STREAMLIT_CLOUD_TROUBLESHOOTING.md

Streamlit Cloud Troubleshooting Guide

🚨 Problem: Streamlit Cloud Shows Old Version

Quick Fix Steps:

1. Force Redeploy (Most Common Solution)

1. Go to share.streamlit.io
2. Find your FREDML app
3. Click "Settings" → "Advanced"
4. Click "Force redeploy"

2. Check Configuration

In Streamlit Cloud settings, verify:

• Main file path: frontend/app.py
• Git branch: main
• Repository: ParallelLLC/FREDML

3. Check Environment Variables

In Streamlit Cloud → Settings → Secrets:

FRED_API_KEY = "your-actual-fred-api-key"

4. Check Deployment Logs

1. In Streamlit Cloud, go to your app
2. Click "View logs" to see any deployment errors

Common Issues & Solutions:

Issue 1: Caching Problems

Symptoms: App shows old version despite new commits Solution: Force redeploy in Streamlit Cloud dashboard

Issue 2: Wrong File Path

Symptoms: App doesn't load or shows errors Solution: Verify main file path is frontend/app.py

Issue 3: Missing Environment Variables

Symptoms: App loads but shows demo data Solution: Add FRED_API_KEY to Streamlit Cloud secrets

Issue 4: Branch Issues

Symptoms: App shows old code Solution: Verify Git branch is set to main

Verification Steps:

1. Check GitHub Repository

• Go to https://github.com/ParallelLLC/FREDML
• Verify latest commit shows "Add version 2.0.1 indicator"
• Check that frontend/app.py contains the version banner

2. Check Streamlit Cloud Configuration

• Main file path: frontend/app.py
• Git branch: main
• Repository: ParallelLLC/FREDML

3. Check for Version Banner

The app should display:

FRED ML v2.0.1 - Latest Updates Applied ✅

Last Resort Solutions:

Option 1: Delete and Recreate

1. Delete current Streamlit Cloud app
2. Create new deployment from ParallelLLC/FREDML
3. Set main file path to frontend/app.py

Option 2: Check for Large Files

• Large files (>10MB) can cause deployment issues
• Check if any data files are accidentally included

Option 3: Contact Streamlit Support

• If all else fails, contact Streamlit Cloud support
• Provide deployment logs and repository URL

Prevention Tips:

1. Always force redeploy after major changes
2. Check deployment logs regularly
3. Use version indicators to verify updates
4. Test locally first before pushing to GitHub

Current Status:

• ✅ Code pushed to GitHub with version 2.0.1
• ✅ All fixes applied (string/int comparison, debug removal, S3 fixes)
• ✅ Version banner added for easy verification
• ⏳ Waiting for Streamlit Cloud to pick up changes

Next Steps:

1. Go to Streamlit Cloud and force redeploy
2. Check for the version banner: "FRED ML v2.0.1"
3. If banner doesn't appear, check deployment logs
4. Verify all configuration settings