a new ingress from url in LiveKit. See the documentation
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
Connect LiveKit#
import { RoomServiceClient } from 'livekit-server-sdk';
export default defineComponent({
props: {
livekit: {
type: "app",
app: "livekit",
}
},
async run({steps, $}) {
const svc = new RoomServiceClient(
this.livekit.$auth.project_url,
this.livekit.$auth.api_key,
this.livekit.$auth.secret_key);
return await svc.listRooms();
},
})Overview of Hugging Face#
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.
Connect Hugging Face#
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}`,
},
})
},
})
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