Delete app.py

app.py

@@ -1,1142 +0,0 @@
-import os
-import numpy as np
-import torch
-import torch.nn as nn
-import gradio as gr
-from torchvision.models import efficientnet_v2_m, EfficientNet_V2_M_Weights
-from torchvision.ops import nms, box_iou
-import torch.nn.functional as F
-from torchvision import transforms
-from PIL import Image, ImageDraw, ImageFont, ImageFilter
-from data_manager import get_dog_description
-from urllib.parse import quote
-from ultralytics import YOLO
-import asyncio
-import traceback
-
-
-model_yolo = YOLO('yolov8l.pt')  
-
-
-dog_breeds = ["Afghan_Hound", "African_Hunting_Dog", "Airedale", "American_Staffordshire_Terrier", 
-              "Appenzeller", "Australian_Terrier", "Bedlington_Terrier", "Bernese_Mountain_Dog", 
-              "Blenheim_Spaniel", "Border_Collie", "Border_Terrier", "Boston_Bull", "Bouvier_Des_Flandres", 
-              "Brabancon_Griffon", "Brittany_Spaniel", "Cardigan", "Chesapeake_Bay_Retriever", 
-              "Chihuahua", "Dandie_Dinmont", "Doberman", "English_Foxhound", "English_Setter", 
-              "English_Springer", "EntleBucher", "Eskimo_Dog", "French_Bulldog", "German_Shepherd", 
-              "German_Short-Haired_Pointer", "Gordon_Setter", "Great_Dane", "Great_Pyrenees", 
-              "Greater_Swiss_Mountain_Dog", "Ibizan_Hound", "Irish_Setter", "Irish_Terrier", 
-              "Irish_Water_Spaniel", "Irish_Wolfhound", "Italian_Greyhound", "Japanese_Spaniel", 
-              "Kerry_Blue_Terrier", "Labrador_Retriever", "Lakeland_Terrier", "Leonberg", "Lhasa", 
-              "Maltese_Dog", "Mexican_Hairless", "Newfoundland", "Norfolk_Terrier", "Norwegian_Elkhound", 
-              "Norwich_Terrier", "Old_English_Sheepdog", "Pekinese", "Pembroke", "Pomeranian", 
-              "Rhodesian_Ridgeback", "Rottweiler", "Saint_Bernard", "Saluki", "Samoyed", 
-              "Scotch_Terrier", "Scottish_Deerhound", "Sealyham_Terrier", "Shetland_Sheepdog", 
-              "Shih-Tzu", "Siberian_Husky", "Staffordshire_Bullterrier", "Sussex_Spaniel", 
-              "Tibetan_Mastiff", "Tibetan_Terrier", "Walker_Hound", "Weimaraner", 
-              "Welsh_Springer_Spaniel", "West_Highland_White_Terrier", "Yorkshire_Terrier", 
-              "Affenpinscher", "Basenji", "Basset", "Beagle", "Black-and-Tan_Coonhound", "Bloodhound", 
-              "Bluetick", "Borzoi", "Boxer", "Briard", "Bull_Mastiff", "Cairn", "Chow", "Clumber", 
-              "Cocker_Spaniel", "Collie", "Curly-Coated_Retriever", "Dhole", "Dingo", 
-              "Flat-Coated_Retriever", "Giant_Schnauzer", "Golden_Retriever", "Groenendael", "Keeshond", 
-              "Kelpie", "Komondor", "Kuvasz", "Malamute", "Malinois", "Miniature_Pinscher", 
-              "Miniature_Poodle", "Miniature_Schnauzer", "Otterhound", "Papillon", "Pug", "Redbone", 
-              "Schipperke", "Silky_Terrier", "Soft-Coated_Wheaten_Terrier", "Standard_Poodle", 
-              "Standard_Schnauzer", "Toy_Poodle", "Toy_Terrier", "Vizsla", "Whippet", 
-              "Wire-Haired_Fox_Terrier"]
-
-class MultiHeadAttention(nn.Module):
-
-    def __init__(self, in_dim, num_heads=8):
-        super().__init__()
-        self.num_heads = num_heads
-        self.head_dim = max(1, in_dim // num_heads)
-        self.scaled_dim = self.head_dim * num_heads
-        self.fc_in = nn.Linear(in_dim, self.scaled_dim)
-        self.query = nn.Linear(self.scaled_dim, self.scaled_dim)
-        self.key = nn.Linear(self.scaled_dim, self.scaled_dim)
