← Jotform + OpenAI (ChatGPT) integrations

Create Image with OpenAI (ChatGPT) API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API
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Create Image with the OpenAI (ChatGPT) API
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Getting Started

This integration creates a workflow with a Jotform trigger and OpenAI (ChatGPT) 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. Select a Form
    3. Optional- Configure Encrypted
  3. Configure the Create Image action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Model
    3. Configure Prompt
    4. Optional- Configure N
    5. Optional- Select a Quality
    6. Optional- Select a Style
    7. Optional- Select a Response Format
    8. Optional- Select a Size
  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:0.1.2
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: "0.1.2",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    formId: {
      propDefinition: [
        jotform,
        "formId",
      ],
    },
    encrypted: {
      propDefinition: [
        jotform,
        "encrypted",
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.encrypted) {
      props.privateKey = jotform.propDefinitions.privateKey;
    }
    return props;
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        if (this.encrypted) {
          submission = this.jotform.decryptSubmission(submission, this.privateKey);
        }
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
    });

    // 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];
      }
    }

    if (this.encrypted) {
      submission = this.jotform.decryptSubmission(submission, this.privateKey);
    }

    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.
FormformIdstringSelect a value from the drop down menu.
Encryptedencryptedboolean

Are the form responses encrypted? Set to true to decrypt responses.

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.

  1. Get your Jotform API key. The API key must grant Pipedream Full Permissions. Pipedream requires this level of access to automatically register webhooks for your selected forms so you can trigger Pipedream workflows on form submissions.

apikey

  1. For the region field, enter api if none of the below apply.
  • If "Europe Datacenter" is selected in the "Data" section of your Jotform account, enter eu-api
  • If your account is HIPAA-compliant, enter hipaa-api
  • If you have an Enterprise Jotform account, enter the subdomain (if your Jotform URL is https://acmecompany.jotform.com, your subdomain is acmecompany)

About Jotform

Online form builder for business

Action

Description:Creates an image given a prompt. returns a URL to the image. [See docs here](https://platform.openai.com/docs/api-reference/images)
Version:0.1.11
Key:openai-create-image

OpenAI (ChatGPT) Overview

The OpenAI API is a powerful tool that provides access to a range of
high-powered machine learning models. With the OpenAI API, developers can
create products, services, and tools that enable humanizing AI experiences, and
build applications that extend the power of human language.

Using the OpenAI API, developers can create language-driven applications such
as:

  • Natural language understanding and sentiment analysis
  • Text-based search
  • Question answering
  • Dialogue systems and conversation agents
  • Intelligent text completion
  • Text summarization
  • Text classification
  • Machine translation
  • Language generation
  • Multi-factor authentication
  • Anomaly detection
  • Text analysis

Action Code

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

export default {
  name: "Create Image",
  version: "0.1.11",
  key: "openai-create-image",
  description: "Creates an image given a prompt. returns a URL to the image. [See docs here](https://platform.openai.com/docs/api-reference/images)",
  type: "action",
  props: {
    openai,
    model: {
      label: "Model",
      description: "Choose the DALL·E models to generate image(s) with.",
      type: "string",
      options: [
        {
          label: "dall-e-2",
          value: "dall-e-2",
        },
        {
          label: "dall-e-3",
          value: "dall-e-3",
        },
      ],
      default: "dall-e-3",
    },
    prompt: {
      label: "Prompt",
      description: "A text description of the desired image(s). The maximum length is 1000 characters.",
      type: "string",
    },
    n: {
      label: "N",
      description: "The number of images to generate. Must be between 1 and 10.",
      type: "integer",
      optional: true,
      default: 1,
    },
    quality: {
      label: "Quality",
      description: "The quality of the image",
      type: "string",
      optional: true,
      options: [
        {
          label: "Standard",
          value: "standard",
        },
        {
          label: "HD",
          value: "hd",
        },
      ],
      default: "standard",
    },
    style: {
      label: "Style",
      description: "The style of the image",
      type: "string",
      optional: true,
      options: [
        {
          label: "Natural",
          value: "natural",
        },
        {
          label: "Vivid",
          value: "vivid",
        },
      ],
      default: "natural",
    },
    responseFormat: {
      label: "Response Format",
      description: "The format in which the generated images are returned.",
      type: "string",
      optional: true,
      options: [
        {
          label: "URL",
          value: "url",
        },
        {
          label: "Base64 JSON",
          value: "b64_json",
        },
      ],
      default: "url",
    },
    size: {
      label: "Size",
      description: "The size of the generated images.",
      type: "string",
      optional: true,
      options: [
        {
          label: "256x256",
          value: "256x256",
        },
        {
          label: "512x512",
          value: "512x512",
        },
        {
          label: "1024x1024",
          value: "1024x1024",
        },
        {
          label: "1792x1024",
          value: "1792x1024",
        },
        {
          label: "1024x1792",
          value: "1024x1792",
        },
      ],
      default: "1024x1024",
    },
  },
  async run({ $ }) {
    const response = await this.openai.createImage({
      $,
      args: {
        prompt: this.prompt,
        n: this.n,
        size: this.size,
        response_format: this.responseFormat,
        model: this.model,
        quality: this.quality,
        style: this.style,
      },
    });

    if (response.data.length) {
      $.export("$summary", `Successfully created ${response.data.length} images`);
    }

    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
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
ModelmodelstringSelect a value from the drop down menu:{ "label": "dall-e-2", "value": "dall-e-2" }{ "label": "dall-e-3", "value": "dall-e-3" }
Promptpromptstring

A text description of the desired image(s). The maximum length is 1000 characters.

Nninteger

The number of images to generate. Must be between 1 and 10.

QualityqualitystringSelect a value from the drop down menu:{ "label": "Standard", "value": "standard" }{ "label": "HD", "value": "hd" }
StylestylestringSelect a value from the drop down menu:{ "label": "Natural", "value": "natural" }{ "label": "Vivid", "value": "vivid" }
Response FormatresponseFormatstringSelect a value from the drop down menu:{ "label": "URL", "value": "url" }{ "label": "Base64 JSON", "value": "b64_json" }
SizesizestringSelect a value from the drop down menu:{ "label": "256x256", "value": "256x256" }{ "label": "512x512", "value": "512x512" }{ "label": "1024x1024", "value": "1024x1024" }{ "label": "1792x1024", "value": "1792x1024" }{ "label": "1024x1792", "value": "1024x1792" }

Action Authentication

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

About OpenAI (ChatGPT)

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

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