Integrate the Google Gemini API with the MySQL API

Setup the Google Gemini API trigger to run a workflow which integrates with the MySQL API. Pipedream's integration platform allows you to integrate Google Gemini and MySQL remarkably fast. Free for developers.

Popular Ways to Connect Google Gemini with MySQL#

Generate Content from Text and Image with Google Gemini API on New Column from MySQL API

MySQL + Google Gemini

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Generate Content from Text and Image with Google Gemini API on New or Updated Row from MySQL API

MySQL + Google Gemini

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Generate Content from Text and Image with Google Gemini API on New Row (Custom Query) from MySQL API

MySQL + Google Gemini

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Generate Content from Text and Image with Google Gemini API on New Row from MySQL API

MySQL + Google Gemini

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Generate Content from Text and Image with Google Gemini API on New Table from MySQL API

MySQL + Google Gemini

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Popular Google Gemini and MySQL Triggers#

New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

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Popular Google Gemini and MySQL Actions#

Generate Content from Text with the Google Gemini API

Generates content from text input using the Google Gemini API. See the documentation

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Create Row with the MySQL API

Adds a new row. See the docs here

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Generate Content from Text and Image with the Google Gemini API

Generates content from both text and image input using the Gemini API. See the documentation

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Delete Row with the MySQL API

Delete an existing row. See the docs here

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Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

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Overview of Google Gemini#

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.

Connect Google Gemini#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_gemini: {
      type: "app",
      app: "google_gemini",
    }
  },
  async run({steps, $}) {
    const data = `{{your_promptt}}`;
      //E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
    return await axios($, {
      method: "POST",
      url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
      headers: {
        "Content-Type": "application/json",        
      },      
      params: {
        key: `${this.google_gemini.$auth.api_key}`,
      },
      data
    })
  },
})

Overview of MySQL#

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL#

import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    return await this.mysql.executeQuery(queryObj);
  },
});