deploy_hf.sh

#!/bin/bash

# Hugging Face Spaces Deployment Script
# This script helps set up your FastAPI application for Hugging Face Spaces

echo "🚀 Setting up CSS Essay Grader API for Hugging Face Spaces..."

# Check if we're in the right directory
if [ ! -f "app.py" ]; then
    echo "❌ Error: app.py not found. Please run this script from the project root directory."
    exit 1
fi

# Create necessary files for Hugging Face Spaces
echo "📝 Creating Hugging Face Spaces configuration files..."

# Copy the HF-specific app file
if [ -f "app_hf.py" ]; then
    cp app_hf.py app.py
    echo "✅ Copied app_hf.py to app.py"
else
    echo "⚠️  Warning: app_hf.py not found. Using existing app.py"
fi

# Copy the HF-specific requirements file
if [ -f "requirements_hf.txt" ]; then
    cp requirements_hf.txt requirements.txt
    echo "✅ Copied requirements_hf.txt to requirements.txt"
else
    echo "⚠️  Warning: requirements_hf.txt not found. Using existing requirements.txt"
fi

# Copy the HF-specific Dockerfile
if [ -f "Dockerfile.hf" ]; then
    cp Dockerfile.hf Dockerfile
    echo "✅ Copied Dockerfile.hf to Dockerfile"
else
    echo "⚠️  Warning: Dockerfile.hf not found. Using existing Dockerfile"
fi

# Copy the HF-specific README
if [ -f "README_hf.md" ]; then
    cp README_hf.md README.md
    echo "✅ Copied README_hf.md to README.md"
else
    echo "⚠️  Warning: README_hf.md not found. Using existing README.md"
fi

# Create .dockerignore if it doesn't exist
if [ ! -f ".dockerignore" ]; then
    echo "📝 Creating .dockerignore file..."
    cat > .dockerignore << EOF
# Git
.git
.gitignore

# Python
__pycache__
*.pyc
*.pyo
*.pyd
.Python
env
pip-log.txt
pip-delete-this-directory.txt
.tox
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.log
.git
.mypy_cache
.pytest_cache
.hypothesis

# Virtual environments
venv/
ENV/
env/
.venv/

# IDE
.vscode/
.idea/
*.swp
*.swo
*~

# OS
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db

# Project specific
temp/
output/
*.pdf
*.png
*.jpg
*.jpeg
*.gif
*.bmp
*.tiff
*.docx
*.txt
*.log

# Development files
test_*.py
*_test.py
quick-fix.sh
optimize-deployment.py
deployment-guide.md
API_FORMAT_DOCUMENTATION.md
EOF
    echo "✅ Created .dockerignore file"
fi

# Create necessary directories
echo "📁 Creating necessary directories..."
mkdir -p temp output
echo "✅ Created temp and output directories"

# Check for required files
echo "🔍 Checking for required files..."
required_files=("app.py" "requirements.txt" "Dockerfile" "README.md" "OCR.py" "Feedback.py" "PDFFeedbackGenerator.py" "OCRAccuracyAnalyzer.py")

for file in "${required_files[@]}"; do
    if [ -f "$file" ]; then
        echo "✅ $file found"
    else
        echo "❌ $file missing"
    fi
done

# Check for environment variables
echo "🔧 Environment Variables Setup:"
echo "   Make sure to set the following environment variables in your Hugging Face Space:"
echo "   - OPENAI_API_KEY: Your OpenAI API key"
echo "   - GOOGLE_CLOUD_CREDENTIALS: Your Google Cloud Vision credentials (JSON)"

# Display next steps
echo ""
echo "🎉 Setup complete! Next steps:"
echo ""
echo "1. Create a new Hugging Face Space:"
echo "   - Go to https://huggingface.co/spaces"
echo "   - Click 'Create new Space'"
echo "   - Choose 'Docker' as SDK"
echo "   - Set Space name (e.g., 'css-essay-grader')"
echo ""
echo "2. Clone the Space repository:"
echo "   git clone https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME"
echo ""
echo "3. Copy your files to the Space repository:"
echo "   cp -r * /path/to/your/space/repo/"
echo ""
echo "4. Set environment variables in the Space settings:"
echo "   - OPENAI_API_KEY"
echo "   - GOOGLE_CLOUD_CREDENTIALS"
echo ""
echo "5. Commit and push:"
echo "   cd /path/to/your/space/repo/"
echo "   git add ."
echo "   git commit -m 'Initial deployment'"
echo "   git push"
echo ""
echo "6. Wait for deployment (usually 5-10 minutes)"
echo ""
echo "7. Access your API:"
echo "   https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space"
echo "   https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space/docs"
echo ""

echo "🚀 Your CSS Essay Grader API is ready for Hugging Face Spaces deployment!"