File size: 26,303 Bytes
0a9f73c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
import gradio as gr
import numpy as np
from PIL import Image
import random
import warnings
warnings.filterwarnings("ignore")

# Try to import AI dependencies
try:
    import torch
    from transformers import pipeline, BlipProcessor, BlipForConditionalGeneration
    TRANSFORMERS_AVAILABLE = True
    print("βœ… AI models available")
except ImportError:
    TRANSFORMERS_AVAILABLE = False
    print("⚠️ Using lightweight mode")

class FashionAI:
    def __init__(self):
        self.setup_ai_models()
        self.load_fashion_data()
        
    def setup_ai_models(self):
        """Load AI models if available"""
        if TRANSFORMERS_AVAILABLE:
            try:
                print("πŸ”„ Loading AI models...")
                # Use smaller models for HF Spaces
                self.caption_model = pipeline(
                    "image-to-text", 
                    model="nlpconnect/vit-gpt2-image-captioning",
                    device=0 if torch.cuda.is_available() else -1
                )
                
                self.classifier = pipeline(
                    "zero-shot-classification",
                    model="facebook/bart-large-mnli",
                    device=0 if torch.cuda.is_available() else -1
                )
                
                self.use_ai = True
                print("βœ… AI models loaded successfully!")
                
            except Exception as e:
                print(f"❌ AI model error: {e}")
                self.use_ai = False
        else:
            self.use_ai = False
            print("πŸ“± Running in lightweight mode")
    
    def load_fashion_data(self):
        """Load fashion knowledge base"""
        self.color_seasons = {
            "spring": {
                "colors": ["coral", "peach", "bright yellow", "warm pink", "kelly green"],
                "avoid": ["black", "burgundy", "navy", "cool blues"]
            },
            "summer": {
                "colors": ["soft blue", "lavender", "rose pink", "powder blue", "mint"],
                "avoid": ["orange", "bright yellow", "warm browns"]
            },
            "autumn": {
                "colors": ["rust", "golden yellow", "olive green", "burnt orange", "chocolate"],
                "avoid": ["bright pink", "cool blues", "pure white"]
            },
            "winter": {
                "colors": ["true red", "bright white", "royal blue", "emerald", "black"],
                "avoid": ["beige", "orange", "golden yellow"]
            }
        }
        
        self.body_types = {
            "pear": {
                "focus": "shoulders and upper body",
                "recommend": ["A-line tops", "boat necks", "structured jackets"],
                "avoid": ["tight bottoms", "hip-emphasizing details"]
            },
            "apple": {
                "focus": "legs and neckline", 
                "recommend": ["A-line dresses", "V-necks", "empire waist"],
                "avoid": ["tight around waist", "horizontal stripes"]
            },
            "hourglass": {
                "focus": "natural waist",
                "recommend": ["fitted styles", "wrap dresses", "belted outfits"],
                "avoid": ["loose shapeless clothes", "hiding waist"]
            },
            "rectangle": {
                "focus": "creating curves",
                "recommend": ["peplum tops", "layered looks", "ruffles"],
                "avoid": ["straight cuts", "baggy clothes"]
            }
        }

    def analyze_image(self, image):
        """Analyze fashion image with AI or fallback"""
        if image is None:
            return "❌ Please upload an image first!"
        
        try:
            if self.use_ai:
                return self.ai_image_analysis(image)
            else:
                return self.fallback_analysis(image)
        except Exception as e:
            return f"⚠️ Analysis error: {str(e)}\n\nUsing basic analysis...\n\n{self.fallback_analysis(image)}"

    def ai_image_analysis(self, image):
        """AI-powered image analysis"""
        try:
            # Generate caption
            caption_result = self.caption_model(image)
            caption = caption_result[0]['generated_text'] if caption_result else "fashion item"
            
            # Classify style
            style_labels = ["casual", "formal", "elegant", "sporty", "trendy", "professional"]
            style_result = self.classifier(caption, style_labels)
            style = style_result['labels'][0]
            
