Virtual Try-On App

A powerful AI-powered virtual try-on application built with Streamlit and Google's Gemini AI, featuring a stunning liquid glass design. Get realistic virtual try-on experiences with advanced AI analysis!

Features

• 🎨 Liquid Glass UI Design - Beautiful, modern glassmorphism interface
• 🤖 AI-Powered Virtual Try-On - Uses Google's latest Gemini models for intelligent analysis
• 👗 Smart Clothing Analysis - Advanced assessment of fit, style, and compatibility
• 🌈 Visual Composite Generation - Creates basic virtual try-on composites
• 📱 Responsive Design - Works on desktop, tablet, and mobile devices
• 🔒 Privacy Focused - Images are processed securely and not stored
• ✨ Real-time Processing - Fast and efficient virtual try-on generation
• 🎯 Smart Validation - Comprehensive image validation and error handling

What This App Does

This app provides AI-powered virtual try-on with both analysis and visual results:

✅ Virtual Try-On Analysis - Detailed AI assessment using Gemini 2.0 Flash
✅ Visual Composites - Basic image processing to show clothing on you
✅ Body Type Analysis - Understanding your proportions and best fits
✅ Clothing Assessment - Analysis of style, color, and fit compatibility
✅ Styling Recommendations - Expert advice on how to wear items
✅ Technical Implementation Guide - For developers wanting to improve the system
✅ Multiple Processing Options - Choose between basic analysis or advanced processing

Two Apps Included

1. app.py - Standard virtual try-on with AI analysis
2. virtual_tryon_advanced.py - Advanced version with visual composites and enhanced features

Installation

1. Clone or download this repository

2. Install dependencies:

   pip install -r requirements.txt

3. Set up your Gemini API key:

   • Get your API key from Google AI Studio
   • Open the .env file and replace your_gemini_api_key_here with your actual API key:

     GEMINI_API_KEY=your_actual_api_key_here
     

Usage

1. Start the basic application:

   streamlit run app.py

   Or start the advanced version:

   streamlit run virtual_tryon_advanced.py

2. Open your browser and navigate to the URL shown in the terminal (usually http://localhost:8501)

3. Upload your images:

   • Upload a clear photo of yourself
   • Upload a photo of the clothing item you want to try on

4. Generate your virtual try-on by clicking the "Create Virtual Try-On" button

For Actual Virtual Try-On

If you want to see actual virtual try-on images (not just styling advice), consider these specialized services:

• DressX - High-quality virtual try-on for fashion
• Zeekit (by Walmart) - Virtual fitting room technology
• Sephora Virtual Artist - For makeup and beauty products
• True Fit - Size and fit recommendations

Tips for Best Analysis

• 📷 Use well-lit, high-quality photos
• 🧍 Stand straight and face the camera in your photo
• 👕 Choose clothing images with clear visibility
• 🎯 Avoid busy backgrounds
• 📏 Ensure good image resolution (minimum 100x100px, maximum 4000x4000px)
• 💾 Keep image files under 10MB

File Structure

virtual-try-on-app/
├── app.py              # Main Streamlit application
├── requirements.txt    # Python dependencies
├── .env               # Environment variables (API key)
├── README.md          # This file
└── .gitignore         # Git ignore rules

Features & Validation

Image Validation

• ✅ File size validation (max 10MB)
• ✅ Image dimension validation (100x100 to 4000x4000 pixels)
• ✅ Format validation (PNG, JPG, JPEG)
• ✅ Image integrity checks

Error Handling

• ✅ API key validation
• ✅ Network error handling
• ✅ Invalid image format handling
• ✅ Processing timeout handling
• ✅ User-friendly error messages

UI/UX Features

• ✅ Liquid glass design with glassmorphism effects
• ✅ Responsive layout for all screen sizes
• ✅ Progressive loading with progress bars
• ✅ Hover effects and smooth animations
• ✅ Clear instructions and tips
• ✅ Privacy and security information

Technology Stack

• Frontend: Streamlit with custom CSS
• AI Backend: Google Gemini AI
• Image Processing: PIL (Python Imaging Library)
• Environment Management: python-dotenv
• Design: Custom glassmorphism CSS with gradient backgrounds

Privacy & Security

• Images are processed through Google's Gemini AI service
• No images are permanently stored by this application
• API communications are encrypted
• Follow Google's AI usage policies

Troubleshooting

Common Issues:

1. "API Key Required" error:

   • Make sure you've added your Gemini API key to the .env file
   • Verify the API key is valid and active

2. Image upload issues:

   • Check image file size (must be under 10MB)
   • Ensure image format is PNG, JPG, or JPEG
   • Verify image dimensions are within acceptable range

3. Processing takes too long:

   • Try using smaller image files
   • Check your internet connection
   • Restart the application if needed

Contributing

Feel free to contribute to this project by:

• Reporting bugs
• Suggesting new features
• Improving the UI/UX
• Optimizing performance

License

This project is for educational and personal use. Please respect Google's Gemini AI usage policies and terms of service.

Acknowledgments

• Google Gemini AI for the virtual try-on processing
• Streamlit for the amazing web framework
• The open-source community for inspiration and resources