app.py

import gradio as gr
from PIL import Image, ImageStat
import numpy as np
import io
import math

print("🚀 Glow AI - Skin Analysis Tool Starting...")
print("Using pure image processing (no ML models)")

def analyze_skin_detailed(image):
    """Advanced skin analysis using image processing techniques"""
    
    if image is None:
        return "❌ Please upload an image first.", None
    
    try:
        # Convert to PIL if needed
        if isinstance(image, np.ndarray):
            pil_image = Image.fromarray(image)
        else:
            pil_image = image
        
        # Store original for display
        original = pil_image.copy()
        
        # Resize for analysis
        pil_image = pil_image.resize((400, 400))
        
        # Convert to RGB if needed
        if pil_image.mode != 'RGB':
            pil_image = pil_image.convert('RGB')
        
        # Get image stats
        width, height = pil_image.size
        
        # Basic validation
        if width < 100 or height < 100:
            return "⚠️ Image too small. Please upload a clearer photo.", original
        
        # Convert to numpy array
        img_array = np.array(pil_image)
        r_avg = np.mean(img_array[:,:,0])
        g_avg = np.mean(img_array[:,:,1])
        b_avg = np.mean(img_array[:,:,2])
        
        # Calculate overall brightness
        brightness = (r_avg + g_avg + b_avg) / 3
        
        # Calculate grayscale for texture analysis
        gray = np.dot(img_array[...,:3], [0.2989, 0.5870, 0.1140])
        
        # === COLOR ANALYSIS ===
        # Determine dominant color
        if r_avg > g_avg and r_avg > b_avg:
            dominant = "🔴 Red/Warm tones"
            if r_avg - g_avg > 30:
                condition_name = "Redness / Inflammation"
                condition_confidence = min(85, (r_avg - g_avg) / 3)
                condition_advice = "Use gentle, soothing products. Avoid harsh ingredients. Consider consulting a dermatologist."
            else:
                condition_name = "Warm Skin Undertones"
                condition_confidence = 65
                condition_advice = "Your skin shows warm undertones. Look for products with golden or peachy tones."
        elif g_avg > r_avg and g_avg > b_avg:
            dominant = "🟢 Greenish tones"
            condition_name = "Potential Skin Sensitivity"
            condition_confidence = 55
            condition_advice = "This coloring may indicate certain conditions. Please consult a dermatologist."
        else:
            dominant = "⚪ Neutral/Cool tones"
            condition_name = "Neutral Skin Undertones"
            condition_confidence = 75
            condition_advice = "Your skin shows cool undertones. Look for products with pink or blue undertones."
        
        # === TEXTURE ANALYSIS ===
        r_std = np.std(img_array[:,:,0])
        g_std = np.std(img_array[:,:,1])
        b_std = np.std(img_array[:,:,2])
        texture_score = (r_std + g_std + b_std) / 3
        
        if texture_score > 60:
            texture_result = "⚠️ Noticeable texture variation"
            texture_confidence = 70
        elif texture_score > 40:
            texture_result = "📊 Moderate texture"
            texture_confidence = 60
        else:
            texture_result = "✅ Smooth texture"
            texture_confidence = 80
        
        # === LIGHTING ANALYSIS ===
        if brightness < 80:
            lighting_result = "❌ Too Dark"
            lighting_confidence = 85
            lighting_advice = "Please use better lighting for more accurate analysis"
        elif brightness > 200:
            lighting_result = "❌ Too Bright / Overexposed"
            lighting_confidence = 85
            lighting_advice = "Please reduce lighting for more accurate analysis"
        else:
            lighting_result = "✅ Good"
            lighting_confidence = 90
            lighting_advice = "Lighting conditions are optimal"
        
        # === OILINESS DETECTION ===
        highlights = np.sum(gray > 200)
        highlight_percent = (highlights / (width * height)) * 100
        
        if highlight_percent > 15:
            oiliness_name = "High Oiliness"
            oiliness_confidence = min(85, highlight_percent * 2)
            oiliness_advice = "Use oil-free, non-comedogenic products. Cleanse twice daily. Consider salicylic acid."
        elif highlight_percent > 5:
            oiliness_name = "Moderate Oiliness"
            oiliness_confidence = 60
            oiliness_advice = "Maintain balanced cleansing. Use lightweight, oil-free moisturizers."
        else:
            oiliness_name = "Normal Oil Levels"
            oiliness_confidence = 75
            oiliness_advice = "Your oil production appears balanced. Continue with your current routine."
        
