Create Image (Dall-E) with OpenAI (ChatGPT) API on New Lead Created from Leadfeeder API

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New Lead Created from the Leadfeeder API

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Create Image (Dall-E) with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Leadfeeder trigger and OpenAI (ChatGPT) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Lead Created trigger
1. Connect your Leadfeeder account
2. Configure Polling schedule
3. Select a Account ID
Configure the Create Image (Dall-E) action
1. Connect your OpenAI (ChatGPT) account
2. Select a Model
3. Configure Prompt
4. Optional- Select a Response Format
5. Optional- Select a Size
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#

New Lead Created on Leadfeeder

Description:Emit new event when a new lead is created. [See the docs](https://docs.leadfeeder.com/api/#get-leads)

Version:0.0.1

Key:leadfeeder-new-lead-created

View on GitHub

Leadfeeder Overview#

Leadfeeder is a tool that reveals the companies visiting your website and how they interact with your content. By harnessing the power of the Leadfeeder API on Pipedream, you can automate the process of capturing lead data and integrating it directly into your sales and marketing workflows. This can range from enriching CRM records to triggering custom email campaigns based on visitor behavior, enabling a more dynamic and responsive engagement with potential customers.

Trigger Code#

import common from "../common/polling.mjs";
import utils from "../../common/utils.mjs";

export default {
  ...common,
  key: "leadfeeder-new-lead-created",
  name: "New Lead Created",
  description: "Emit new event when a new lead is created. [See the docs](https://docs.leadfeeder.com/api/#get-leads)",
  type: "source",
  version: "0.0.1",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourceFn() {
      return this.app.getLeads;
    },
    getResourceFnArgs() {
      const lastVisitDateStr = this.getLastVisitDate();
      const currentDateStr = utils.getFormatDate();
      const daysAgoStr = utils.getFormatDate(30);
      return {
        accountId: this.accountId,
        params: {
          start_date: lastVisitDateStr || daysAgoStr,
          end_date: currentDateStr,
        },
      };
    },
    generateMeta(resource) {
      return {
        id: resource.id,
        ts: Date.parse(resource.attributes.first_visit_date) || Date.now(),
        summary: `New Lead Created ${resource.id}`,
      };
    },
  },
};

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
Leadfeeder	`app`	`app`	This component uses the Leadfeeder app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling schedule	`timer`	`$.interface.timer`	How often to poll the Leadfeeder API
Account ID	`accountId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Leadfeeder API expects an API token to be included in all requests sent to the server.

You can generate your unique authentication token at Leadfeeder API settings.

About Leadfeeder#

Leadfeeder is the #1-rated app for Google Analytics and it's the best way to generate free sales leads.

Action#

Create Image (Dall-E) on OpenAI (ChatGPT)

Description:Creates an image given a prompt returning a URL to the image. [See the documentation](https://platform.openai.com/docs/api-reference/images)

Version:0.1.18

Key:openai-create-image

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code#

import openai from "../../openai.app.mjs";
import constants from "../../common/constants.mjs";
import fs from "fs";

export default {
  name: "Create Image (Dall-E)",
  version: "0.1.18",
  key: "openai-create-image",
  description: "Creates an image given a prompt returning a URL to the image. [See the documentation](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: constants.IMAGE_MODELS,
      reloadProps: true,
    },
    prompt: {
      label: "Prompt",
      description: "A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2 and 4000 characters for dall-e-3.",
      type: "string",
    },
    responseFormat: {
      label: "Response Format",
      description: "The format in which the generated images are returned.",
      type: "string",
      optional: true,
      options: constants.IMAGE_RESPONSE_FORMATS,
      default: "url",
      reloadProps: true,
    },
    size: {
      label: "Size",
      description: "The size of the generated images.",
      type: "string",
      optional: true,
      options: constants.IMAGE_SIZES,
      default: "1024x1024",
    },
  },
  async additionalProps() {
    const props = {};
    if (!this.model && !this.responseFormat) {
      return props;
    }
    if (this.responseFormat === "tmp") {
      props.filename = {
        type: "string",
        label: "Filename",
        description: "Filename of the new file in `/tmp` directory. Make sure to include the extension.",
      };
    }
    if (this.model && this.model !== "dall-e-3") {
      props.n = {
        type: "integer",
        label: "N",
        description: "The number of images to generate. Must be between 1 and 10.",
        optional: true,
        default: 1,
      };
    } else {
      props.quality = {
        type: "string",
        label: "Quality",
        description: "The quality of the image",
        options: constants.IMAGE_QUALITIES,
        optional: true,
        default: "standard",
      };
      props.style = {
        type: "string",
        label: "Style",
        description: "The style of the image",
        options: constants.IMAGE_STYLES,
        optional: true,
        default: "natural",
      };
    }
    return props;
  },
  async run({ $ }) {
    const response = await this.openai.createImage({
      $,
      data: {
        prompt: this.prompt,
        n: this.n,
        size: this.size,
        response_format: this.responseFormat === "url"
          ? this.responseFormat
          : "b64_json",
        model: this.model,
        quality: this.quality,
        style: this.style,
      },
    });

    if (this.responseFormat === "tmp") {
      const n = this.n || 1;
      const fileData = [];
      for (let i = 0; i < n; i++) {
        // if N > 0, name subsequent files "filename_1.ext", "filename_2.ext", etc.
        const filename = i === 0
          ? this.filename
          : this.filename.replace(/(\.[^/.]+)$/, `_${i}$1`);
        const outputFilePath = filename.includes("tmp/")
          ? filename
          : `/tmp/${filename}`;
        await fs.writeFileSync(outputFilePath, Buffer.from(response.data[0].b64_json.toString(), "base64"));
        fileData.push({
          tmp: [
            filename,
            outputFilePath,
          ],
        });
      }
      response.data = fileData;
    }

    if (response.data.length) {
      $.export("$summary", `Successfully created ${response.data.length} image${response.data.length === 1
        ? ""
        : "s"}`);
    }

    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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`model`	`string`	Select a value from the drop down menu:`dall-e-2dall-e-3`
Prompt	`prompt`	`string`	A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2 and 4000 characters for dall-e-3.
Response Format	`responseFormat`	`string`	Select a value from the drop down menu:`{ "label": "URL", "value": "url" }{ "label": "Write file to /tmp directory", "value": "tmp" }{ "label": "Base64 JSON", "value": "b64_json" }`
Size	`size`	`string`	Select a value from the drop down menu:`256x256512x5121024x10241792x10241024x1792`

Create Image (Dall-E) with OpenAI (ChatGPT) API on New Lead Created from Leadfeeder API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Leadfeeder and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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