with ScrapeGraphAI and Hugging Face?
Extract content from HTML content using AI by providing a natural language prompt and the HTML content. 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
Convert any webpage into clean, readable Markdown format. See the documentation
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs
Extract content from a webpage using AI by providing a natural language prompt and a URL. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scrapegraphai: {
type: "app",
app: "scrapegraphai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.scrapegraphai.com/v1/credits`,
headers: {
"sgai-apikey": `${this.scrapegraphai.$auth.api_key}`,
},
})
},
})
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}`,
},
})
},
})