DEPLOYMENT.md

FRED ML - Streamlit Cloud Deployment Guide

Overview

This guide explains how to deploy the FRED ML Economic Analytics Platform to Streamlit Cloud for free.

Prerequisites

1. GitHub account
2. Streamlit Cloud account (free at https://share.streamlit.io/)

Deployment Steps

1. Push to GitHub

git add .
git commit -m "Prepare for Streamlit Cloud deployment"
git push origin main

2. Deploy to Streamlit Cloud

1. Go to https://share.streamlit.io/
2. Sign in with GitHub
3. Click "New app"
4. Select your repository: your-username/FRED_ML
5. Set the main file path: streamlit_app.py
6. Click "Deploy"

3. Configure Environment Variables

In Streamlit Cloud dashboard:

1. Go to your app settings
2. Add these environment variables:
   • FRED_API_KEY: Your FRED API key
   • AWS_ACCESS_KEY_ID: Your AWS access key
   • AWS_SECRET_ACCESS_KEY: Your AWS secret key
   • AWS_REGION: us-east-1

4. Access Your App

Your app will be available at: https://your-app-name-your-username.streamlit.app

Features Available in Deployment

• ✅ Real FRED API data integration
• ✅ Advanced analytics and forecasting
• ✅ Professional enterprise-grade UI
• ✅ AWS S3 integration (if credentials provided)
• ✅ Local storage fallback
• ✅ Comprehensive download capabilities

Troubleshooting

• If you see import errors, check that all dependencies are in requirements.txt
• If AWS features don't work, verify your AWS credentials in environment variables
• If FRED API doesn't work, check your FRED API key

Security Notes

• Never commit .env files to GitHub
• Use Streamlit Cloud's environment variables for sensitive data
• AWS credentials are automatically secured by Streamlit Cloud