# 🔧 AI Dataset Studio - Complete Troubleshooting Guide

## 🚨 **Immediate Fix for Current Error**

### **Error: "DatasetStudio is not defined"**
```
NameError: name 'DatasetStudio' is not defined
```

✅ **SOLUTION:** Replace your current `app.py` with the **complete fixed version** I provided above.

**Quick Fix Steps:**
1. **Replace app.py** - Use the complete version from the artifacts above
2. **Add missing files** - Download all the files I've provided
3. **Restart your Space** - The error will be resolved

---

## 📁 **Files You Need (Complete Checklist)**

| File | Status | Purpose |
|------|--------|---------|
| ✅ `app.py` | **Replace yours** | Main application (complete version) |
| ❌ `app_minimal.py` | **Missing** | Fallback version (basic deps only) |
| ✅ `requirements.txt` | **Have it** | Dependencies |
| ✅ `README.md` | **Have it** | Documentation |
| ✅ `config.py` | **Have it** | Configuration |
| ❌ `utils.py` | **Incomplete** | Utility functions |
| ❌ `startup.py` | **Missing** | Smart launcher |
| ❌ `TROUBLESHOOTING.md` | **Missing** | This guide |

---

## 🚀 **Quick Deployment Options**

### **Option 1: Immediate Fix (Recommended)**
```bash
# Use the complete app.py I provided above
# This fixes the DatasetStudio error immediately
```

### **Option 2: Minimal Version (Guaranteed to Work)**
```bash
# Use app_minimal.py as your main app.py
# This version works with basic dependencies only
```

### **Option 3: Smart Startup (Auto-Detect)**
```bash
# Use startup.py as your main app.py
# Automatically chooses the best version to run
```

---

## 🔍 **Common Issues & Solutions**

### **Issue 1: Missing Dependencies**
```
ModuleNotFoundError: No module named 'transformers'
ModuleNotFoundError: No module named 'bs4'
```

✅ **SOLUTIONS:**

#### **A. Minimal Installation (Fastest)**
```bash
pip install gradio pandas requests beautifulsoup4
# Use app_minimal.py
```

#### **B. Full Installation**
```bash
pip install gradio pandas requests beautifulsoup4 transformers torch nltk datasets
# Use app.py (full version)
```

#### **C. Update requirements.txt**
```txt
gradio>=4.44.0
pandas>=2.0.0
requests>=2.31.0
beautifulsoup4>=4.12.0
```

---

### **Issue 2: Slow Loading**
```
Application taking too long to start
Models downloading...
```

✅ **SOLUTIONS:**
- **Use CPU Basic hardware initially** (loads faster)
- **Try minimal version first** (no AI model downloads)
- **Upgrade to T4 Small** for faster AI model loading

---

### **Issue 3: Memory Issues**
```
CUDA out of memory
Application crashed
```

✅ **SOLUTIONS:**
- **Start with CPU Basic** (free, lower memory)
- **Use minimal version** (smaller memory footprint)
- **Upgrade gradually** (CPU → T4 → A10G as needed)

---

### **Issue 4: Import Errors**
```
Failed to import DatasetStudio
Module not found errors
```

✅ **SOLUTIONS:**
- **Replace app.py** with the complete version above
- **Add all missing files** from the artifacts
- **Clear browser cache** and refresh

---

## 🏥 **Emergency Fixes**

### **Nuclear Option: Start Completely Fresh**

1. **Create new Space**
2. **Use minimal files only:**
   ```
   - app_minimal.py (rename to app.py)
   - requirements.txt (basic only)
   - README.md
   ```
3. **Set hardware to CPU Basic**
4. **Test basic functionality first**
5. **Gradually add features**

### **Quick Test Commands**
```bash
# Test basic imports
python -c "import gradio, pandas, requests; print('✅ Basic imports work')"

# Test BeautifulSoup
python -c "from bs4 import BeautifulSoup; print('✅ BeautifulSoup works')"

# Test full app (if using complete version)
python -c "from app import DatasetStudio; print('✅ DatasetStudio works')"
```

