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README.md

@@ -1,13 +1,12 @@
 ---
-title: TrendSurfer
-emoji: 🐨
-colorFrom: blue
-colorTo: purple
+title: TrendSurfer AI - Fashion Recognition
+emoji: 👔
+colorFrom: purple
+colorTo: pink
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 4.0.0
 app_file: app.py
 pinned: false
 license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+short_description: AI destekli kıyafet analizi ve ürün linkleme.
+---

app.py

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+import gradio as gr
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from PIL import Image
+import torch
+import re
+from urllib.parse import quote
+
+# Model yükleme (BLIP-2 detaylı görsel açıklama için)
+processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
+model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
+
+# Desteklenen markalar ve arama URL'leri
+BRANDS = {
+    "Zara": "https://www.zara.com/tr/en/search?searchTerm=",
+    "Mango": "https://shop.mango.com/tr/kadin/arama?q=",
+    "H&M": "https://www2.hm.com/tr_tr/search-results.html?q=",
+    "Bershka": "https://www.bershka.com/tr/search?searchTerm=",
+    "Pull&Bear": "https://www.pullandbear.com/tr/search?searchTerm="
+}
+
+# Kıyafet kategorileri ve anahtar kelimeler
+CLOTHING_KEYWORDS = {
+    'jacket': ['jacket', 'blazer', 'coat', 'cardigan', 'bomber'],
+    'top': ['shirt', 'blouse', 't-shirt', 'top', 'sweater', 'hoodie'],
+    'pants': ['pants', 'trousers', 'jeans', 'shorts'],
+    'skirt': ['skirt', 'mini skirt', 'maxi skirt'],
+    'dress': ['dress', 'gown'],
+    'shoes': ['shoes', 'boots', 'sneakers', 'heels', 'sandals'],
+    'accessories': ['bag', 'purse', 'hat', 'scarf', 'belt', 'sunglasses']
+}
+
+def analyze_fashion_image(image):
+    """Görseli analiz edip detaylı kıyafet açıklaması çıkarır"""
+    if image is None:
+        return "❌ Lütfen bir görsel yükleyin", ""
+    
+    # Görseli işle
+    inputs = processor(image, return_tensors="pt")
+    
+    # Detaylı açıklama üret
+    with torch.no_grad():
+        out = model.generate(**inputs, max_length=100, num_beams=5)
+    
+    description = processor.decode(out[0], skip_special_tokens=True)
+    
+    # Kıyafet parçalarını tespit et
+    detected_items = extract_clothing_items(description)
+    
+    if not detected_items:
+        detected_items = [description]  # Eğer spesifik parça bulunamazsa genel açıklamayı kullan
+    
+    # Sonuçları formatla
+    result_html = create_fashion_cards(detected_items)
+    
+    return f"🔍 **Analiz Sonucu:** {description}", result_html
+
+def extract_clothing_items(description):
+    """Açıklamadan kıyafet parçalarını çıkarır"""
+    items = []
+    description_lower = description.lower()
+    
+    # Her kategori için kontrol et
+    for category, keywords in CLOTHING_KEYWORDS.items():
+        for keyword in keywords:
+            if keyword in description_lower:
+                # Kelime çevresindeki bağlamı al
+                start_idx = max(0, description_lower.index(keyword) - 20)
+                end_idx = min(len(description), description_lower.index(keyword) + len(keyword) + 30)
+                context = description[start_idx:end_idx].strip()
+                
+                # Renkler ve stili bul
+                colors = extract_colors(context)
+                
+                item_desc = f"{colors} {keyword}".strip() if colors else keyword
+                if item_desc not in items:
+                    items.append(item_desc)
+                break
+    
+    return items if items else [description]
+
+def extract_colors(text):
+    """Metinden renk bilgilerini çıkarır"""
+    colors = ['black', 'white', 'blue', 'red', 'green', 'yellow', 'pink', 'purple', 
+              'brown', 'gray', 'grey', 'beige', 'navy', 'cream', 'olive', 'burgundy',
+              'siyah', 'beyaz', 'mavi', 'kırmızı', 'yeşil', 'sarı', 'pembe', 'mor',
