app.py

import streamlit as st
import google.generativeai as genai
from dotenv import load_dotenv
import os
from PIL import Image
import io
import base64
import time

# Load environment variables
load_dotenv()

# Configure page
st.set_page_config(
    page_title="Virtual Try-On App",
    page_icon="👗",
    layout="wide",
    initial_sidebar_state="collapsed"
)

# Load custom CSS for liquid glass design
def load_css():
    st.markdown("""
    <style>
    /* Import Google Fonts */
    @import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
    
    /* Global Styles */
    .stApp {
        background: linear-gradient(135deg, 
            rgba(74, 144, 226, 0.1) 0%, 
            rgba(255, 107, 107, 0.1) 35%, 
            rgba(142, 68, 173, 0.1) 100%);
        font-family: 'Inter', sans-serif;
    }
    
    /* Liquid Glass Card Effect */
    .glass-card {
        background: rgba(255, 255, 255, 0.1);
        backdrop-filter: blur(20px);
        -webkit-backdrop-filter: blur(20px);
        border-radius: 20px;
        border: 1px solid rgba(255, 255, 255, 0.2);
        box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.37);
        padding: 2rem;
        margin: 1rem 0;
        transition: all 0.3s ease;
    }
    
    .glass-card:hover {
        transform: translateY(-5px);
        box-shadow: 0 15px 40px 0 rgba(31, 38, 135, 0.5);
    }
    
    /* Header Styles */
    .main-header {
        text-align: center;
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
        -webkit-background-clip: text;
        -webkit-text-fill-color: transparent;
        background-clip: text;
        font-size: 3rem;
        font-weight: 700;
        margin: 2rem 0;
        text-shadow: 0 0 30px rgba(102, 126, 234, 0.5);
    }
    
    .sub-header {
        text-align: center;
        color: rgba(255, 255, 255, 0.8);
        font-size: 1.2rem;
        font-weight: 300;
        margin-bottom: 3rem;
    }
    
    /* Upload Area Styles */
    .upload-area {
        background: rgba(255, 255, 255, 0.05);
        backdrop-filter: blur(10px);
        border-radius: 15px;
        border: 2px dashed rgba(255, 255, 255, 0.3);
        padding: 2rem;
        text-align: center;
        transition: all 0.3s ease;
        margin: 1rem 0;
    }
    
    .upload-area:hover {
        border-color: rgba(102, 126, 234, 0.6);
        background: rgba(102, 126, 234, 0.1);
    }
    
    /* Button Styles */
    .stButton > button {
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
        color: white;
        border: none;
        border-radius: 50px;
        padding: 0.8rem 2rem;
        font-weight: 600;
        font-size: 1rem;
        transition: all 0.3s ease;
        box-shadow: 0 4px 15px 0 rgba(102, 126, 234, 0.4);
    }
    
    .stButton > button:hover {
        transform: translateY(-2px);
        box-shadow: 0 8px 25px 0 rgba(102, 126, 234, 0.6);
    }
    
    /* Progress Bar */
    .stProgress > div > div > div > div {
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
    }
    
    /* Result Image Container */
    .result-container {
        background: rgba(255, 255, 255, 0.08);
        backdrop-filter: blur(15px);
        border-radius: 20px;
        padding: 2rem;
        border: 1px solid rgba(255, 255, 255, 0.1);
        box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.37);
    }
    
    /* Hide Streamlit Components */
    #MainMenu {visibility: hidden;}
    footer {visibility: hidden;}
    header {visibility: hidden;}
    
    /* Sidebar styling */
    .css-1d391kg {
        background: rgba(255, 255, 255, 0.05);
        backdrop-filter: blur(20px);
    }
    
    /* File uploader styling */
    .css-1cpxqw2 {
        background: rgba(255, 255, 255, 0.05);
        border-radius: 10px;
        border: 1px solid rgba(255, 255, 255, 0.1);
    }
    
    /* Spinning animation for loading */
    @keyframes spin {
        0% { transform: rotate(0deg); }
        100% { transform: rotate(360deg); }
    }
    
