Create Image (Dall-E) with OpenAI (ChatGPT) API on New Video from Wistia API

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New Video from the Wistia 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 Wistia 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 Video trigger
1. Connect your Wistia account
2. Configure timer
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 Video on Wistia

Description:Emit new event for each created video.

Version:0.0.3

Key:wistia-new-video

View on GitHub

Wistia Overview#

The Wistia API lets you dive deep into video analytics, manage your media library, and automate video workflows. It's great for developers aiming to extend the functionality of their Wistia-hosted content. When used within Pipedream, you can integrate Wistia with countless other apps and services to create robust automations. You could, for instance, update a CRM with video view data, send custom email alerts based on viewer behavior, or even synchronize video uploads with a content management system.

Trigger Code#

import wistia from "../../wistia.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  name: "New Video",
  version: "0.0.3",
  key: "wistia-new-video",
  description: "Emit new event for each created video.",
  type: "source",
  dedupe: "unique",
  props: {
    wistia,
    timer: {
      type: "$.interface.timer",
      static: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    emitEvent(data) {
      this.$emit(data, {
        id: data.id,
        summary: `New video uploaded with id ${data.id}`,
        ts: Date.parse(data.created),
      });
    },
  },
  hooks: {
    async deploy() {
      const medias = await this.wistia.getMedias({
        params: {
          type: "Video",
          per_page: 10,
        },
      });

      medias.forEach(this.emitEvent);
    },
  },
  async run() {
    let page = 0;

    while (page >= 0) {
      const medias = await this.wistia.getMedias({
        params: {
          type: "Video",
          page,
          per_page: 100,
        },
      });

      medias.forEach(this.emitEvent);

      if (medias.length < 100) {
        return;
      }

      page++;
    }
  },
};

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
Wistia	`wistia`	`app`	This component uses the Wistia app.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

When your Wistia account is created, a master token will automatically be generated for you account, which you can find in the API tab of your Account Settings in your Wistia account. This master token has full read/write permissions on your account. You can generate additional access tokens with various permissions as well.

About Wistia#

Software that makes it easy to find, engage, and grow your audience with video.

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 Video from Wistia API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Wistia and 2,200+ other apps remarkably fast.

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

Developers ♥ Pipedream

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