# 🔧 Installation Guide - Fixing Dependency Issues

## Problem
The error you encountered is due to `flash-attn` requiring the `packaging` module during compilation, and it's a notoriously difficult package to install on some systems.

## Solution

### Option 1: Use the Safe Installation Script (Recommended)

**For Windows:**
```powershell
# Run the safe installation script
.\install_dependencies.ps1
```

**For Linux/Mac:**
```bash
# Run the safe installation script  
python install_dependencies.py
```

### Option 2: Manual Installation Steps

1. **Upgrade pip and build tools:**
```bash
pip install --upgrade pip setuptools wheel packaging
```

2. **Install PyTorch first:**
```bash
# For CUDA support
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124

# Or CPU-only version
pip install torch torchvision torchaudio
```

3. **Install main requirements (flash-attn excluded):**
```bash
pip install -r requirements.txt
```

4. **Optional: Install performance packages manually:**
```bash
# xformers (usually works)
pip install xformers

# flash-attn (may fail - it's optional)
pip install flash-attn --no-build-isolation
```

### Option 3: Skip Problematic Dependencies

The app will work perfectly fine without `flash-attn` and `xformers`. These are performance optimizations, not requirements.

## What Changed

✅ **Fixed requirements.txt:**
- Added essential build dependencies (`setuptools`, `wheel`, `packaging`)
- Commented out problematic packages (`flash-attn`, `xformers`)
- Made numpy version compatible
- Added proper PyTorch installation notes

✅ **Created safe installation scripts:**
- `install_dependencies.py` - Cross-platform Python script
- `install_dependencies.ps1` - Windows PowerShell script
- Both handle errors gracefully and skip optional packages

## Verification

After installation, verify everything works:

```bash
python -c "import torch, transformers, gradio, fastapi; print('✅ Core dependencies installed!')"
```

## Next Steps

Once dependencies are installed:

1. **Download OmniAvatar models:**
```bash
python setup_omniavatar.py
```

2. **Start the application:**
```bash
python app.py
```

## Troubleshooting

**If you still get errors:**

1. **Use a virtual environment:**
```bash
python -m venv omniavatar_env
source omniavatar_env/bin/activate  # Linux/Mac
# or
omniavatar_env\Scripts\activate     # Windows
```

2. **Try without optional packages:**
The app will work fine with just the core dependencies. Performance optimizations like `flash-attn` are nice-to-have, not essential.

3. **Check Python version:**
Ensure you're using Python 3.8 or later:
```bash
python --version
```

The dependency issues have been resolved and the OmniAvatar integration will work with or without the optional performance packages! 🚀