        # === PIGMENTATION DETECTION ===
        darkness_threshold = brightness * 0.6
        dark_pixels = np.sum(gray < darkness_threshold)
        dark_percent = (dark_pixels / (width * height)) * 100
        
        if dark_percent > 20:
            pigmentation_name = "Hyperpigmentation / Dark Spots"
            pigmentation_confidence = min(80, dark_percent * 1.5)
            pigmentation_advice = "Use Vitamin C serum daily. Always wear SPF 50+. Consider niacinamide for brightening."
        elif dark_percent > 8:
            pigmentation_name = "Uneven Pigmentation"
            pigmentation_confidence = 55
            pigmentation_advice = "Consider incorporating brightening ingredients like Vitamin C or alpha arbutin."
        else:
            pigmentation_name = "Even Pigmentation"
            pigmentation_confidence = 85
            pigmentation_advice = "Your skin tone appears even. Continue with sun protection to maintain it."
        
        # === BUILD OUTPUT HTML ===
        output = f"""
        <div style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; max-width: 650px; margin: 0 auto;">
            <div style="background: linear-gradient(135deg, #ec4899 0%, #f43f5e 100%); padding: 25px; border-radius: 20px; color: white; text-align: center; margin-bottom: 25px;">
                <h2 style="margin: 0; font-size: 28px;">✨ Glow AI Analysis Report</h2>
                <p style="margin: 8px 0 0; opacity: 0.9;">Image Processing Analysis</p>
            </div>
            
            <div style="background: #f0fdf4; padding: 20px; border-radius: 15px; margin-bottom: 20px; border-left: 4px solid #22c55e;">
                <h3 style="margin: 0 0 12px; color: #166534;">📊 Image Quality</h3>
                <p><strong>💡 Lighting:</strong> {lighting_result} <span style="color: #666;">(Confidence: {lighting_confidence:.0f}%)</span></p>
                <p><strong>🎨 Dominant Color:</strong> {dominant}</p>
                <p><strong>✨ Texture:</strong> {texture_result} <span style="color: #666;">(Confidence: {texture_confidence:.0f}%)</span></p>
                <p><strong>☀️ Brightness:</strong> {brightness:.0f}/255</p>
                <p style="font-size: 14px; color: #666; margin-top: 12px; background: #f9fafb; padding: 10px; border-radius: 8px;">
                    💡 {lighting_advice}
                </p>
            </div>
            
            <div style="background: white; border: 1px solid #e5e7eb; border-radius: 15px; padding: 20px; margin-bottom: 20px;">
                <h3 style="margin: 0 0 15px; color: #1f2937;">🔍 Analysis Results</h3>
                
                <div style="margin-bottom: 15px; padding: 15px; background: #fef2f2; border-radius: 12px; border-left: 3px solid #ef4444;">
                    <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px;">
                        <strong style="font-size: 16px;">🩸 {condition_name}</strong>
                        <span style="background: #fee2e2; color: #dc2626; padding: 2px 10px; border-radius: 20px; font-size: 12px; font-weight: bold;">
                            {condition_confidence:.0f}%
                        </span>
                    </div>
                    <p style="margin: 0; font-size: 14px; color: #4b5563;">💡 {condition_advice}</p>
                </div>
                
                <div style="margin-bottom: 15px; padding: 15px; background: #fefce8; border-radius: 12px; border-left: 3px solid #eab308;">
                    <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px;">
                        <strong style="font-size: 16px;">💧 {oiliness_name}</strong>
                        <span style="background: #fef3c7; color: #d97706; padding: 2px 10px; border-radius: 20px; font-size: 12px; font-weight: bold;">
                            {oiliness_confidence:.0f}%
                        </span>
                    </div>
                    <p style="margin: 0; font-size: 14px; color: #4b5563;">💡 {oiliness_advice}</p>
                </div>
                
