DEPLOYMENT_CHECKLIST.md

🚀 Streamlit Cloud Deployment Checklist

✅ Pre-Deployment Checklist

1. Code Preparation

• requirements.txt updated with all dependencies
• streamlit_app.py created as main entry point
• .streamlit/config.toml configured
• .env file in .gitignore (security)
• All import paths working correctly

2. GitHub Repository

• Push all changes to GitHub
• Ensure repository is public (for free Streamlit Cloud)
• Verify no sensitive data in repository

3. Environment Variables (Set in Streamlit Cloud)

• 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

🚀 Deployment Steps

Step 1: Push to GitHub

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

Step 2: Deploy to Streamlit Cloud

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

Step 3: Configure Environment Variables

1. In Streamlit Cloud dashboard, go to your app
2. Click "Settings" → "Secrets"
3. Add your 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"
   

Step 4: Test Your Deployment

1. Wait for deployment to complete
2. Visit your app URL
3. Test all features:
   • Executive Dashboard loads
   • Advanced Analytics works
   • FRED API data loads
   • Visualizations generate
   • Downloads work

🔧 Troubleshooting

Common Issues

• Import errors: Check requirements.txt has all dependencies
• AWS errors: Verify environment variables are set correctly
• FRED API errors: Check your FRED API key
• Memory issues: Streamlit Cloud has memory limits

Performance Tips

• Use caching for expensive operations
• Optimize data loading
• Consider using demo data for initial testing

🎉 Success!

Your FRED ML 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 (with credentials)
• ✅ Local storage fallback
• ✅ Comprehensive download capabilities
• ✅ Free hosting with Streamlit Cloud