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# 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 |