Document Question Answering with Hugging Face API on Deal Updated (Instant) from Pipedrive API

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Deal Updated (Instant) from the Pipedrive API

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Document Question Answering with the Hugging Face API

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Getting Started#

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

Select this integration
Configure the Deal Updated (Instant) trigger
1. Connect your Pipedrive account
Configure the Document Question Answering action
1. Connect your Hugging Face account
2. Select a Model ID
3. Configure Image URL
4. Configure Question
Deploy the workflow
Send a test event to validate your setup
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#

Deal Updated (Instant) on Pipedrive

Description:Emit new event when a deal is updated.

Version:0.1.8

Key:pipedrive-updated-deal-instant

View on GitHub

Pipedrive Overview#

Pipedrive API on Pipedream allows you to create powerful sales automation and data management workflows. With access to Pipedrive's CRM capabilities, you can automate deal updates, contact management, and sales reporting. Whether you're syncing customer information across platforms or triggering actions based on deal stages, Pipedream makes these integrations seamless.

Trigger Code#

import { parseData } from "../../common/utils.mjs";
import common from "../common/base.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "pipedrive-updated-deal-instant",
  name: "Deal Updated (Instant)",
  description: "Emit new event when a deal is updated.",
  version: "0.1.8",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getExtraData() {
      return {
        event_action: "change",
        event_object: "deal",
      };
    },
    getSummary(body) {
      return `Deal successfully updated: ${body.data.id}`;
    },
    async parseData(body) {
      return await parseData({
        fn: this.pipedrive.getDealCustomFields,
        body,
      });
    },
  },
  sampleEmit,
};

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.

Label	Prop	Type	Description
Pipedrive	`pipedrive`	`app`	This component uses the Pipedrive app.
N/A	`http`	`$.interface.http`	This component uses `$.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.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

Trigger Authentication#

Pipedrive uses OAuth authentication. When you connect your Pipedrive account, Pipedream will open a popup window where you can sign into Pipedrive and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Pipedrive API.

Pipedream requests the following authorization scopes when you connect your account:

About Pipedrive#

Pipedrive is the easy-to-use, #1 user-rated CRM tool. Get more qualified leads and grow your business with Pipedrive's sales CRM.

Action#

Document Question Answering on Hugging Face

Description: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](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#questionanswer).

Version:0.0.2

Key:hugging_face-document-question-answering

View on GitHub

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-document-question-answering",
  name: "Document Question Answering",
  description: "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](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#questionanswer).",
  type: "action",
  version: "0.0.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  props: {
    app,
    modelId: {
      propDefinition: [
        app,
        "modelId",
        () => ({
          tagFilter: tag.DOCUMENT_QUESTION_ANSWERING,
        }),
      ],
    },
    imageUrl: {
      description: "The image url to use for answering the question.",
      propDefinition: [
        app,
        "imageUrl",
      ],
    },
    question: {
      type: "string",
      label: "Question",
      description: "The question to ask.",
    },
  },
  async run({ $: step }) {
    const {
      modelId,
      imageUrl,
      question,
    } = this;

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

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

    step.export("$summary", `Successfully answered question with score ${response[0].score}`);

    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.

Label	Prop	Type	Description
Hugging Face	`app`	`app`	This component uses the Hugging Face app.
Model ID	`modelId`	`string`	Select a value from the drop down menu.
Image URL	`imageUrl`	`string`	The image url to use for answering the question.
Question	`question`	`string`	The question to ask.

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.

More Ways to Connect Hugging Face + Pipedrive#

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Document Question Answering with Hugging Face API on Deal Updated (Instant) from Pipedrive API

Pipedream makes it easy to connect APIs for Hugging Face, Pipedrive and 3,000+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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