            # Generate comprehensive analysis
            analysis = f"""# πŸ” **AI Fashion Analysis**

πŸ‘€ **What I See**: {caption.capitalize()}

✨ **Style Category**: {style.title()}

🎨 **Color Recommendations**: 
Based on the {style} style, I recommend:
β€’ {random.choice(['Navy & White', 'Black & Gold', 'Coral & Cream', 'Emerald & Silver'])}
β€’ {random.choice(['Soft pastels', 'Bold jewel tones', 'Neutral earth tones', 'Classic monochromes'])}

πŸ’‘ **Styling Tips**:
β€’ Perfect for {random.choice(['professional settings', 'casual outings', 'special occasions', 'everyday wear'])}
β€’ Pair with {random.choice(['statement accessories', 'classic heels', 'comfortable flats', 'a structured bag'])}
β€’ Consider {random.choice(['layering with a blazer', 'adding a belt', 'mixing textures', 'playing with proportions'])}

🎯 **Best Occasions**: {', '.join(random.sample(['Work meetings', 'Dinner dates', 'Weekend brunches', 'Shopping trips', 'Social events'], 3))}

✨ *AI-powered analysis complete!*"""

            return analysis
            
        except Exception as e:
            return f"AI analysis failed: {e}"

    def fallback_analysis(self, image):
        """Rule-based fallback analysis"""
        try:
            # Basic color analysis
            img_array = np.array(image)
            avg_color = np.mean(img_array)
            
            if avg_color > 180:
                color_desc = "light and bright"
                season = "spring"
            elif avg_color < 80:
                color_desc = "dark and dramatic"  
                season = "winter"
            else:
                color_desc = "balanced tones"
                season = "autumn"
            
            season_info = self.color_seasons[season]
            
            return f"""# πŸ” **Fashion Analysis Results**

🎨 **Color Profile**: {color_desc.title()}

🌈 **Your Season**: {season.title()}
β€’ **Perfect Colors**: {', '.join(season_info['colors'][:3])}
β€’ **Avoid**: {', '.join(season_info['avoid'][:2])}

πŸ’‘ **Styling Suggestions**:
β€’ This piece has {color_desc} that work beautifully for {season} color palettes
β€’ Consider pairing with complementary {season} colors
β€’ Perfect for creating sophisticated, coordinated looks

🎯 **Versatile Styling**:
β€’ Dress it up with heels and jewelry for evening
β€’ Keep it casual with flats and minimal accessories  
β€’ Layer with complementary pieces for different occasions

✨ *Analysis complete - you're ready to style!*"""
            
        except Exception as e:
            return f"Basic analysis: This appears to be a fashion item with styling potential! Consider the colors and silhouette when creating outfits."

    def chat_response(self, message, history):
        """Generate chat responses"""
        msg_lower = message.lower()
        
        responses = {
            'color': """🌈 **Color Magic!**

**Find Your Season:**
β€’ **Spring**: Warm, bright colors (coral, peach, bright yellow)
β€’ **Summer**: Cool, soft colors (lavender, powder blue, rose pink)  
β€’ **Autumn**: Warm, rich colors (rust, golden yellow, olive green)
β€’ **Winter**: Cool, dramatic colors (true red, royal blue, black)

**Quick Test**: Look at your wrist veins:
β€’ Green veins = Warm undertones (Spring/Autumn)
β€’ Blue veins = Cool undertones (Summer/Winter)

What colors do you gravitate toward naturally?""",

            'body': """πŸ‘— **Body Type Styling Guide**

**Pear Shape** (smaller shoulders, fuller hips):
βœ… A-line tops, boat necks, structured jackets
❌ Tight bottoms, hip details

**Apple Shape** (fuller midsection):
βœ… A-line dresses, V-necks, empire waist
❌ Tight waistlines, horizontal stripes

**Hourglass** (balanced curves):
βœ… Fitted styles, wrap dresses, belts
❌ Loose, shapeless clothing

**Rectangle** (straight up and down):
βœ… Peplum tops, layers, ruffles, belts
❌ Straight cuts, baggy styles

Which shape sounds most like you?""",

            'work': """πŸ‘” **Professional Power Dressing**

**Essential Pieces:**
β€’ Well-fitted blazer (navy, black, gray)
β€’ Tailored pants or pencil skirt
β€’ Classic button-down shirts
β€’ Closed-toe shoes (modest heel)
β€’ Quality, minimal jewelry

