DEPLOYMENT_FIX.md

# 🚀 Deployment Fix - Resolving Build Issues

🔧 Fixed Issues

1. Requirements.txt Problems

• ✅ Removed problematic packages (flash-attn, xformers)
• ✅ Added missing dependencies (pyyaml, requests)
• ✅ Pinned versions for stability
• ✅ Focused on core functionality only

2. Docker Build Optimization

• ✅ Updated Dockerfile with better error handling
• ✅ Added build-essential for compilation
• ✅ Increased timeout for slow builds
• ✅ Added health check
• ✅ Created .dockerignore to reduce build context

3. Dependency Management

• ✅ CPU-only PyTorch for reliable deployment
• ✅ Stable numpy/scipy versions
• ✅ Removed optional heavy packages
• ✅ Maintained core TTS and API functionality

📦 Current Build Status

The repository should now build successfully with:

Core Features Available:

✅ FastAPI endpoints for avatar generation
✅ Gradio web interface
✅ Advanced TTS system with multiple fallbacks
✅ Audio generation and processing
✅ Image URL support
✅ Voice profile selection

OmniAvatar Video Features:

⏳ Requires model download (~30GB)
⏳ Available after running python setup_omniavatar.py

🔨 Build Commands

Local Build:

# Install dependencies
pip install -r requirements.txt

# Run locally
python app.py

Docker Build:

# Build image
docker build -t omniavatar-app .

# Run container
docker run -p 7860:7860 omniavatar-app

HuggingFace Spaces:

The repository should now build automatically when pushed to HF Spaces.

📊 What Changed

requirements.txt:

• Removed: flash-attn, xformers, omegaconf, datasets, protobuf
• Added: pyyaml, requests (missing dependencies)
• Pinned: numpy<1.25.0, scipy<1.12.0 for stability
• CPU-only PyTorch for reliable deployment

Dockerfile:

• Added build-essential for compilation needs
• Increased timeout for slow package installs
• Better directory structure creation
• Added health check endpoint
• More robust error handling

.dockerignore:

• Excluded large files (pretrained_models/, *.md files)
• Reduced build context size significantly
• Faster builds and smaller images

🎯 Deployment Strategy

Phase 1: TTS-Only Mode (Current)

• ✅ Builds reliably
• ✅ Full TTS functionality
• ✅ Web interface working
• ✅ API endpoints functional

Phase 2: Full OmniAvatar (After Model Download)

• Download models manually or via script
• Enable video generation capabilities
• Full avatar animation features

💡 Troubleshooting

If builds still fail:

1. Check logs for specific error messages
2. Verify Python version (should be 3.10+)
3. Clear build cache if using Docker
4. Check network connectivity for package downloads

The build should now succeed on most platforms including HuggingFace Spaces! 🎉