← Parseur + Hugging Face integrations

Image Classification with Hugging Face API on New Document Not Processed from Parseur API

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New Document Not Processed from the Parseur API
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Image Classification with the Hugging Face API
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Getting Started

This integration creates a workflow with a Parseur trigger and Hugging Face action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Document Not Processed trigger
    1. Connect your Parseur account
    2. Select a Parser ID
  3. Configure the Image Classification action
    1. Connect your Hugging Face account
    2. Select a Model ID
    3. Configure Image URL
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event when a new document is not processed. It is triggered when a document fails to process with status `New Template Needed`. [See the docs](https://help.parseur.com/en/articles/3566155-send-parsed-data-using-webhooks).
Version:0.0.1
Key:parseur-new-document-not-processed

Parseur Overview

Parseur is a powerful email parsing tool that automates the extraction of data from emails and documents. With its API, you can unlock the data trapped in emails and documents and transform it into structured data. On Pipedream, you can use Parseur to trigger workflows from parsed email data, connecting it to hundreds of other services for endless automation possibilities. This can streamline business processes like lead management, invoice processing, and data entry by automating the extraction and flow of critical information.

Trigger Code

import common from "../common/webhook.mjs";
import events from "../common/events.mjs";

export default {
  ...common,
  key: "parseur-new-document-not-processed",
  name: "New Document Not Processed",
  description: "Emit new event when a new document is not processed. It is triggered when a document fails to process with status `New Template Needed`. [See the docs](https://help.parseur.com/en/articles/3566155-send-parsed-data-using-webhooks).",
  type: "source",
  version: "0.0.1",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getEventName() {
      return events.DOCUMENT_TEMPLATE_NEEDED;
    },
    generateMeta() {
      const ts = Date.now();
      return {
        id: ts,
        summary: "New Document Not Processed",
        ts,
      };
    },
  },
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
ParseurappappThis component uses the Parseur app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
Parser IDparserIdstringSelect a value from the drop down menu.

Trigger Authentication

Parseur uses API keys for authentication. When you connect your Parseur account, Pipedream securely stores the keys so you can easily authenticate to Parseur APIs in both code and no-code steps.

Parseur API uses a token-based authentication.
You will find your API Token Key in your Account Overview.

About Parseur

Parseur is the most powerful and user-friendly mail parser. A data extraction tool to automatically extract text from your emails, pdfs, and other documents.

Action

Description:This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#imageclassification).
Version:0.0.1
Key:hugging_face-image-classification

Hugging Face Overview

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.

Action Code

import app from "../../hugging_face.app.mjs";
import tag from "../common/tag.mjs";

export default {
  key: "hugging_face-image-classification",
  name: "Image Classification",
  description: "This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#imageclassification).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    modelId: {
      propDefinition: [
        app,
        "modelId",
        () => ({
          tagFilter: tag.IMAGE_CLASSIFICATION,
        }),
      ],
    },
    imageUrl: {
      description: "The image url to use for classification.",
      propDefinition: [
        app,
        "imageUrl",
      ],
    },
  },
  async run({ $: step }) {
    const {
      modelId,
      imageUrl,
    } = this;

    const image = await this.app.getBinaryFromUrl(imageUrl);

    const response = await this.app.inference({
      step,
      modelId,
      data: {
        inputs: {
          image,
        },
      },
    });

    step.export("$summary", "Successfully classified image");

    return response;
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
Hugging FaceappappThis component uses the Hugging Face app.
Model IDmodelIdstringSelect a value from the drop down menu.
Image URLimageUrlstring

The image url to use for classification.

Action Authentication

Hugging Face uses API keys for authentication. When you connect your Hugging Face account, Pipedream securely stores the keys so you can easily authenticate to Hugging Face APIs in both code and no-code steps.

To retrieve your Access Tokens,

  • Navigate to your Hugging Face account and sign in
  • Go to “Settings” > “Access Tokens”

About Hugging Face

Build, train and deploy state of the art models powered by the reference open source in machine learning.

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