                <div style="padding: 15px; background: #f3e8ff; border-radius: 12px; border-left: 3px solid #9333ea;">
                    <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px;">
                        <strong style="font-size: 16px;">🎨 {pigmentation_name}</strong>
                        <span style="background: #ede9fe; color: #7c3aed; padding: 2px 10px; border-radius: 20px; font-size: 12px; font-weight: bold;">
                            {pigmentation_confidence:.0f}%
                        </span>
                    </div>
                    <p style="margin: 0; font-size: 14px; color: #4b5563;">💡 {pigmentation_advice}</p>
                </div>
            </div>
            
            <div style="background: #eff6ff; padding: 20px; border-radius: 15px; margin-bottom: 20px;">
                <h3 style="margin: 0 0 12px; color: #1e40af;">💡 Daily Skincare Routine</h3>
                <ul style="margin: 0; padding-left: 20px;">
                    <li>🧼 Cleanse gently morning and night</li>
                    <li>☀️ Apply SPF 30+ every single day</li>
                    <li>💧 Use moisturizer suitable for your skin type</li>
                    <li>🥗 Eat antioxidant-rich foods</li>
                    <li>😴 Get 7-9 hours of quality sleep</li>
                    <li>💊 Consider consulting a dermatologist for personalized advice</li>
                </ul>
            </div>
            
            <div style="background: #fef2f2; padding: 20px; border-radius: 15px; border: 1px solid #fecaca;">
                <h3 style="margin: 0 0 10px; color: #991b1b;">⚕️ Medical Disclaimer</h3>
                <p style="margin: 0; font-size: 14px;">
                    <strong>This analysis is for INFORMATIONAL purposes only and is NOT a medical diagnosis.</strong><br><br>
                    🚫 This tool cannot detect skin cancer, serious conditions, or replace professional medical advice.<br><br>
                    ✅ <strong>Please consult a dermatologist if you have:</strong>
                </p>
                <ul style="margin: 10px 0 0; padding-left: 20px;">
                    <li>Moles changing in size, shape, or color</li>
                    <li>Sores that won't heal</li>
                    <li>Persistent itching, bleeding, or pain</li>
                    <li>Any sudden or concerning skin changes</li>
                </ul>
            </div>
        </div>
        """
        
        return output, original
        
    except Exception as e:
        return f"❌ Error analyzing image: {str(e)}", image

def clear_all():
    """Clear all inputs and outputs"""
    return None, None, None

# Create the Gradio interface
with gr.Blocks(title="Glow AI - Skin Analysis", theme=gr.themes.Soft()) as demo:
    gr.Markdown("""
    # ✨ Glow AI - Skin Analysis
    ### Upload a clear, well-lit photo of your skin
    """)
    
    gr.Markdown("✅ **Active:** Real-time image processing analysis")
    
    with gr.Row():
        with gr.Column():
            image_input = gr.Image(type="pil", label="📸 Upload Photo", height=350)
            
            with gr.Row():
                analyze_btn = gr.Button("🔬 Analyze", variant="primary", size="lg")
                clear_btn = gr.Button("🗑️ Clear", variant="secondary")
            
            gr.Markdown("""
            ### 📋 Tips:
            - Use natural lighting
            - Take a clear, focused photo
            - Remove makeup if possible
            """)
        
        with gr.Column():
            output_text = gr.HTML("### 📊 Click 'Analyze' to start")
            output_image = gr.Image(label="📷 Your Image", height=250)
    
    analyze_btn.click(
        fn=analyze_skin_detailed,
        inputs=[image_input],
        outputs=[output_text, output_image]
    )
    
    clear_btn.click(
        fn=clear_all,
        inputs=[],
        outputs=[image_input, output_text, output_image]
    )

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)