SPACES_README.md

DR-Image-Magic on Hugging Face Spaces

This is a Gradio web interface for managing the Artistic Photo Transform project.

Deployment Instructions

Option 1: Deploy to Hugging Face Spaces

1. Go to Hugging Face Spaces
2. Create a new Space:
   • Select Gradio as the SDK
   • Choose your username/organization
   • Name it: DR-Image-Magic (or your preferred name)
3. In the Space settings:
   • Clone this repository or upload these files
   • The Space will automatically detect gradio_app.py and requirements.txt
4. Your Space will automatically start running!

Option 2: Run Locally

# Install dependencies
pip install -r requirements.txt

# Run the Gradio app
python gradio_app.py

Then open your browser to http://localhost:7860

Features

The Gradio interface provides:

📋 Project Info Tab

• View project details
• Tech stack information
• Setup instructions

⚙️ Setup Tab

• Install dependencies with one click
• Push database schema

🚀 Development Tab

• Start development server
• Run type checking
• Format code automatically
• Execute test suite

📦 Production Tab

• Build optimized production bundle
• Deployment guidance

Environment Variables

To use this on Hugging Face Spaces with actual functionality, you'll need to:

1. Set up environment variables in your Space settings:

   • NODE_ENV
   • Database credentials
   • AWS S3 credentials
   • API keys

2. Navigate to Space Settings → Variables and secrets

Requirements

• Python 3.8+
• Node.js 18+ (for running pnpm commands)
• pnpm package manager

Source Code

Full project source: https://github.com/DR-Studios/DR-Image-Magic

Note

This is a management interface for the DR-Image-Magic project. It assumes:

• The project files are cloned/deployed
• Node.js and pnpm are installed on the Spaces environment
• Environment variables are properly configured

For actual image transformation features, you'll need to:

1. Set up AWS S3 credentials
2. Configure AI model access (Claude, etc.)
3. Set up database connection
4. Configure authentication