quick_start.sh

#!/bin/bash
# Quick start script for TRNTR
# Runs initial setup and verification

set -e

echo "======================================================================"
echo "TRNTR Quick Start"
echo "======================================================================"
echo ""

# Check Python version
python_version=$(python --version 2>&1 | awk '{print $2}')
echo "Python version: $python_version"

required_version="3.9"
if [[ $(printf '%s\n' "$required_version" "$python_version" | sort -V | head -n1) != "$required_version" ]]; then
    echo "ERROR: Python 3.9+ required"
    exit 1
fi

echo "✓ Python version OK"
echo ""

# Install package
echo "Installing TRNTR package..."
pip install -e ".[dev]" -q
echo "✓ Package installed"
echo ""

# Verify installation
echo "Verifying installation..."
python scripts/verify_install.py

# Create directories
echo ""
echo "Creating directories..."
mkdir -p data checkpoints logs outputs
echo "✓ Directories created"

# Summary
echo ""
echo "======================================================================"
echo "Quick start complete!"
echo "======================================================================"
echo ""
echo "Next steps:"
echo ""
echo "1. Download dataset (optional, will use dummy data if skipped):"
echo "   python scripts/download_c4_200m.py"
echo ""
echo "2. Start training:"
echo "   python train.py"
echo ""
echo "3. Monitor training:"
echo "   - View logs: tail -f logs/train.log"
echo "   - WandB: https://wandb.ai"
echo ""
echo "4. Evaluate model:"
echo "   python scripts/evaluate.py --checkpoint checkpoints/best_model.pt"
echo ""
echo "5. Try demo notebook:"
echo "   jupyter notebook notebooks/demo.ipynb"
echo ""
echo "For detailed instructions, see:"
echo "   - README.md"
echo "   - TRAINING_GUIDE.md"
echo ""
echo "======================================================================"