+              'kahverengi', 'gri', 'bej', 'lacivert', 'krem']
+    
+    text_lower = text.lower()
+    found_colors = [color for color in colors if color in text_lower]
+    
+    return ' '.join(found_colors) if found_colors else ''
+
+def create_fashion_cards(items):
+    """Instagram-style kıyafet kartları oluşturur"""
+    cards_html = '<div style="display: flex; flex-direction: column; gap: 20px; margin-top: 20px;">'
+    
+    for idx, item in enumerate(items, 1):
+        search_query = quote(item)
+        
+        # Her kıyafet parçası için kart
+        card_html = f'''
+        <div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); 
+                    border-radius: 15px; padding: 20px; color: white; 
+                    box-shadow: 0 10px 30px rgba(0,0,0,0.3);">
+            <h3 style="margin: 0 0 15px 0; font-size: 18px; text-transform: uppercase; 
+                       letter-spacing: 1px;">
+                👔 {item}
+            </h3>
+            <div style="display: flex; flex-wrap: wrap; gap: 10px;">
+        '''
+        
+        # Her marka için buton
+        for brand, base_url in BRANDS.items():
+            brand_url = f"{base_url}{search_query}"
+            card_html += f'''
+                <a href="{brand_url}" target="_blank" 
+                   style="background: rgba(255,255,255,0.2); border: 2px solid white; 
+                          color: white; padding: 10px 20px; border-radius: 25px; 
+                          text-decoration: none; font-weight: bold; 
+                          transition: all 0.3s; display: inline-block;
+                          backdrop-filter: blur(10px);">
+                    {brand} 🔗
+                </a>
+            '''
+        
+        card_html += '''
+            </div>
+        </div>
+        '''
+        
+        cards_html += card_html
+    
+    cards_html += '</div>'
+    
+    return cards_html
+
+# Gradio Arayüzü
+with gr.Blocks(css="""
+    .gradio-container {
+        font-family: 'Arial', sans-serif;
+        max-width: 1200px;
+        margin: auto;
+    }
+    .title {
+        text-align: center;
+        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+        -webkit-background-clip: text;
+        -webkit-text-fill-color: transparent;
+        font-size: 48px;
+        font-weight: bold;
+        margin-bottom: 10px;
+    }
+    .subtitle {
+        text-align: center;
+        color: #666;
+        font-size: 18px;
+        margin-bottom: 30px;
+    }
+""") as demo:
+    
+    gr.HTML("""
+        <div class="title">✨ TrendSurfer AI</div>
+        <div class="subtitle">
+            Zaratrendsetter tarzında kıyafet analizi 🎯<br>
+            Fotoğraf yükleyin, trendleri keşfedin!
+        </div>
+    """)
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            image_input = gr.Image(type="pil", label="📸 Kombin Fotoğrafı Yükleyin")
+            analyze_btn = gr.Button("🔍 Analiz Et", variant="primary", size="lg")
+        
+        with gr.Column(scale=1):
+            result_text = gr.Markdown(label="Analiz Sonucu")
+            result_html = gr.HTML(label="Ürün Linkleri")
+    
+    analyze_btn.click(
+        fn=analyze_fashion_image,
+        inputs=image_input,
+        outputs=[result_text, result_html]
+    )
+    
+    # Örnek görseller
+    gr.Examples(
+        examples=[
+            ["https://images.unsplash.com/photo-1490481651871-ab68de25d43d?w=400"],
+            ["https://images.unsplash.com/photo-1487222477894-8943e31ef7b2?w=400"],
+        ],
+        inputs=image_input,
+        label="Örnek Görseller"
+    )
+
+# Uygulamayı başlat
+if __name__ == "__main__":
+    demo.launch()
+

requirements.txt

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+gradio>=4.0.0
+transformers>=4.30.0
+torch>=2.0.0
+pillow>=9.0.0
+accelerate>=0.20.0