Create Image (Dall-E) with OpenAI (ChatGPT) API on New Contact from Textlocal API

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New Contact from the Textlocal 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 Textlocal 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 Contact trigger
1. Connect your Textlocal account
2. Configure timer
3. Select a Contact Group
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 Contact on Textlocal

Description:Emit new contact

Version:0.0.3

Key:textlocal-new-contact

View on GitHub

Textlocal Overview#

The Textlocal API on Pipedream allows for robust SMS messaging capabilities within workflows. You can send notifications, alerts, and updates directly to mobile users, automate marketing campaigns, or integrate SMS into multi-channel communication strategies. By leveraging Pipedream's serverless platform, you can create complex workflows involving Textlocal for various application domains without managing infrastructure, boosting productivity and engagement through the power of automated text messaging.

Trigger Code#

import common from "../common/timer-based.mjs";

export default {
  ...common,
  key: "textlocal-new-contact",
  name: "New Contact",
  description: "Emit new contact",
  type: "source",
  version: "0.0.3",
  dedupe: "unique",
  props: {
    ...common.props,
    groupId: {
      type: "string",
      label: "Contact Group",
      description: "The contact group to monitor for new contacts",
      async options(context) {
        const { page } = context;
        if (page !== 0) {
          return [];
        }

        const { groups } = await this.textlocal.getGroups();
        const options = groups.map((group) => ({
          label: group.name,
          value: group.id,
        }));
        return {
          options,
        };
      },
    },
  },
  hooks: {
    ...common.hooks,
    deactivate() {
      this.db.set("isInitialized", false);
    },
  },
  methods: {
    ...common.methods,
    _isContactProcessed(contact) {
      const { number } = contact;
      return Boolean(this.db.get(number));
    },
    _markContactAsProcessed(contact) {
      const { number } = contact;
      this.db.set(number, true);
    },
    async takeContactGroupSnapshot() {
      const contactScan = await this.textlocal.scanContactGroup({
        groupId: this.groupId,
      });

      for await (const contact of contactScan) {
        this._markContactAsProcessed(contact);
      }
    },
    generateMeta({
      contact,
      ts,
    }) {
      const {
        number,
        first_name: firstName,
        last_name: lastName,
      } = contact;
      const maskedName = this.getMaskedName({
        firstName,
        lastName,
      });
      const maskedNumber = this.getMaskedNumber(number);
      const summary = `New contact: ${maskedName} (${maskedNumber})`;
      return {
        id: number,
        summary,
        ts,
      };
    },
    async processEvent(event) {
      const isInitialized = this.db.get("isInitialized");
      if (!isInitialized) {
        await this.takeContactGroupSnapshot();
        this.db.set("isInitialized", true);
        return;
      }

      const { timestamp: ts } = event;
      const contactScan = await this.textlocal.scanContactGroup({
        groupId: this.groupId,
      });

      for await (const contact of contactScan) {
        if (this._isContactProcessed(contact)) {
          continue;
        }

        const meta = this.generateMeta({
          contact,
          ts,
        });
        this.$emit(contact, meta);
        this._markContactAsProcessed(contact);
      }
    },
  },
};

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
Textlocal	`textlocal`	`app`	This component uses the Textlocal app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Contact Group	`groupId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Get your api key in your settings > API keys

About Textlocal#

Bulk SMS Marketing Service for Business | Send ...

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:0.1.22

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: "0.1.22",
  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`

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.

More Ways to Connect OpenAI (ChatGPT) + Textlocal#

Other Popular Integrations#

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Create Image (Dall-E) with OpenAI (ChatGPT) API on New Contact from Textlocal API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Textlocal and 2,500+ other apps remarkably fast.

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

Developers ♥ Pipedream

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