Integrate the Hugging Face API with the MySQL API

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

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Popular Ways to Connect Hugging Face with MySQL#

Document Question Answering with Hugging Face API on New Column from MySQL API

MySQL + Hugging Face

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Document Question Answering with Hugging Face API on New or Updated Row from MySQL API

MySQL + Hugging Face

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Document Question Answering with Hugging Face API on New Row (Custom Query) from MySQL API

MySQL + Hugging Face

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Document Question Answering with Hugging Face API on New Row from MySQL API

MySQL + Hugging Face

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Document Question Answering with Hugging Face API on New Table from MySQL API

MySQL + Hugging Face

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Popular Hugging Face 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 Hugging Face and MySQL Actions#

Document Question Answering with the Hugging Face API

Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs.

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Execute SQL Query with the MySQL API

Execute a custom MySQL query. See our docs to learn more about working with SQL in Pipedream.

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Image Classification with the Hugging Face API

This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs.

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Create Row with the MySQL API

Adds a new row. See the docs here

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Language Translation with the Hugging Face API

This task is well known to translate text from one language to another. See the docs.

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Overview of Hugging Face#

The Hugging Face API provides access to a vast range of machine learning models, primarily for natural language processing (NLP) tasks like text classification, translation, summarization, and question answering. It lets you leverage pre-trained models and fine-tune them on your data. Using the API within Pipedream, you can automate workflows that involve language processing, integrate AI insights into your apps, or respond to events with AI-generated content.

Connect Hugging Face#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hugging_face: {
      type: "app",
      app: "hugging_face",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://huggingface.co/api/whoami-v2`,
      headers: {
        Authorization: `Bearer ${this.hugging_face.$auth.access_token}`,
      },
    })
  },
})

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);
  },
});

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