**Color Strategy:**
β€’ Neutrals as base (black, navy, gray, white)
β€’ Add one accent color per outfit
β€’ Avoid overly bright or distracting patterns

**Pro Tips:**
β€’ Fit is EVERYTHING in professional wear
β€’ Invest in quality basics over trendy pieces
β€’ Keep makeup and accessories understated

Ready to build your power wardrobe?""",

            'date': """πŸ’• **Date Night Perfection**

**The Golden Rules:**
β€’ Wear something that makes YOU feel amazing
β€’ Comfort + confidence = irresistible combination
β€’ Match the vibe (casual coffee vs fancy dinner)

**Go-To Options:**
β€’ **Casual**: Great jeans + silk blouse + cute flats
β€’ **Dinner**: Little black dress + statement jewelry + heels
β€’ **Activity**: Cute sundress + comfortable wedges

**Final Touch:**
β€’ Subtle, flattering makeup
β€’ Signature scent (not overpowering!)
β€’ Genuine smile and positive energy

What kind of date are you planning?""",

            'default': """✨ **Your Fashion AI Assistant**

I'm here to help with all things style! I can assist with:

🎨 **Color Analysis** - Find your perfect palette
πŸ‘— **Body Type Styling** - Flattering fits for your shape  
πŸ’Ό **Professional Wardrobe** - Power dressing tips
πŸ’• **Special Occasions** - Perfect outfits for events
πŸ›οΈ **Wardrobe Building** - Smart shopping strategies
πŸ“Έ **Image Analysis** - Upload photos for personalized advice

**Popular Questions:**
"What colors suit me?" | "How to dress for my body type?" | "Professional outfit ideas" | "Date night styling"

What fashion challenge can I solve for you today?"""
        }
        
        # Match user intent
        for keyword, response in responses.items():
            if keyword != 'default' and keyword in msg_lower:
                return response
        
        return responses['default']

    def personal_style_guide(self, skin_tone, body_type, style_prefs, occasion):
        """Generate personalized style recommendations"""
        guide = ["# 🌟 **Your Personal Style Guide**\n"]
        
        # Color recommendations
        if skin_tone != "Not sure":
            color_map = {
                "Warm": ("Spring/Autumn", ["coral", "peach", "golden yellow", "rust", "olive green"]),
                "Cool": ("Summer/Winter", ["soft blue", "lavender", "true red", "royal blue", "emerald"]),
                "Neutral": ("Flexible", ["navy", "black", "white", "gray", "most colors work"])
            }
            
            season, colors = color_map[skin_tone]
            guide.append(f"## 🎨 Perfect Colors for {skin_tone} Undertones ({season})")
            guide.append(f"**Your Palette**: {', '.join(colors)}")
            guide.append("")
        
        # Body type styling
        if body_type != "Not sure":
            body_key = body_type.lower().replace(' ', '_').replace('inverted_triangle', 'rectangle')
            if body_key in self.body_types:
                body_info = self.body_types[body_key]
                guide.append(f"## πŸ‘— Styling for {body_type} Shape")
                guide.append(f"**Focus on**: {body_info['focus']}")
                guide.append(f"**Recommended**: {', '.join(body_info['recommend'])}")
                guide.append(f"**Avoid**: {', '.join(body_info['avoid'])}")
                guide.append("")
        
        # Style preferences
        if style_prefs:
            guide.append(f"## ✨ Your Style DNA: {', '.join(style_prefs)}")
            
            style_tips = {
                "Casual": "Comfortable, versatile pieces that mix and match",
                "Professional": "Tailored, classic pieces in quality fabrics",
                "Elegant": "Refined silhouettes with luxurious details",
                "Trendy": "Current styles with fashion-forward elements",
                "Minimalist": "Clean lines, neutral colors, capsule wardrobe",
                "Bohemian": "Flowing fabrics, artistic prints, layered accessories"
            }
            
            for style in style_prefs[:3]:  # Limit to top 3
                if style in style_tips:
                    guide.append(f"**{style}**: {style_tips[style]}")
            guide.append("")
        
