Bhargab Nath Bucephalus-lgtm

Obtain Predictions for Your Replicate API

Within pages/api folder of your root directory for your Next.js app, create a folder called replicate.

Now this looks like: pages/api/replicate, right?

Here, write a file called index.js and then insert the following code:

const getPredictions = async (req, res) => {
  const response = await fetch("https://api.replicate.com/v1/predictions", {
 method: "POST",

import requests

headers = {
  'Authorization': 'Bearer <__jwt__>',
  'Content-Type': 'application/json',
  'Accept': 'application/json',
  'User-Agent': 'demoApp/1.0',
  'X-Snowflake-Authorization-Token-Type': '<__keyPair_JWT__>',
}

Dockerize the app using the Alpine Version 16 of Node.js

Dockerfile

# Use an existing image, node:16-alpine in this case as the base image
FROM node:16-alpine

# Set the working directory in the container
WORKDIR /app

# Copy the package.json and package-lock.json files into the container

The basic flow is this:

First build the Docker image and then run it in Portainer.

Steps:

Build the Docker image:

 docker build -t <__your_image_name__>

Launch Portainer:

docker run -d -p 9000:9000 --name=portainer --restart=always -v /var/run/docker.sock:/var/run/docker.sock portainer/portainer

	const express = require('express');
	const bodyParser = require('body-parser');
	const nodemailer = require('nodemailer');
	const app = express();
	const path = require('path');
	const dotenv = require('dotenv');
	dotenv.config();


	app.use(express.static('public'));

	// To use the AWS SDK, first import it from aws-sdk npm package
	import AWS from 'aws-sdk';

	const s3Bucket = `__your_aws_s3_bucket_name__`;
	const region = `__your_aws_region_name__`;
	const urlExpirationTime = `__your_aws_s3_url_expiration_time__`

	AWS.config.update({
	accessKeyId: `__your_aws_access_key_id__`,
	secretAccessKey: `__your_aws_secret_access_key__`,

	// Create a file, say, User.js(basically this file keeps all the configurations and setup for initializing User table in the database)
	// Sequelize is an ORM, right?
	// So, you don't need to learn SQL to use MySQL, that's what we will do below:

	// Import Sequelize from sequelize npm package
	const {Sequelize, DataTypes} = require("sequelize");
	const sequelize = new Sequelize(
	'__your_db_name__',
	'__your_db_password__',
	{

	// Import bcrypt from bcrypt npm package
	const bcrypt = require("bcrypt);

	// Hash the incoming password using bcyrpt
	// Use it during SIGNUP, thus save the hashed password only in Database
	async function hashPassword(plaintextPassword) {
	const hashedPassword = await bcrypt.hash(plaintextPassword, 10);
	// Now store it in the database instead of plainText password
	}

	<!DOCTYPE html>
	<html lang="en">

	<head>
	<title>Google reCaptcha Example</title>
	<meta charset="utf-8″>
	<meta name="viewport" content="width=device-width, initial-scale=1″>
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
	<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>

	<?php
	error_reporting(0);
	if (isset($_POST[‘submit’]) && !empty($_POST[‘submit’])) {
	if (isset($_POST[‘g-recaptcha-response’]) && !empty($_POST[‘g-recaptcha-response’])) {

	$secret = ‘__your_secret_key__’;
	$captchaResponse = file_get_contents(‘https://www.google.com/recaptcha/api/siteverify?secret=’ . $secret . ‘&response=’ . $_POST[‘g-recaptcha-response’]);
	$responseData = json_decode($captchaResponse );
	if ($responseData->success) {
	$name = !empty($_POST[‘name’]) ? $_POST[‘name’] : ”;