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import axios from "axios";
export const config = {
"name": "upscaler",
"url": "/api/upscaler",
"description": "Get response from Upscaler AI Model. Upscaler AI can restore the image to its original state.",
"query": "url",
"response": "text",
"testURL": "./api/upscaler?url=https%3A%2F%2Fscontent.fdac27-2.fna.fbcdn.net%2Fv%2Ft39.30808-1%2F386334419_843740254146283_32129838220110611_n.jpg%3Fstp%3Dc0.29.100.100a_dst-jpg_p100x100%26_nc_cat%3D105%26ccb%3D1-7%26_nc_sid%3D5f2048%26_nc_eui2%3DAeGirXPT1E56jzWOq3tJatv5HsWuBCzqiQIexa4ELOqJAuncqimdF8tQfaP-IQsyWKB1k2KRJgwsjLnqlMdyG0gS%26_nc_ohc%3Dic3HON0M4RoAb5e2J7a%26_nc_ad%3Dz-m%26_nc_cid%3D0%26_nc_ht%3Dscontent.fdac27-2.fna%26oh%3D00_AfDQQEelZWQ1AL6mhd32t45Lk5ioYN43ZjAj__UW5d_wuQ%26oe%3D661D418E"
}
export default async function handler(req, res) {
const url = req.query.url;
const axios = require("axios");
const postData = async () => {
try {
const response = await axios.post(
"https://replicate-reverse-engineered.vercel.app/post",
{dataToPost:{
input: {
jpeg: 40,
image: url,
noise: 15,
task_type: "Real-World Image Super-Resolution-Large",
},
stream: false,
}, replicateURL: "https://replicate.com/api/models/jingyunliang/swinir/versions/660d922d33153019e8c263a3bba265de882e7f4f70396546b6c9c8f9d47a021a/predictions"}
);
console.log(response.data);
let nurl = 'https://replicate.com/api/predictions/' + response.data.id;
nurl = 'https://replicate-reverse-engineered.vercel.app/get?url='+nurl
let isProcessing = true;
while (isProcessing) {
const { data } = await axios.get(nurl);
//console.log(data);
if (data.status === "succeeded") {
console.log(data._extras.output_files[0]);
isProcessing = false;
return data._extras.output_files[0];
}
}
} catch (error) {
console.error("Error:", error);
}
};
postData().then((data) => {
res.status(200).json({url: data});
});
} |