← Jotform + Hugging Face integrations

Language Translation with Hugging Face API on New Submission (Instant) from Jotform API

Pipedream makes it easy to connect APIs for Hugging Face, Jotform and 2,000+ other apps remarkably fast.

Trigger workflow on
New Submission (Instant) from the Jotform API
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Language Translation with the Hugging Face API
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Getting Started

This integration creates a workflow with a Jotform 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 Submission (Instant) trigger
    1. Connect your Jotform account
    2. Optional- Select a Team
    3. Select a Form
  3. Configure the Language Translation action
    1. Connect your Hugging Face account
    2. Select a Model ID
    3. Configure Text
  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 form is submitted
Version:0.1.5
Key:jotform-new-submission

Jotform Overview

Using the Jotform API, you can easily add forms to your website or application.
You can also use the Jotform API to manage your form submissions, gather
insights from your form data, and more.

Here are some examples of what you can build using the Jotform API:

  • A contact form for your website
  • A survey form to collect data from your users
  • A registration form for your events or courses
  • A payment form for your products or services
  • A lead capture form to collect leads from your website visitors

Trigger Code

import jotform from "../../jotform.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "jotform-new-submission",
  name: "New Submission (Instant)",
  description: "Emit new event when a form is submitted",
  version: "0.1.5",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    teamId: {
      propDefinition: [
        jotform,
        "teamId",
      ],
    },
    formId: {
      propDefinition: [
        jotform,
        "formId",
        (c) => ({
          teamId: c.teamId,
          excludeDeleted: true,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId, this.teamId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        teamId: this.teamId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
      teamId: this.teamId,
    });

    // insert answers from the webhook event
    const rawRequest = JSON.parse(body.rawRequest);
    for (const key of Object.keys(rawRequest)) {
      const regex = /^q(\d+)_/;
      const match = key.match(regex);
      if (match && match[1]) {
        submission.answers[match[1]].answer = rawRequest[key];
      }
    }

    this.$emit(submission, {
      summary: body.formTitle || JSON.stringify(body),
      id: body.submissionID,
      ts: Date.now(),
    });
  },
  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.
LabelPropTypeDescription
JotformjotformappThis component uses the Jotform app.
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.
TeamteamIdstringSelect a value from the drop down menu.
FormformIdstringSelect a value from the drop down menu.

Trigger Authentication

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

About Jotform

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

Action

Description:This task is well known to translate text from one language to another. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#translation).
Version:0.0.1
Key:hugging_face-language-translation

Action Code

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

export default {
  key: "hugging_face-language-translation",
  name: "Language Translation",
  description: "This task is well known to translate text from one language to another. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#translation).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    modelId: {
      propDefinition: [
        app,
        "modelId",
        () => ({
          tagFilter: tag.TRANSLATION,
        }),
      ],
    },
    text: {
      type: "string",
      label: "Text",
      description: "The text to use for translation.",
    },
  },
  async run({ $: step }) {
    const {
      modelId,
      text,
    } = this;

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

    step.export("$summary", "Successfully translated text");

    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.
Texttextstring

The text to use for translation.

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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