Update index.js

index.js

@@ -2,16 +2,6 @@ import express from "express";
 import os from "os";
 import morgan from "morgan";
 import bytes from "bytes";
-import axios from "axios";
-import { FormData, Blob } from "formdata-node";
-import { fileTypeFromBuffer } from "file-type";
-import { Client } from "@gradio/client";
-import { stablediff } from "./lib/diffusion.js";
-import { askOpenGPT4o } from "./lib/chatgpt.js";
-import { processImageUpscaler } from "./lib/enchance.js";
-import { toAnime } from "./lib/toanime.js";
-import { convertWebpToPng } from "./lib/converter.js";
-import { Uploader } from "./lib/uploader.js";
 
 import APIRouter from "./router/api.js";
 
@@ -26,8 +16,6 @@ app.use((req, res, next) => {
 
 app.use('/api', APIRouter);
 
-const apikey = "@SadTeam77";
-
 
 app.all('/', (req, res) => {
 	const status = {}
@@ -48,192 +36,6 @@ app.all('/', (req, res) => {
 	})
 })
 
-app.post('/api/img2img', async (req, res) => {
-	try {
-		console.log(req.body)
-		const { images, prompt, status } = req.body
-        if (!images) return res.json({ success: false, message: 'Required an images!' })
-        if (!prompt) return res.json({ succese: false, message: 'Require an Promot text Image!'})
-        if (!status) return res.json({ success: false, message: 'Required an status text!' })
-
-        if(status !== apikey) return res.json({ success: false, message: 'Invalid status!' })
-        if (/^(https?|http):\/\//i.test(images)) {
-          const data_img = await axios.request({
-            method: "GET",
-            url: images,
-            responseType: "arraybuffer"
-          })
-          const response = await processImage2Img(data_img.data, prompt)
-          //const type_img = await fileTypeFromBuffer(response)
-          //res.setHeader('Content-Type', type_img.mime)
-          res.json(response)
-        } else if (images && typeof images == 'string' && isBase64(images)) {
-	   	  const response = await processImage2Img(Buffer.from(images, "base64"), prompt)
-          //const type_img = await fileTypeFromBuffer(response)
-          //res.setHeader('Content-Type', type_img.mime)
-          res.json(response)
-        } else {
-          res.json({
-            success: false, message: 'No url or base64 detected!!' 
-          })
-        }
-	} catch (e) {
-		console.log(e)
-		e = String(e)
-		res.json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e })
-	}
-})
-
-app.post('/api/upscaler', async (req, res) => {
-	try {
-		console.log(req.body)
-		const { images, filenames, mimetype, status } = req.body
-        if (!images) return res.json({ success: false, message: 'Required an images!' })
-        if (!filenames) return res.json({ success: false, message: 'Required an filenames!' })
-        if (!mimetype) return res.json({ success: false, message: 'Required an mimetype!' })
-        if (!status) return res.json({ success: false, message: 'Required an status text!' })
-
-        if(status !== apikey) return res.json({ success: false, message: 'Invalid status!' })
-        if (/^(https?|http):\/\//i.test(images)) {
-          const data_img = await axios.request({
-            method: "GET",
-            url: images,
-            responseType: "arraybuffer"
-          })
-          const response = await processImageUpscaler({buffer: data_img.data, method: "enchance", filenames, mimetype})
-          //const type_img = await fileTypeFromBuffer(response)
-          //res.setHeader('Content-Type', type_img.mime)
-          res.json(response)
-        } else if (images && typeof images == 'string' && isBase64(images)) {
-	   	  const response = await processImageUpscaler({buffer: Buffer.from(images, "base64"), method: "enchance", filenames, mimetype})
-          //const type_img = await fileTypeFromBuffer(response)
-          //res.setHeader('Content-Type', type_img.mime)
-          res.json(response)
-        } else {
-          res.json({
-            success: false, message: 'No url or base64 detected!!' 
-          })
-        }
-	} catch (e) {
-		console.log(e)
-		e = String(e)
-		res.json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e })
-	}
-})
-
-app.post('/api/toanime', async (req, res) => {
-	try {
-		console.log(req.body)
-		const { images, filenames, mimetype, status } = req.body
-        if (!images) return res.json({ success: false, message: 'Required an images!' })
-        if (!status) return res.json({ success: false, message: 'Required an status text!' })
-
-        if(status !== apikey) return res.json({ success: false, message: 'Invalid status!' })
-        if (/^(https?|http):\/\//i.test(images)) {