    .loading-spinner {
        border: 4px solid rgba(255, 255, 255, 0.1);
        border-left: 4px solid #667eea;
        border-radius: 50%;
        width: 40px;
        height: 40px;
        animation: spin 1s linear infinite;
        margin: 20px auto;
    }
    </style>
    """, unsafe_allow_html=True)

def initialize_gemini():
    """Initialize Gemini AI with API key"""
    api_key = os.getenv("GEMINI_API_KEY")
    if not api_key or api_key == "your_gemini_api_key_here":
        return None
    
    try:
        genai.configure(api_key=api_key)
        # Try the latest model first, fall back if not available
        try:
            return genai.GenerativeModel('gemini-2.0-flash-preview-image-generation')
        except:
            try:
                return genai.GenerativeModel('gemini-2.0-flash-preview-image-generation')
            except:
                return genai.GenerativeModel('gemini-2.0-flash-preview-image-generation')
    except Exception as e:
        st.error(f"Error initializing Gemini AI: {str(e)}")
        return None

def create_virtual_tryon(person_image, clothing_image, model):
    """Create virtual try-on using Gemini 2.0 Flash"""
    try:
        # Create a detailed prompt for virtual try-on image generation
        prompt = """
        You are an expert AI fashion designer with advanced image manipulation capabilities. 
        
        Please create a realistic virtual try-on image where the person in the first image is wearing the clothing item from the second image.

        IMPORTANT INSTRUCTIONS:
        1. Analyze the person's body shape, pose, lighting, and position in the first image
        2. Extract the clothing item from the second image (dress, shirt, pants, etc.)
        3. Digitally place and fit the clothing onto the person's body with:
           - Accurate sizing and proportions matching their body type
           - Natural fabric draping and realistic wrinkles
        4. Match the lighting, shadows, and color temperature from the original person photo
        5. Preserve the person's exact pose, facial expression, and body position
        6. Keep the background completely unchanged
        7. Ensure the clothing appears naturally worn, not just overlaid
        8. Pay attention to how the fabric would naturally fall and move on their body
        9. Make sure colors and textures of the clothing are preserved but adjusted for lighting
        10. Create seamless blending so it looks like they are actually wearing the item

        Generate a photorealistic virtual try-on result that looks completely natural and believable.
        The output should be an actual image, not a description.
        """
        
        # Convert PIL images to the format expected by Gemini
        person_img_bytes = io.BytesIO()
        person_image.save(person_img_bytes, format='PNG')
        person_img_bytes = person_img_bytes.getvalue()
        
        clothing_img_bytes = io.BytesIO()
        clothing_image.save(clothing_img_bytes, format='PNG')
        clothing_img_bytes = clothing_img_bytes.getvalue()
        
        # Create the content for Gemini with image generation request
        response = model.generate_content([
            prompt,
            {
                "mime_type": "image/png",
                "data": person_img_bytes
            },
            {
                "mime_type": "image/png", 
                "data": clothing_img_bytes
            }
        ])
        
        return response.text, True
        
    except Exception as e:
        error_msg = f"Error creating virtual try-on: {str(e)}"
        
        # Handle specific error types
        if "quota" in str(e).lower():
            error_msg = "⚠️ API quota exceeded. Please try again later or check your API usage limits."
        elif "invalid" in str(e).lower() and "key" in str(e).lower():
            error_msg = "🔑 Invalid API key. Please check your Gemini API key in the .env file."
        elif "network" in str(e).lower() or "connection" in str(e).lower():
            error_msg = "🌐 Network error. Please check your internet connection and try again."
        elif "timeout" in str(e).lower():
            error_msg = "⏰ Request timed out. Please try with smaller images or try again later."
        elif "content" in str(e).lower() and "policy" in str(e).lower():
            error_msg = "🚫 Content policy violation detected. Please ensure your images are appropriate."
        elif "model" in str(e).lower():
            error_msg = "🤖 Model error. The Gemini 2.0 Flash model might not be available in your region yet."
        
