Text Classification with Hugging Face API on New Message (Instant) from Discord API

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New Message (Instant) from the Discord API

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Text Classification with the Hugging Face API

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Getting Started#

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

Select this integration
Configure the New Message (Instant) trigger
1. Connect your Discord account
2. Configure Channels
3. Configure discordApphook
Configure the Text Classification action
1. Connect your Hugging Face account
2. Select a Model ID
3. Configure Text
4. Optional- Configure Additional Fields
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 Message (Instant) on Discord

Description:Emit new event for each message posted to one or more channels in a Discord server

Version:1.0.3

Key:discord-new-message

View on GitHub

Discord Overview#

The Discord API interacts seamlessly with Pipedream, empowering you to craft customized automations and workflows for your Discord server. With this powerful integration, you can automate tasks like message posting, user management, and notifications, based on a myriad of triggers and actions from different apps. These automations can enhance the Discord experience for community moderators and members, by synchronizing with external tools, organizing community engagement, and streamlining notifications.

Trigger Code#

import discord from "../../discord.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  type: "source",
  key: "discord-new-message",
  name: "New Message (Instant)",
  description: "Emit new event for each message posted to one or more channels in a Discord server",
  version: "1.0.3",

  dedupe: "unique",
  props: {
    discord,
    channels: {
      type: "$.discord.channel[]",
      appProp: "discord",
      label: "Channels",
      description: "Select the channel(s) you'd like to be notified for",
    },
    // eslint-disable-next-line pipedream/props-label,pipedream/props-description
    discordApphook: {
      type: "$.interface.apphook",
      appProp: "discord",
      async eventNames() {
        return this.channels || [];
      },
    },
  },
  async run(event) {
    if (event.guildID != this.discord.$auth.guild_id) {
      return;
    }
    this.$emit(event, {
      id: event.id,
    });
  },
  sampleEmit,
};

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
Discord	`discord`	`app`	This component uses the Discord app.
Channels	`channels`	`$.discord.channel[]`	Select the channel(s) you'd like to be notified for
	`discordApphook`	`$.interface.apphook`

Trigger Authentication#

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

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

botemailidentifyguilds

About Discord#

Use this app to create a Discord source that emits messages from your guild to a Pipedream workflow.

Action#

Text Classification on Hugging Face

Description: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](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#textclassification).

Version:0.0.1

Key:hugging_face-text-classification

View on GitHub

Hugging Face Overview#

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.

Action Code#

import { ConfigurationError } from "@pipedream/platform";
import app from "../../hugging_face.app.mjs";
import utils from "../../common/utils.mjs";
import tag from "../common/tag.mjs";

export default {
  key: "hugging_face-text-classification",
  name: "Text Classification",
  description: "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](https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#textclassification).",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    modelId: {
      propDefinition: [
        app,
        "modelId",
        () => ({
          tagFilter: tag.TEXT_CLASSIFICATION,
        }),
      ],
    },
    text: {
      type: "string",
      label: "Text",
      description: "The text to use for classification.",
    },
    additionalFields: {
      type: "object",
      label: "Additional Fields",
      description: "Additional fields to include in the request in case the model requires them. E.g you can set `parameters` as a key and `{\"candidate_labels\":[\"love\",\"like\"]}` as a value. Or Just something like `my_field` as a key and `my_value` as a value.",
      optional: true,
    },
  },
  async run({ $: step }) {
    const {
      modelId,
      text,
      additionalFields,
    } = this;

    if (additionalFields && typeof(additionalFields) !== "object" && additionalFields !== null) {
      throw new ConfigurationError("Additional Fields property must be an object.");
    }

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

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

    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
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 classification.
Additional Fields	`additionalFields`	`object`	Additional fields to include in the request in case the model requires them. E.g you can set `parameters` as a key and `{"candidate_labels":["love","like"]}` as a value. Or Just something like `my_field` as a key and `my_value` as a value.

Action 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 Connect Hugging Face + Discord#

Other Popular Integrations#

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Text Classification with Hugging Face API on New Message (Instant) from Discord API

Pipedream makes it easy to connect APIs for Hugging Face, Discord 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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