← AWS + OpenAI (ChatGPT) integrations

Create Image (Dall-E) with OpenAI (ChatGPT) API on New S3 File from AWS API

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Trigger workflow on
New S3 File from the AWS 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 AWS 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 S3 File trigger
    1. Connect your AWS account
    2. Select a AWS Region
    3. Select a S3 Bucket Name
  3. Configure the Create Image (Dall-E) 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 file is added to an S3 bucket
Version:0.1.2
Key:aws-s3-new-file

AWS Overview

You can use the AWS API to build a variety of applications and services. Here
are some examples:

  • A mobile application that allows users to access data stored in the cloud
  • A web application that allows users to upload and download files
  • A web service that allows developers to access Amazon's vast product catalog
  • A desktop application that allows users to access their Amazon account
    information

Trigger Code

import base from "../common/s3.mjs";

export default {
  ...base,
  type: "source",
  key: "aws-s3-new-file",
  name: "New S3 File",
  description: "Emit new event when a file is added to an S3 bucket",
  version: "0.1.2",
  dedupe: "unique",
  methods: {
    ...base.methods,
    getEvents() {
      return [
        "s3:ObjectCreated:*",
      ];
    },
    generateMeta(data) {
      const { "x-amz-request-id": id } = data.responseElements;
      const { key } = data.s3.object;
      const { eventTime: isoTimestamp } = data;
      return {
        id,
        summary: `New file: '${key}'`,
        ts: Date.parse(isoTimestamp),
      };
    },
  },
};

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
AWSawsappThis component uses the AWS app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.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.
AWS RegionregionstringSelect a value from the drop down menu.
S3 Bucket NamebucketstringSelect a value from the drop down menu.

Trigger Authentication

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Action

Description:Creates an image given a prompt returning a URL to the image. [See docs here](https://platform.openai.com/docs/api-reference/images)
Version:0.1.13
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 (Dall-E)",
  version: "0.1.13",
  key: "openai-create-image",
  description: "Creates an image given a prompt returning 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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