Remove NSFWJS

commands/analyze/nsfw-image.js

@@ -1,45 +0,0 @@
-const Command = require('../../framework/Command');
-const request = require('node-superfetch');
-const { stripIndents } = require('common-tags');
-const displayNames = {
-	Drawing: 'SFW (Drawing)',
-	Neutral: 'SFW',
-	Porn: 'NSFW',
-	Hentai: 'NSFW (Drawing)',
-	Sexy: 'Suggestive'
-};
-
-module.exports = class NsfwImageCommand extends Command {
-	constructor(client) {
-		super(client, {
-			name: 'nsfw-image',
-			aliases: ['nsfw', 'nsfw-img', 'img-nsfw', 'image-nsfw'],
-			group: 'analyze',
-			description: 'Determines if an image is NSFW.',
-			throttling: {
-				usages: 2,
-				duration: 30
-			},
-			args: [
-				{
-					key: 'image',
-					type: 'image-or-avatar',
-					avatarSize: 256
-				}
-			]
-		});
-	}
-
-	async run(msg, { image }) {
-		const { body } = await request.get(image);
-		const predictions = await this.client.tensorflow.isImageNSFW(body, false);
-		const formatted = predictions.map(result => {
-			const percentage = Math.round(result.probability * 100);
-			return `${percentage}% ${displayNames[result.className]}`;
-		});
-		return msg.reply(stripIndents`
-			**This image gives the following results:**
-			${formatted.join('\n')}
-		`);
-	}
-};

commands/analyze/screenshot.js

@@ -39,10 +39,6 @@ module.exports = class ScreenshotCommand extends Command {
 				if (nsfw) return msg.reply('This site is NSFW.');
 			}
 			const { body } = await request.get(`https://image.thum.io/get/width/1920/crop/675/noanimate/${url.href}`);
-			if (!msg.channel.nsfw) {
-				const aiDetect = await this.client.tensorflow.isImageNSFW(body);
-				if (aiDetect) return msg.reply('This site isn\'t NSFW, but the resulting image was.');
-			}
 			return msg.say({ files: [{ attachment: body, name: 'screenshot.png' }] });
 		} catch (err) {
 			if (err.status === 404) return msg.say('Could not find any results. Invalid URL?');

commands/search/wikipedia.js

@@ -46,12 +46,7 @@ module.exports = class WikipediaCommand extends Command {
 			});
 		const data = body.query.pages[0];
 		if (data.missing) return msg.say('Could not find any results.');
-		let thumbnail = data.thumbnail ? data.thumbnail.source : null;
-		if (!msg.channel.nsfw && thumbnail) {
-			const img = await request.get(thumbnail);
-			const nsfw = await this.client.tensorflow.isImageNSFW(img.body);
-			if (nsfw) thumbnail = null;
-		}
+		const thumbnail = data.thumbnail ? data.thumbnail.source : null;
 		let fact = data.extract;
 		if (fact.length > 200) {
 			const facts = fact.split('.');