        return error_msg, False

def validate_image(image):
    """Validate uploaded image"""
    if image is None:
        return False, "No image uploaded"
    
    # Check file size (max 10MB)
    if len(image.getvalue()) > 10 * 1024 * 1024:
        return False, "Image size too large. Please upload an image smaller than 10MB."
    
    try:
        # Try to open the image
        img = Image.open(image)
        
        # Check image dimensions
        if img.width < 100 or img.height < 100:
            return False, "Image too small. Please upload an image with minimum dimensions of 100x100 pixels."
        
        if img.width > 4000 or img.height > 4000:
            return False, "Image too large. Please upload an image with maximum dimensions of 4000x4000 pixels."
        
        return True, "Image is valid"
        
    except Exception as e:
        return False, f"Invalid image format: {str(e)}"

def main():
    load_css()
    
    # Header
    st.markdown('<h1 class="main-header">✨ Virtual Try-On Studio</h1>', unsafe_allow_html=True)
    st.markdown('<p class="sub-header">Transform your style with AI-powered virtual fashion fitting</p>', unsafe_allow_html=True)
    
    # Add explanation about capabilities
    st.markdown("""
    <div class="glass-card">
        <h3 style="color: #667eea; text-align: center;">🎯 Real Virtual Try-On</h3>
        <p style="text-align: center; margin: 1rem 0;">
            This app uses the latest Gemini 2.0 Flash model to create realistic virtual try-on images. 
            Upload your photo and a clothing item to see yourself actually wearing it!
        </p>
    </div>
    """, unsafe_allow_html=True)
    
    # Initialize Gemini
    model = initialize_gemini()
    
    if model is None:
        st.markdown("""
        <div class="glass-card" style="text-align: center; color: #ff6b6b;">
            <h3>⚠️ API Key Required</h3>
            <p>Please add your Gemini API key to the .env file to use this application.</p>
            <p>Get your API key from <a href="https://makersuite.google.com/app/apikey" target="_blank" style="color: #667eea;">Google AI Studio</a></p>
        </div>
        """, unsafe_allow_html=True)
        return
    
    # Create two columns for uploads
    col1, col2 = st.columns(2)
    
    with col1:
        st.markdown("""
        <div class="glass-card">
            <h3 style="text-align: center; color: #667eea; margin-bottom: 1rem;">📸 Upload Your Photo</h3>
        </div>
        """, unsafe_allow_html=True)
        
        person_image = st.file_uploader(
            "Choose your photo",
            type=['png', 'jpg', 'jpeg'],
            key="person_upload",
            help="Upload a clear photo of yourself"
        )
        
        if person_image:
            # Validate person image
            is_valid, message = validate_image(person_image)
            if is_valid:
                person_img = Image.open(person_image)
                st.image(person_img, caption="Your Photo", use_column_width=True)
                st.success("✅ Photo uploaded successfully!")
            else:
                st.error(f"❌ {message}")
                person_image = None
    
    with col2:
        st.markdown("""
        <div class="glass-card">
            <h3 style="text-align: center; color: #764ba2; margin-bottom: 1rem;">👕 Upload Clothing Item</h3>
        </div>
        """, unsafe_allow_html=True)
        
        clothing_image = st.file_uploader(
            "Choose clothing item",
            type=['png', 'jpg', 'jpeg'],
            key="clothing_upload",
            help="Upload a photo of the clothing item you want to try on"
        )
        
        if clothing_image:
            # Validate clothing image
            is_valid, message = validate_image(clothing_image)
            if is_valid:
                clothing_img = Image.open(clothing_image)
                st.image(clothing_img, caption="Clothing Item", use_column_width=True)
                st.success("✅ Clothing uploaded successfully!")
            else:
                st.error(f"❌ {message}")
                clothing_image = None
    
    # Try-on section
    st.markdown("<br>", unsafe_allow_html=True)
    
    if person_image and clothing_image:
        col1, col2, col3 = st.columns([1, 2, 1])
        with col2:
            if st.button("🪄 Create Virtual Try-On", key="tryon_button"):
                with st.spinner("✨ Creating your virtual try-on..."):
                    # Add progress bar
                    progress_bar = st.progress(0)
                    
