NSFW Image Recognition with api4ai API

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NSFW Image Recognition with the api4ai API

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Overview#

⭐️ NSFW Image Recognition – is a content moderation solution for NSFW (Not Safe For Work) sexual images identification.

Leveraging AI-powered technology this solution recognizes potentially offensive content in the image that may be inappropriate for public places or workspace viewing. It provides a confidence level to indicate how certain it is that the content is NSFW.

sfw

🤖 Demo

Explore the NSFW Image Recognition Web demo for free before delving into the details (no registration is required): https://api4.ai/apis/nsfw#demo-wrapper

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Getting Started#

Create a workflow to NSFW Image Recognition with the api4ai API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the NSFW Image Recognition action
1. Connect your api4ai account
2. Configure alert
3. Configure Image
4. Optional- Configure Strictness
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#

NSFW Image Recognition with api4ai API on New Requests (Payload Only) from HTTP / Webhook API

HTTP / Webhook + api4ai

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NSFW Image Recognition with api4ai API on New Submission from Typeform API

Typeform + api4ai

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NSFW Image Recognition with api4ai API on New Submission (Instant) from Jotform API

Jotform + api4ai

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NSFW Image Recognition with api4ai API on New Scheduled Tasks from Pipedream API

Pipedream + api4ai

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NSFW Image Recognition with api4ai API on npm Download Counts from npm API

npm + api4ai

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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.

NSFW Image Recognition on api4ai

Description:Content moderation solution for NSFW (Not Safe For Work) sexual images identification. Powered by API4AI.

Version:0.0.1

Key:api4ai-nsfw-image-recognition

View on GitHub

Code#

import app from "../../api4ai.app.mjs";
import { retryWithExponentialBackoff } from "../../common/utils.mjs";

export default {
  name: "NSFW Image Recognition",
  description:
    "Content moderation solution for NSFW (Not Safe For Work) sexual images identification. Powered by API4AI.",
  key: "api4ai-nsfw-image-recognition",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Subscribe to [API4AI NSFW](https://rapidapi.com/api4ai-api4ai-default/api/nsfw3/pricing) on the RapidAPI hub before you start using it.",
    },
    image: {
      propDefinition: [
        app,
        "image",
      ],
    },
    strictness: {
      type: "string",
      label: "Strictness",
      description:
        "Algorithm strictness. Use float values in range from 0.0 (less strict) to 1.0 (strict).",
      optional: true,
      default: "1.0",
    },
  },
  async run({ $ }) {
    // Initialize output.
    let summary = "";
    let nsfw = -1;

    // Perform request and parse results.
    const cb = () =>
      this.app.makeRequest(
        $,
        "https://nsfw3.p.rapidapi.com/v1/results",
        this.image,
        {
          strictness: this.strictness,
        },
      );
    const response = await retryWithExponentialBackoff(cb);
    const isOk = response?.results?.[0]?.status?.code === "ok";
    summary = response?.results?.[0]?.status?.message || JSON.stringify(response);
    if (isOk) {
      nsfw = response.results[0].entities[0].classes.nsfw;
    }
    else {
      throw new Error(summary);
    }

    $.export("$summary", summary);
    $.export("nsfw", nsfw);
  },
};

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
api4ai	`app`	`app`	This component uses the api4ai app.
Image	`image`	`string`	Input image. Various types are accepted: a path to a file a URL to a file a file's content encoded as a base64 string a file's content as a Buffer encoded in JSON a file's content as an Array of bytes
Strictness	`strictness`	`string`	Algorithm strictness. Use float values in range from 0.0 (less strict) to 1.0 (strict).

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