Email Spam Detector - Static Deployment Guide

This guide will help you deploy the Email Spam Detector application as a static website using GitHub Pages.

Prerequisites

1. A GitHub account
2. Git installed on your computer

Deployment Steps

1. Create a new repository on GitHub

   • Go to github.com and sign in
   • Click the '+' icon and select 'New repository'
   • Name your repository (e.g., 'email-spam-detector')
   • Make it public
   • Initialize with a README

2. Prepare your local files

   • Create a new branch called gh-pages
   • Convert the Flask application to a static site:
     • Keep index.html from the templates folder
     • Export the ML models to JSON format
     • Implement the prediction logic in JavaScript

3. Push your code to GitHub

   git init
   git add .
   git commit -m "Initial commit"
   git branch -M main
   git remote add origin https://github.com/YOUR_USERNAME/email-spam-detector.git
   git push -u origin main

4. Enable GitHub Pages

   • Go to your repository settings
   • Navigate to 'Pages'
   • Select the gh-pages branch as the source
   • Save the changes

5. Access your deployed site

   • Your site will be available at: https://YOUR_USERNAME.github.io/email-spam-detector

Important Notes

• The static version will require converting the Python ML models to a format usable in the browser (e.g., TensorFlow.js)
• All processing will happen client-side
• Consider the size of the converted models for optimal loading performance

Alternative Deployment Options

1. Netlify

   • Sign up for a free account
   • Connect your GitHub repository
   • Deploy automatically from your main branch

2. Vercel

   • Similar to Netlify
   • Excellent for static site hosting
   • Automatic deployments from GitHub

3. Firebase Hosting

   • Free tier available
   • Good for static and dynamic content
   • Easy deployment process

Choose the platform that best suits your needs. All these options offer free tiers suitable for personal projects.