← Jotform + Leap integrations

Create Image Generation Job with Leap API on New Submission (Instant) from Jotform API

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Trigger workflow on
New Submission (Instant) from the Jotform API
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Create Image Generation Job with the Leap API
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Getting Started

This integration creates a workflow with a Jotform trigger and Leap 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 Create Image Generation Job action
    1. Connect your Leap account
    2. Select a Model
    3. Configure Prompt
    4. Optional- Configure Negative Prompt
    5. Optional- Configure Number of Images
    6. Optional- Configure Restore Faces
    7. Optional- Configure Webhook 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 form is submitted
Version:0.1.5
Key:jotform-new-submission

Jotform Overview

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

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:Queues an image generation job and returns the job details. [See the documentation](https://docs.tryleap.ai/reference/inferencescontroller_create-1)
Version:0.0.1
Key:leap-create-image-generation-job

Leap Overview

The Leap API enables automated interactions with the Leap.ai platform, which focuses on matching users with optimal job opportunities based on skills and preferences. In Pipedream, you can harness this API to create workflows that streamline the job search process, manage and analyze job matching data, or even integrate with other platforms to enhance the job seeking experience. With Pipedream's serverless execution environment, you can trigger these workflows on a schedule, via webhooks, or in response to events from other apps.

Action Code

import leap from "../../leap.app.mjs";

export default {
  key: "leap-create-image-generation-job",
  name: "Create Image Generation Job",
  description: "Queues an image generation job and returns the job details. [See the documentation](https://docs.tryleap.ai/reference/inferencescontroller_create-1)",
  version: "0.0.1",
  type: "action",
  props: {
    leap,
    model: {
      propDefinition: [
        leap,
        "model",
      ],
    },
    prompt: {
      type: "string",
      label: "Prompt",
      description: "Text description of the image you want to create",
    },
    negativePrompt: {
      type: "string",
      label: "Negative Prompt",
      description: "Text description of what should be avoided / not included in your generated image",
      optional: true,
    },
    numberOfImages: {
      type: "integer",
      label: "Number of Images",
      description: "The number of images to generate for the inference. Max batch size is 20.",
      optional: true,
      max: 20,
    },
    restoreFaces: {
      type: "boolean",
      label: "Restore Faces",
      description: "Optionally apply face restoration to the generated images. This will make images of faces look more realistic.",
      optional: true,
    },
    webhookUrl: {
      type: "string",
      label: "Webhook URL",
      description: "An optional webhook URL that will be called when the model is trained",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.leap.createImageGenerationJob({
      modelId: this.model,
      data: {
        prompt: this.prompt,
        negativePrompt: this.negativePrompt,
        numberOfImages: this.numberOfImages,
        restoreFaces: this.restoreFaces,
        webhookUrl: this.webhookUrl,
      },
      $,
    });

    if (response) {
      $.export("$summary", `Successfully created image generation job with id ${response.id}`);
    }

    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
LeapleapappThis component uses the Leap app.
ModelmodelstringSelect a value from the drop down menu.
Promptpromptstring

Text description of the image you want to create

Negative PromptnegativePromptstring

Text description of what should be avoided / not included in your generated image

Number of ImagesnumberOfImagesinteger

The number of images to generate for the inference. Max batch size is 20.

Restore FacesrestoreFacesboolean

Optionally apply face restoration to the generated images. This will make images of faces look more realistic.

Webhook URLwebhookUrlstring

An optional webhook URL that will be called when the model is trained

Action Authentication

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

To retrieve your API Keys,

  • Navigate to your Leap account and sign in
  • Click on one of your Projects on the top left dropdown
  • Go to “API Keys”

About Leap

Add AI features to your app in minutes. Generate images, fine tune models, and more with our easy-to-use API.

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