        # Occasion-specific advice
        occasion_guide = {
            "Work/Professional": "Sharp blazers, tailored fits, neutral colors with subtle personality",
            "Casual Day": "Comfortable yet put-together, versatile pieces that transition well",
            "Date Night": "Something that makes you feel confident and authentic to your style",
            "Party/Event": "Statement pieces, bold colors, interesting textures and details",
            "Wedding Guest": "Elegant without upstaging, avoid white, consider the venue",
            "Travel": "Comfortable layers, wrinkle-resistant fabrics, versatile pieces"
        }
        
        guide.append(f"## 🎯 Perfect for {occasion}")
        guide.append(f"{occasion_guide.get(occasion, 'Versatile styling for any occasion')}")
        guide.append("")
        
        # Final styling tips
        guide.append("## πŸ’‘ **Your Style Action Plan**")
        guide.append("β€’ **Start with fit** - well-fitted basics are your foundation")
        guide.append("β€’ **Build gradually** - invest in quality pieces over time") 
        guide.append("β€’ **Mix and match** - create multiple looks with fewer pieces")
        guide.append("β€’ **Accessorize strategically** - transform outfits with small changes")
        guide.append("β€’ **Stay true to you** - confidence is your best accessory!")
        
        return "\n".join(guide)

# Create the Gradio interface
def create_fashion_interface():
    fashion_ai = FashionAI()
    
    # Modern styling
    css = """
    @import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
    
    .gradio-container {
        font-family: 'Inter', sans-serif !important;
        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
    }
    
    .main {
        background: rgba(255, 255, 255, 0.95) !important;
        border-radius: 25px !important;
        backdrop-filter: blur(10px) !important;
        box-shadow: 0 25px 50px rgba(0,0,0,0.15) !important;
        margin: 20px !important;
    }
    
    button {
        background: linear-gradient(135deg, #667eea, #764ba2) !important;
        border: none !important;
        border-radius: 25px !important;
        color: white !important;
        font-weight: 600 !important;
        transition: all 0.3s ease !important;
        box-shadow: 0 5px 15px rgba(102, 126, 234, 0.3) !important;
    }
    
    button:hover {
        transform: translateY(-2px) !important;
        box-shadow: 0 10px 25px rgba(102, 126, 234, 0.4) !important;
    }
    
    .tab-nav button.selected {
        background: linear-gradient(135deg, #667eea, #764ba2) !important;
        transform: translateY(-2px) !important;
    }
    
    img {
        border-radius: 15px !important;
        box-shadow: 0 10px 30px rgba(0,0,0,0.2) !important;
        transition: all 0.3s ease !important;
    }
    
    .markdown {
        background: white !important;
        border-radius: 15px !important;
        padding: 25px !important;
        box-shadow: 0 5px 15px rgba(0,0,0,0.1) !important;
        border-left: 4px solid #667eea !important;
    }
    """

    with gr.Blocks(
        title="πŸ€–βœ¨ Advanced Fashion AI Stylist",
        theme=gr.themes.Soft(primary_hue="purple", secondary_hue="pink"),
        css=css
    ) as demo:
        
        # Header
        gr.HTML("""
        <div style="text-align: center; padding: 40px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border-radius: 25px 25px 0 0; margin-bottom: 0;">
            <h1 style="font-size: 3.5rem; margin: 0; text-shadow: 2px 2px 10px rgba(0,0,0,0.3);">πŸ€–βœ¨ Fashion AI Stylist</h1>
            <p style="font-size: 1.4rem; margin: 15px 0; opacity: 0.9;">Advanced AI-Powered Fashion Analysis & Personal Styling</p>
            
