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

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New File from the Dropbox 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 Dropbox 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 File trigger
1. Connect your Dropbox account
2. Select a Path
3. Configure Recursive
4. Configure dropboxApphook
5. Configure Include Media Info
6. Configure Include Link
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 File on Dropbox

Description:Emit new event when a new file is added to your account or a specific folder. Make sure the number of files/folders in the watched folder does not exceed 4000.

Version:0.0.18

Key:dropbox-new-file

View on GitHub

Dropbox Overview#

The Dropbox API on Pipedream enables you to automate file and folder operations, streamlining workflows that involve storing, syncing, and sharing content. With this API, you can programmatically manage files, set up event-driven triggers based on changes within Dropbox, and leverage Pipedream's capabilities to connect with hundreds of other apps for extended automation scenarios. It's ideal for building custom file management solutions, archiving systems, or collaborative content workflows without writing extensive code.

Trigger Code#

import common from "../common/common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  dedupe: "unique",
  type: "source",
  key: "dropbox-new-file",
  name: "New File",
  version: "0.0.18",
  description: "Emit new event when a new file is added to your account or a specific folder. Make sure the number of files/folders in the watched folder does not exceed 4000.",
  props: {
    ...common.props,
    includeMediaInfo: {
      label: "Include Media Info",
      type: "boolean",
      description: "Emit media info for photos and videos (incurs an additional API call)",
      default: false,
    },
    includeLink: {
      label: "Include Link",
      type: "boolean",
      description: "Emit temporary download link to file (incurs an additional API call)",
      default: false,
    },
  },
  hooks: {
    async activate() {
      await this.getHistoricalEvents([
        "file",
      ]);
      const startTime = new Date();
      const state = await this.dropbox.initState(this);
      this._setLastFileModTime(startTime);
      this._setDropboxState(state);
    },
  },
  methods: {
    ...common.methods,
    _setLastFileModTime(time) {
      this.db.set("last_file_mod_time", time);
    },
    _getLastFileModTime() {
      return this.db.get("last_file_mod_time");
    },
  },
  async run() {
    const lastFileModTime = this._getLastFileModTime();
    const state = this._getDropboxState();
    let currFileModTime = "";
    const {
      ret: updates, state: newState,
    } = await this.dropbox.getUpdates(this, state);
    this._setDropboxState(newState);
    for (let update of updates) {
      let file = {
        ...update,
      };
      if (update[".tag"] !== "file") {
        continue;
      }
      if (update.server_modified > currFileModTime) {
        currFileModTime = update.server_modified;
      }
      const isNewFile = await this.isNewFile(update, lastFileModTime);
      if (!isNewFile) {
        continue;
      }
      if (this.includeMediaInfo) {
        file = await this.getMediaInfo(update);
      }
      if (this.includeLink) {
        file.link = await this.getTemporaryLink(update);
      }
      this.$emit(file, this.getMeta(file.id, file.path_display || file.id));
    }
    if (currFileModTime != "") {
      this._setLastFileModTime(currFileModTime);
    }
  },
  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.

Label	Prop	Type	Description
Dropbox	`dropbox`	`app`	This component uses the Dropbox app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Path	`path`	`string`	Select a value from the drop down menu.
Recursive	`recursive`	`boolean`	Also watch sub-directories and their contents.
	`dropboxApphook`	`$.interface.apphook`
Include Media Info	`includeMediaInfo`	`boolean`	Emit media info for photos and videos (incurs an additional API call)
Include Link	`includeLink`	`boolean`	Emit temporary download link to file (incurs an additional API call)

Trigger Authentication#

Dropbox uses OAuth authentication. When you connect your Dropbox account, Pipedream will open a popup window where you can sign into Dropbox and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Dropbox API.

Pipedream requests the following authorization scopes when you connect your account:

About Dropbox#

Dropbox gives you secure access to all your files. Collaborate with friends, family, and coworkers from any device.

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`

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) + Dropbox#

Other Popular Integrations#

Create Image with OpenAI (ChatGPT) API on New or Modified File or Folder from Dropbox API

Dropbox + OpenAI (ChatGPT)

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

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Dropbox 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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