---

## 📊 **Version Comparison**

| Feature | Minimal | Full | Smart |
|---------|---------|------|-------|
| **Dependencies** | 4 packages | 8+ packages | Auto-detect |
| **Startup Time** | 30 seconds | 2-5 minutes | Variable |
| **Web Scraping** | ✅ Basic | ✅ Advanced | ✅ Auto |
| **AI Features** | ❌ None | ✅ All | ✅ If available |
| **Export Formats** | JSON, CSV | All formats | Auto |
| **Memory Usage** | ~100MB | ~2GB | Variable |
| **Reliability** | 🟢 High | 🟡 Medium | 🟢 High |

---

## 🎯 **Deployment Strategy**

### **Step 1: Start Simple**
```yaml
Files: app_minimal.py → app.py, requirements.txt (minimal)
Hardware: CPU Basic
Goal: Verify basic functionality
```

### **Step 2: Add Features**
```yaml
Files: Add complete app.py, config.py, utils.py
Hardware: CPU Upgrade
Goal: Test advanced features
```

### **Step 3: Full Power**
```yaml
Files: All files
Hardware: T4 Small or higher
Goal: Production deployment
```

---

## 🔄 **Troubleshooting Workflow**

```
1. 🚨 ERROR OCCURS
   ↓
2. 🔍 CHECK THIS GUIDE
   ↓
3. 🛠️ APPLY QUICK FIX
   ↓
4. 🧪 TEST SOLUTION
   ↓
5. ✅ SUCCESS OR ⬆️ ESCALATE
```

### **Escalation Path:**
1. **Try minimal version** → `app_minimal.py`
2. **Check dependencies** → Install missing packages
3. **Review logs** → Look for specific errors
4. **Contact support** → Provide error details

---

## 💡 **Pro Tips**

### **Development Best Practices**
- ✅ **Start minimal, add complexity gradually**
- ✅ **Test locally before deploying**
- ✅ **Use version control for file management**
- ✅ **Monitor Space logs for errors**

### **Performance Optimization**
- ✅ **CPU Basic for development/testing**
- ✅ **T4 Small for production**
- ✅ **Enable persistent storage for large datasets**
- ✅ **Use minimal version when possible**

### **Reliability Tips**
- ✅ **Always have a fallback version ready**
- ✅ **Test with sample URLs before large batches**
- ✅ **Monitor Space analytics for usage patterns**
- ✅ **Keep dependencies up to date**

---

## 🆘 **Getting Help**

### **Information to Include When Asking for Help:**
```
1. Exact error message
2. Files you're using (app.py vs app_minimal.py)
3. Hardware type (CPU Basic, T4 Small, etc.)
4. Dependencies installed
5. Space logs (if available)
```

### **Quick Health Check Script:**
```python
import sys
print(f"Python: {sys.version}")

try:
    import gradio
    print(f"✅ Gradio: {gradio.__version__}")
except ImportError:
    print("❌ Gradio not available")

try:
    from bs4 import BeautifulSoup
    print("✅ BeautifulSoup available")
except ImportError:
    print("❌ BeautifulSoup not available")

try:
    from app import DatasetStudio
    print("✅ DatasetStudio available")
except ImportError as e:
    print(f"❌ DatasetStudio error: {e}")
```

---

## 🎉 **Success Indicators**

You'll know everything is working when you see:

```
🚀 Starting AI Dataset Studio...
📊 Features: ✅ AI Models | ✅ Advanced NLP | ✅ HuggingFace Integration
✅ DatasetStudio initialized successfully
✅ Interface created successfully
Running on local URL: http://0.0.0.0:7860
```

**If you see this, you're ready to create amazing datasets!** 🎯

---

## 📞 **Support Channels**

- 📖 **Documentation**: README.md in your Space
- 💬 **Community**: HuggingFace Discussions
- 🐛 **Bug Reports**: Include logs and error details
- 📧 **Direct Help**: Describe your setup and error

**Remember: Every issue has a solution - start with the minimal version and build up!** 💪