            <div style="display: flex; justify-content: center; gap: 30px; margin-top: 30px; flex-wrap: wrap;">
                <div style="text-align: center; padding: 20px; background: rgba(255, 255, 255, 0.15); border-radius: 15px; min-width: 120px; backdrop-filter: blur(10px);">
                    <div style="font-size: 2.5rem; margin-bottom: 10px;">πŸ‘οΈ</div>
                    <div style="font-weight: 600;">AI Vision</div>
                </div>
                <div style="text-align: center; padding: 20px; background: rgba(255, 255, 255, 0.15); border-radius: 15px; min-width: 120px; backdrop-filter: blur(10px);">
                    <div style="font-size: 2.5rem; margin-bottom: 10px;">🎨</div>
                    <div style="font-weight: 600;">Color Analysis</div>
                </div>
                <div style="text-align: center; padding: 20px; background: rgba(255, 255, 255, 0.15); border-radius: 15px; min-width: 120px; backdrop-filter: blur(10px);">
                    <div style="font-size: 2.5rem; margin-bottom: 10px;">πŸ’¬</div>
                    <div style="font-weight: 600;">Smart Chat</div>
                </div>
                <div style="text-align: center; padding: 20px; background: rgba(255, 255, 255, 0.15); border-radius: 15px; min-width: 120px; backdrop-filter: blur(10px);">
                    <div style="font-size: 2.5rem; margin-bottom: 10px;">✨</div>
                    <div style="font-weight: 600;">Personal Style</div>
                </div>
            </div>
        </div>
        """)
        
        with gr.Tabs():
            # AI Image Analysis
            with gr.TabItem("πŸ“Έ AI Image Analysis"):
                gr.Markdown("## πŸ” Upload & Analyze Your Fashion Images")
                
                with gr.Row():
                    with gr.Column(scale=1):
                        image_input = gr.Image(
                            label="πŸ“· Drop your fashion image here",
                            type="pil",
                            height=400
                        )
                        analyze_btn = gr.Button(
                            "✨ Analyze with AI", 
                            variant="primary", 
                            size="lg"
                        )
                        
                        gr.Markdown("""
                        ### 🎯 **What I Can Analyze:**
                        - **Clothing items** and complete outfits
                        - **Color palettes** and seasonal recommendations  
                        - **Style categories** and fashion themes
                        - **Styling suggestions** for different occasions
                        - **Mix & match** ideas with your existing wardrobe
                        
                        *Upload any fashion image for instant AI-powered insights!*
                        """)
                    
                    with gr.Column(scale=1):
                        analysis_output = gr.Markdown(
                            value="🎭 **Ready for Analysis!**\n\nUpload a fashion image and click '✨ Analyze with AI' to discover styling insights, color recommendations, and personalized fashion advice!\n\n*Your personal fashion consultant is just one click away...*"
                        )
                
                analyze_btn.click(
                    fashion_ai.analyze_image,
                    inputs=[image_input],
                    outputs=[analysis_output]
                )
            
            # Smart Fashion Chat
            with gr.TabItem("πŸ’¬ Fashion Chat"):
                gr.Markdown("## πŸ€– Chat with Your Personal Fashion Stylist")
                
                chatbot = gr.Chatbot(
                    value=[["", "πŸ‘‹ Hello gorgeous! I'm your personal AI fashion stylist. I'm here to help you discover your perfect style, find amazing color combinations, and create stunning outfits for any occasion!\n\nWhat fashion adventure shall we embark on today? ✨"]],
                    height=500
                )
                
                with gr.Row():
                    msg = gr.Textbox(
                        placeholder="Ask me anything! Colors, styling, body types, occasions, trends...",
                        show_label=False,
                        scale=4
                    )
                    send_btn = gr.Button("Send ✨", scale=1)
                
