Language Translation with Hugging Face API

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Language Translation with the Hugging Face API

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Getting Started#

Create a workflow to Language Translation with the Hugging Face API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Language Translation action
1. Connect your Hugging Face account
2. Select a Model ID
3. Configure Text
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Language Translation with Hugging Face API on New Requests from HTTP / Webhook API

HTTP / Webhook + Hugging Face

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Language Translation with Hugging Face API on New Submission from Typeform API

Typeform + Hugging Face

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Language Translation with Hugging Face API on New Submission (Instant) from Jotform API

Jotform + Hugging Face

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Language Translation with Hugging Face API on New Custom Webhook Events from Stripe API

Stripe + Hugging Face

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Language Translation with Hugging Face API on New Scheduled Tasks from Pipedream API

Pipedream + Hugging Face

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is 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.

Language Translation on Hugging Face

Description:This task is well known to translate text from one language to another. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#translation).

Version:0.0.1

Key:hugging_face-language-translation

View on GitHub

Code#

import app from "../../hugging_face.app.mjs";
import tag from "../common/tag.mjs";

export default {
  key: "hugging_face-language-translation",
  name: "Language Translation",
  description: "This task is well known to translate text from one language to another. [See the docs](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#translation).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    modelId: {
      propDefinition: [
        app,
        "modelId",
        () => ({
          tagFilter: tag.TRANSLATION,
        }),
      ],
    },
    text: {
      type: "string",
      label: "Text",
      description: "The text to use for translation.",
    },
  },
  async run({ $: step }) {
    const {
      modelId,
      text,
    } = this;

    const response = await this.app.inference({
      step,
      modelId,
      data: {
        inputs: text,
      },
    });

    step.export("$summary", "Successfully translated text");

    return response;
  },
};

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
Hugging Face	`app`	`app`	This component uses the Hugging Face app.
Model ID	`modelId`	`string`	Select a value from the drop down menu.
Text	`text`	`string`	The text to use for translation.

Authentication#

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

To retrieve your Access Tokens,

Navigate to your Hugging Face account and sign in
Go to “Settings” > “Access Tokens”

About Hugging Face#

Build, train and deploy state of the art models powered by the reference open source in machine learning.

More Ways to Use Hugging Face#

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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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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Object Detection with the Hugging Face API

This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects. See the docs.

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Text Classification with the Hugging Face API

Usually used for sentiment-analysis this will output the likelihood of classes of an input. This action allows you to classify text into categories. See the docs.

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Text Summarization with the Hugging Face API

This task is well known to summarize longer text into shorter text. Be careful, some models have a maximum length of input. That means that the summary cannot handle full books for instance. Be careful when choosing your model. See the docs.

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