-          const data_img = await axios.request({
-            method: "GET",
-            url: images,
-            responseType: "arraybuffer"
-          })
-          const response = await toAnime({ imgBuffer: data_img.data });
-          const converted = await convertWebpToPng(response)
-          //const type_img = await fileTypeFromBuffer(converting)
-          //res.setHeader('Content-Type', type_img.mime)
-          res.json({
-            status: true,
-            result: converteed
-          })
-        } else if (images && typeof images == 'string' && isBase64(images)) {
-	   	  const response = await await toAnime({ imgBuffer: Buffer.from(images, "base64") });
-          const converted = await convertWebpToPng(response);
-          //const type_img = await fileTypeFromBuffer(converting)
-          //res.setHeader('Content-Type', type_img.mime)
-          res.json({
-            status: true,
-            result: converted
-          })
-        } else {
-          res.json({
-            success: false, message: 'No url or base64 detected!!' 
-          })
-        }
-	} catch (e) {
-		console.log(e)
-		e = String(e)
-		res.json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e })
-	}
-});
-
-app.post('/api/openai/gpt4', async (req, res) => {
-	try {
-		console.log(req.body)
-		const { prompt, images, status } = req.body
-        if (!prompt) return res.json({ succese: false, message: 'Require an Promot text!'})
-        if (!status) return res.json({ success: false, message: 'Required an status text!' })
-
-        if(status !== apikey) return res.json({ success: false, message: 'Invalid status!' })
-        if(images) {
-          if (/^(https?|http):\/\//i.test(images)) {
-          const data_img = await axios.request({
-            method: "GET",
-            url: images,
-            responseType: "arraybuffer"
-          })
-          const response = await askOpenGPT4o(prompt, data_img.data)
-          //const type_img = await fileTypeFromBuffer(response)
-          //res.setHeader('Content-Type', type_img.mime)
-          res.json({
-            status: true,
-            result: response
-          })
-          } else if (images && typeof images == 'string' && isBase64(images)) {
-	   	    const response = await askOpenGPT4o(prompt, Buffer.from(images, "base64"))
-            //const type_img = await fileTypeFromBuffer(response)
-            //res.setHeader('Content-Type', type_img.mime)
-            res.json({
-              status: true,
-              result: response
-            })
-          } else {
-            res.json({
-              success: false, message: 'No url or base64 detected!!' 
-            })
-          }
-        } else if(!images) {
-          const response = await askOpenGPT4o(prompt)
-          res.json({
-          status: true,
-          result: response
-          });
-        }
-	} catch (e) {
-		console.log(e)
-		e = String(e)
-		res.json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e })
-	}
-})
-
-app.post('/api/stabeldiff', async (req, res) => {
-	try {
-		console.log(req.body)
-		const { prompt, status } = req.body
-        if (!prompt) return res.json({ succese: false, message: 'Require an Promot text!'})
-        if (!status) return res.json({ success: false, message: 'Required an status text!' })
-
-        if(status !== apikey) return res.json({ success: false, message: 'Invalid status!' })
-        const response = await stablediff(prompt);
-
-        res.json({
-          status: true,
-          result: response
-        });
-	} catch (e) {
-		console.log(e)
-		e = String(e)
-		res.json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e })
-	}
-})
-
 const PORT = process.env.PORT || 7860
 app.listen(PORT, () => {
   console.log('App running on port', PORT)
@@ -248,26 +50,4 @@ function isBase64(str) {
 	} catch {
 		return false
 	}
-}
-
-async function processImage2Img(imgBuffer, prompt) {
-  return new Promise(async (resolve, reject) => {
-    try {
-      const imageArray = Buffer.from(imgBuffer);
-
-      process.env.GRADIO_CLIENT_DEBUG = 'true';
-
-      const app = await Client.connect("Manjushri/SDXL-Turbo-Img2Img-CPU");
-      const result = await app.predict("/predict", [
-        imageArray, // binary input for the image
-        prompt, // string input for the prompt
-        1, // number input for the number of iterations
-        540388010706833800, // number input for the seed
-        0.3, // number input for the strength
-      ]);
-      resolve(result.data);
-    } catch (e) {
-      reject(e.message);
-    }
-  });
 }