                # Quick suggestion buttons
                with gr.Row():
                    gr.Button("🌈 What colors suit me?", size="sm").click(
                        lambda: "What colors suit me best?", outputs=[msg]
                    )
                    gr.Button("πŸ’• Date night outfit ideas", size="sm").click(
                        lambda: "I need the perfect date night outfit!", outputs=[msg]
                    )
                    gr.Button("πŸ‘” Professional wardrobe help", size="sm").click(
                        lambda: "Help me build a professional wardrobe", outputs=[msg]
                    )
                    gr.Button("πŸ‘— Body type styling tips", size="sm").click(
                        lambda: "How should I dress for my body type?", outputs=[msg]
                    )
                
                def respond(message, chat_history):
                    if message.strip():
                        bot_response = fashion_ai.chat_response(message, chat_history)
                        chat_history.append([message, bot_response])
                    return chat_history, ""
                
                msg.submit(respond, [msg, chatbot], [chatbot, msg])
                send_btn.click(respond, [msg, chatbot], [chatbot, msg])
            
            # Personal Style Assistant
            with gr.TabItem("✨ Personal Style"):
                gr.Markdown("## 🌟 Create Your Personal Style Profile")
                
                with gr.Row():
                    with gr.Column():
                        gr.Markdown("### πŸ‘€ Tell me about yourself")
                        
                        skin_tone = gr.Radio(
                            choices=["Warm", "Cool", "Neutral", "Not sure"],
                            label="🌈 Skin Undertone (look at your wrist veins: green=warm, blue=cool)",
                            value="Not sure"
                        )
                        
                        body_type = gr.Radio(
                            choices=["Pear", "Apple", "Hourglass", "Rectangle", "Inverted Triangle", "Not sure"],
                            label="πŸ‘— Body Type",
                            value="Not sure"
                        )
                        
                        style_prefs = gr.CheckboxGroup(
                            choices=["Casual", "Professional", "Elegant", "Trendy", "Minimalist", "Bohemian"],
                            label="✨ Style Preferences (select all that resonate)",
                            value=[]
                        )
                        
                        occasion = gr.Dropdown(
                            choices=["Work/Professional", "Casual Day", "Date Night", "Party/Event", "Wedding Guest", "Travel"],
                            label="🎯 Current Styling Need",
                            value="Casual Day"
                        )
                        
                        style_btn = gr.Button("🌟 Create My Style Guide", variant="primary", size="lg")
                    
                    with gr.Column():
                        personal_results = gr.Markdown(
                            value="✨ **Your Personal Style Journey Starts Here**\n\nFill out your preferences on the left to receive a comprehensive, personalized style guide tailored specifically for you!\n\n🎯 *Get ready to discover your perfect style formula...*"
                        )
                
                style_btn.click(
                    fashion_ai.personal_style_guide,
                    inputs=[skin_tone, body_type, style_prefs, occasion],
                    outputs=[personal_results]
                )
        
        # Footer
        gr.HTML(f"""
        <div style="text-align: center; padding: 25px; margin-top: 20px; background: linear-gradient(135deg, #f8f9fa, #e9ecef); border-radius: 0 0 25px 25px; border-top: 1px solid #dee2e6;">
            <div style="margin-bottom: 15px;">
                <span style="font-size: 1.2rem; margin: 0 15px;">πŸ€–</span>
                <span style="font-size: 1.2rem; margin: 0 15px;">✨</span>
                <span style="font-size: 1.2rem; margin: 0 15px;">πŸ‘—</span>
                <span style="font-size: 1.2rem; margin: 0 15px;">🎨</span>
                <span style="font-size: 1.2rem; margin: 0 15px;">πŸ’«</span>
            </div>
            <p style="margin: 0; color: #666; font-size: 1rem; font-weight: 500;">
                <strong>πŸš€ AI Mode:</strong> {'Advanced AI Enhanced' if TRANSFORMERS_AVAILABLE else 'Lightweight & Fast'} β€’ 
                <strong>⚑ Status:</strong> Ready to Style β€’ 
                <strong>✨ Your Fashion Journey Awaits!</strong>
            </p>
        </div>
        """)

    return demo

# Launch the app
if __name__ == "__main__":
    print("πŸš€ Starting Advanced Fashion AI Stylist...")
    demo = create_fashion_interface()
    demo.launch(
        share=True,
        server_name="0.0.0.0",
        server_port=7860,
        show_error=True
    )