Generate Content from Text and Image with Google Gemini API on Meeting Created (Instant) from Zoom API

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Meeting Created (Instant) from the Zoom API

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Generate Content from Text and Image with the Google Gemini API

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Getting Started#

This integration creates a workflow with a Zoom trigger and Google Gemini action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the Meeting Created (Instant) trigger
1. Connect your Zoom account
2. Configure apphook
Configure the Generate Content from Text and Image action
1. Connect your Google Gemini account
2. Select a Model
3. Configure Prompt Text
4. Select a MIME Type
5. Configure Image File Paths
6. Optional- Configure JSON Output
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#

Meeting Created (Instant) on Zoom

Description:Emit new event each time a meeting is created where you're the host

Version:0.1.3

Key:zoom-meeting-created

View on GitHub

Zoom Overview#

The Zoom API lets you tap into a rich set of functionalities to enhance the video conferencing experience within your own app or workflow. With the Zoom API on Pipedream, you can automatically create meetings, manage users, send meeting notifications, and more, orchestrating these actions within a broader automation. This allows for seamless integration with other services, enabling both data collection and action triggers based on Zoom events.

Pipedream workflows allow you to run any Node.js code that connects to the Zoom API. Just create a new workflow, then add prebuilt Zoom actions (create a meeting, send a chat message, etc.) or write your own code. These workflows can be triggered by HTTP requests, timers, email, or on any app-based event (new tweets, a Github PR, Zoom events, etc).

Trigger Code#

import common from "../common/common.mjs";
import constants from "../common/constants.mjs";

export default {
  ...common,
  key: "zoom-meeting-created",
  name: "Meeting Created (Instant)",
  description: "Emit new event each time a meeting is created where you're the host",
  version: "0.1.3",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    apphook: {
      type: "$.interface.apphook",
      appProp: "app",
      eventNames() {
        return [
          constants.CUSTOM_EVENT_TYPES.MEETING_CREATED_BY_ME,
          constants.CUSTOM_EVENT_TYPES.MEETING_CREATED_FOR_ME,
        ];
      },
    },
  },
  hooks: {
    async deploy() {
      const { meetings } = await this.app.listMeetings({
        params: {
          page_size: 25,
        },
      });
      if (!meetings || meetings.length === 0) {
        return;
      }
      const objects = this.sortByDate(meetings, "created_at");
      for (const object of objects) {
        this.emitEvent({
          object,
        }, object);
      }
    },
  },
  methods: {
    ...common.methods,
    emitEvent(payload, object) {
      const meta = this.generateMeta(object);
      this.$emit({
        event: "meeting.created",
        payload,
      }, meta);
    },
    generateMeta(object) {
      return {
        id: object.uuid,
        summary: `Meeting ${object.topic} created`,
        ts: +new Date(object.start_time),
      };
    },
  },
};

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
Zoom	`app`	`app`	This component uses the Zoom app.
	`apphook`	`$.interface.apphook`

Trigger Authentication#

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

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

About Zoom#

Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars.

Action#

Generate Content from Text and Image on Google Gemini

Description:Generates content from both text and image input using the Gemini API. [See the documentation](https://ai.google.dev/tutorials/rest_quickstart#text-and-image_input)

Version:0.1.1

Key:google_gemini-generate-content-from-text-and-image

View on GitHub

Google Gemini Overview#

The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.

Action Code#

import fs from "fs";
import { ConfigurationError } from "@pipedream/platform";
import common from "../common/generate-content.mjs";
import utils from "../../common/utils.mjs";

export default {
  ...common,
  key: "google_gemini-generate-content-from-text-and-image",
  name: "Generate Content from Text and Image",
  description: "Generates content from both text and image input using the Gemini API. [See the documentation](https://ai.google.dev/tutorials/rest_quickstart#text-and-image_input)",
  version: "0.1.1",
  type: "action",
  props: {
    ...common.props,
    text: {
      propDefinition: [
        common.props.app,
        "text",
      ],
    },
    mimeType: {
      propDefinition: [
        common.props.app,
        "mimeType",
      ],
    },
    imagePaths: {
      propDefinition: [
        common.props.app,
        "imagePaths",
      ],
    },
    responseFormat: {
      propDefinition: [
        common.props.app,
        "responseFormat",
      ],
    },
  },
  methods: {
    fileToGenerativePart(path, mimeType) {
      if (!path) {
        return;
      }
      return {
        inline_data: {
          mime_type: mimeType,
          data: Buffer.from(fs.readFileSync(path)).toString("base64"),
        },
      };
    },
  },
  async run({ $ }) {
    const {
      app,
      model,
      text,
      imagePaths,
      mimeType,
      responseFormat,
      responseSchema,
      maxOutputTokens,
      temperature,
      topP,
      topK,
      stopSequences,
    } = this;

    if (!Array.isArray(imagePaths)) {
      throw new ConfigurationError("Image paths must be an array.");
    }

    if (!imagePaths.length) {
      throw new ConfigurationError("At least one image path must be provided.");
    }

    const response = await app.generateContent({
      $,
      model,
      data: {
        contents: [
          {
            parts: [
              {
                text,
              },
              ...imagePaths.map((path) => this.fileToGenerativePart(path, mimeType)),
            ],
          },
        ],
        ...(
          responseFormat || maxOutputTokens || temperature || topP || topK || stopSequences?.length
            ? {
              generationConfig: {
                responseMimeType: "application/json",
                responseSchema: utils.parse(responseSchema),
                maxOutputTokens,
                temperature,
                topP,
                topK,
                stopSequences,
              },
            }
            : {}
        ),
      },
    });

    $.export("$summary", "Successfully generated content from text and image.");

    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
Google Gemini	`app`	`app`	This component uses the Google Gemini app.
Model	`model`	`string`	Select a value from the drop down menu.
Prompt Text	`text`	`string`	The text to use as the prompt for content generation
MIME Type	`mimeType`	`string`	Select a value from the drop down menu:`{ "label": "PNG", "value": "image/png" }{ "label": "JPEG", "value": "image/jpeg" }`
Image File Paths	`imagePaths`	`string[]`	The local file paths of the images to use in the content generation. The path to the image file saved to the `/tmp` directory (e.g. `/tmp/example.pdf`). See the documentation.
JSON Output	`responseFormat`	`boolean`	Enable to receive responses in structured JSON format instead of plain text. Useful for automated processing, data extraction, or when you need to parse the response programmatically. You can optionally define a specific schema for the response structure.

Generate Content from Text and Image with Google Gemini API on Meeting Created (Instant) from Zoom API

Pipedream makes it easy to connect APIs for Google Gemini, Zoom 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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