with Hugging Face and Adobe PDF Services?
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
Extracts text and table element information from a PDF document and returns a JSON file along with table data in XLSX format within a .zip file saved to the /tmp
directory. 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
Extracts text element information from a PDF document and returns a JSON file within a .zip file saved to the /tmp
directory. See the documentation
This task is well known to translate text from one language to another. See the docs
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}`,
},
})
},
})
The Adobe PDF Services API provides a robust set of tools for manipulating and managing PDF files. With this API, you can create, convert, combine, export, and manipulate PDFs directly in Pipedream. The Pipedream platform enables you to build automated workflows that can interact with this API to streamline document-centric processes, such as generating reports, archiving files, or extracting data from PDFs into other formats.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
adobe_pdf_services: {
type: "app",
app: "adobe_pdf_services",
}
},
async run({steps, $}) {
const data = {
"mediaType": `application/pdf`,
}
return await axios($, {
method: "post",
url: `https://pdf-services.adobe.io/assets`,
headers: {
Authorization: `Bearer ${this.adobe_pdf_services.$auth.oauth_access_token}`,
"x-api-key": `${this.adobe_pdf_services.$auth.client_id}`,
"Content-Type": `application/json`,
},
data,
})
},
})