← Textlocal + OpenAI (ChatGPT) integrations

Create Image 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 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.

  1. Select this integration
  2. Configure the New Contact trigger
    1. Connect your Textlocal account
    2. Configure timer
    3. Select a Contact Group
  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 contact
Version:0.0.3
Key:textlocal-new-contact

Textlocal Overview

You can do so much with the Textlocal API! Textlocal is an easy-to-use platform
for sending and receiving mobile and SMS messages, making it a great avenue for
businesses to communicate with their customers. Here are a few examples of what
you can build with the Textlocal API:

  • Automate SMS marketing campaigns to customers
  • Notify customers of special offers and discounts
  • Send reminders and appointment confirmations
  • Create location-based notifications
  • Receive two-way communication from customers
  • Integrate text alerts into other applications, like business workflows and
    CRMs
  • Send mass notifications during emergencies

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.
LabelPropTypeDescription
TextlocaltextlocalappThis component uses the Textlocal app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Contact GroupgroupIdstringSelect 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

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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