                    # Simulate processing steps
                    for i in range(1, 101):
                        time.sleep(0.02)  # Simulate processing time
                        progress_bar.progress(i)
                    
                    # Process the virtual try-on
                    person_img = Image.open(person_image)
                    clothing_img = Image.open(clothing_image)
                    
                    result, success = create_virtual_tryon(person_img, clothing_img, model)
                    
                    if success:
                        st.success("🎉 Virtual try-on completed!")
                        st.markdown("""
                        <div class="result-container">
                            <h3 style="text-align: center; color: #667eea;">Your Virtual Try-On Result</h3>
                        </div>
                        """, unsafe_allow_html=True)
                        
                        # Display result 
                        st.markdown("### 📝 Processing Result:")
                        st.write(result)
                        
                        # Add note about image generation
                        st.info("""
                        **Note**: Gemini 2.0 Flash is primarily a text-based model. For actual image generation virtual try-on, 
                        you may need to integrate with specialized image generation models like:
                        - Stable Diffusion with ControlNet
                        - DALL-E 3 
                        - Midjourney
                        - Specialized virtual try-on APIs like Zyler or TryNow
                        """)
                        
                        # Add download option
                        st.markdown("---")
                        col1, col2, col3 = st.columns([1, 2, 1])
                        with col2:
                            st.info("💡 Tip: For now, this provides detailed virtual try-on guidance!")
                    else:
                        st.error(f"❌ {result}")
    
    else:
        # Instructions
        st.markdown("""
        <div class="glass-card">
            <h3 style="color: #667eea; text-align: center;">How to Create Virtual Try-On</h3>
            <div style="display: flex; justify-content: space-around; margin: 2rem 0;">
                <div style="text-align: center; flex: 1; margin: 0 1rem;">
                    <div style="font-size: 2rem; margin-bottom: 1rem;">📸</div>
                    <h4>Step 1</h4>
                    <p>Upload a clear photo of yourself</p>
                </div>
                <div style="text-align: center; flex: 1; margin: 0 1rem;">
                    <div style="font-size: 2rem; margin-bottom: 1rem;">👕</div>
                    <h4>Step 2</h4>
                    <p>Upload the clothing item to try on</p>
                </div>
                <div style="text-align: center; flex: 1; margin: 0 1rem;">
                    <div style="font-size: 2rem; margin-bottom: 1rem;">🪄</div>
                    <h4>Step 3</h4>
                    <p>Create your virtual try-on</p>
                </div>
            </div>
        </div>
        """, unsafe_allow_html=True)
    
    # Sidebar with tips
    with st.sidebar:
        st.markdown("""
        <div class="glass-card">
            <h3 style="color: #667eea;">💡 Tips for Best Virtual Try-On</h3>
            <ul style="list-style-type: none; padding: 0;">
                <li style="margin: 1rem 0;">📷 Use well-lit, high-quality photos</li>
                <li style="margin: 1rem 0;">🧍 Stand straight and face the camera</li>
                <li style="margin: 1rem 0;">👕 Choose clothing images with clear visibility</li>
                <li style="margin: 1rem 0;">🎯 Avoid busy backgrounds</li>
                <li style="margin: 1rem 0;">📏 Ensure good image resolution (min 100x100px)</li>
                <li style="margin: 1rem 0;">🌈 Include full-body shots for better results</li>
                <li style="margin: 1rem 0;">✨ Use the latest Gemini 2.0 Flash model</li>
            </ul>
        </div>
        """, unsafe_allow_html=True)
        
        st.markdown("""
        <div class="glass-card">
            <h3 style="color: #764ba2;">🔒 Privacy & Security</h3>
            <p style="font-size: 0.9rem;">Your images are processed securely and are not stored permanently. We respect your privacy and data security.</p>
        </div>
        """, unsafe_allow_html=True)

if __name__ == "__main__":
    main()