-        self.value = nn.Linear(self.scaled_dim, self.scaled_dim)
-        self.fc_out = nn.Linear(self.scaled_dim, in_dim)
-
-    def forward(self, x):
-        N = x.shape[0]
-        x = self.fc_in(x)
-        q = self.query(x).view(N, self.num_heads, self.head_dim)
-        k = self.key(x).view(N, self.num_heads, self.head_dim)
-        v = self.value(x).view(N, self.num_heads, self.head_dim)
-
-        energy = torch.einsum("nqd,nkd->nqk", [q, k])
-        attention = F.softmax(energy / (self.head_dim ** 0.5), dim=2)
-
-        out = torch.einsum("nqk,nvd->nqd", [attention, v])
-        out = out.reshape(N, self.scaled_dim)
-        out = self.fc_out(out)
-        return out
-
-class BaseModel(nn.Module):
-    def __init__(self, num_classes, device='cuda' if torch.cuda.is_available() else 'cpu'):
-        super().__init__()
-        self.device = device
-        self.backbone = efficientnet_v2_m(weights=EfficientNet_V2_M_Weights.IMAGENET1K_V1)
-        self.feature_dim = self.backbone.classifier[1].in_features
-        self.backbone.classifier = nn.Identity()
-
-        self.num_heads = max(1, min(8, self.feature_dim // 64))
-        self.attention = MultiHeadAttention(self.feature_dim, num_heads=self.num_heads)
-
-        self.classifier = nn.Sequential(
-            nn.LayerNorm(self.feature_dim),
-            nn.Dropout(0.3),
-            nn.Linear(self.feature_dim, num_classes)
-        )
-
-        self.to(device)
-
-    def forward(self, x):
-        x = x.to(self.device)
-        features = self.backbone(x)
-        attended_features = self.attention(features)
-        logits = self.classifier(attended_features)
-        return logits, attended_features
-
-
-num_classes = 120
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-model = BaseModel(num_classes=num_classes, device=device)
-
-checkpoint = torch.load('best_model_81_dog.pth', map_location=torch.device('cpu'))
-model.load_state_dict(checkpoint['model_state_dict'])
-
-# evaluation mode
-model.eval()
-
-# Image preprocessing function
-def preprocess_image(image):
-    # If the image is numpy.ndarray turn into PIL.Image
-    if isinstance(image, np.ndarray):
-        image = Image.fromarray(image)
-
-    # Use torchvision.transforms to process images
-    transform = transforms.Compose([
-        transforms.Resize((224, 224)),
-        transforms.ToTensor(),
-        transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
-    ])
-
-    return transform(image).unsqueeze(0)
-
-
-def get_akc_breeds_link(breed):
-    base_url = "https://www.akc.org/dog-breeds/"
-    breed_url = breed.lower().replace('_', '-')
-    return f"{base_url}{breed_url}/"
-
-
-async def predict_single_dog(image):
-    image_tensor = preprocess_image(image)
-    with torch.no_grad():
-        output = model(image_tensor)
-        logits = output[0] if isinstance(output, tuple) else output
-        probabilities = F.softmax(logits, dim=1)
-        topk_probs, topk_indices = torch.topk(probabilities, k=3)
-        top1_prob = topk_probs[0][0].item()
-        topk_breeds = [dog_breeds[idx.item()] for idx in topk_indices[0]]
-        
-        # Calculate relative probabilities for display
-        raw_probs = [prob.item() for prob in topk_probs[0]]
-        sum_probs = sum(raw_probs)
-        relative_probs = [f"{(prob/sum_probs * 100):.2f}%" for prob in raw_probs]
-        
-    return top1_prob, topk_breeds, relative_probs
-    
-
-async def detect_multiple_dogs(image, conf_threshold=0.3, iou_threshold=0.45):
