# 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](https://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: ```toml 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](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