-    results = model_yolo(image, conf=conf_threshold, iou=iou_threshold)[0]
-    dogs = []
-    boxes = []
-    for box in results.boxes:
-        if box.cls == 16:  # COCO dataset class for dog is 16 
-            xyxy = box.xyxy[0].tolist()
-            confidence = box.conf.item()
-            boxes.append((xyxy, confidence))
-    
-    if not boxes:
-        dogs.append((image, 1.0, [0, 0, image.width, image.height]))
-    else:
-        nms_boxes = non_max_suppression(boxes, iou_threshold)
-        
-        for box, confidence in nms_boxes:
-            x1, y1, x2, y2 = box
-            w, h = x2 - x1, y2 - y1
-            x1 = max(0, x1 - w * 0.05)
-            y1 = max(0, y1 - h * 0.05)
-            x2 = min(image.width, x2 + w * 0.05)
-            y2 = min(image.height, y2 + h * 0.05)
-            cropped_image = image.crop((x1, y1, x2, y2))
-            dogs.append((cropped_image, confidence, [x1, y1, x2, y2]))
-    
-    return dogs
-
-
-def non_max_suppression(boxes, iou_threshold):
-    keep = []
-    boxes = sorted(boxes, key=lambda x: x[1], reverse=True)
-    while boxes:
-        current = boxes.pop(0)
-        keep.append(current)
-        boxes = [box for box in boxes if calculate_iou(current[0], box[0]) < iou_threshold]
-    return keep
-
-    
-def calculate_iou(box1, box2):
-    x1 = max(box1[0], box2[0])
-    y1 = max(box1[1], box2[1])
-    x2 = min(box1[2], box2[2])
-    y2 = min(box1[3], box2[3])
-    
-    intersection = max(0, x2 - x1) * max(0, y2 - y1)
-    area1 = (box1[2] - box1[0]) * (box1[3] - box1[1])
-    area2 = (box2[2] - box2[0]) * (box2[3] - box2[1])
-    
-    iou = intersection / float(area1 + area2 - intersection)
-    return iou
-
-
-async def process_single_dog(image):
-    top1_prob, topk_breeds, relative_probs = await predict_single_dog(image)
-    
-    # Case 1: Low confidence - unclear image or breed not in dataset
-    if top1_prob < 0.15:
-        error_message = '''
-            <div class="dog-info-card">
-                <div class="breed-info">
-                    <p class="warning-message">
-                        <span class="icon">⚠️</span>
-                        The image is unclear or the breed is not in the dataset. Please upload a clearer image of a dog.
-                    </p>
-                </div>
-            </div>
-        '''
-        initial_state = {
-            "explanation": error_message,
-            "image": None,
-            "is_multi_dog": False
-        }
-        return error_message, None, initial_state
-
-    breed = topk_breeds[0]
-    
-    # Case 2: High confidence - single breed result
-    if top1_prob >= 0.45:
-        description = get_dog_description(breed)
-        formatted_description = format_description_html(description, breed)  # 使用 format_description_html
-        html_content = f'''
-            <div class="dog-info-card">
-                <div class="breed-info">
-                    {formatted_description}
-                </div>
-            </div>
-        '''
-        initial_state = {
-            "explanation": html_content,
-            "image": image,
-            "is_multi_dog": False
-        }
-        return html_content, image, initial_state
-        
-    # Case 3: Medium confidence - show top 3 breeds with relative probabilities
-    else:
-        breeds_html = ""
-        for i, (breed, prob) in enumerate(zip(topk_breeds, relative_probs)):
-            description = get_dog_description(breed)
-            formatted_description = format_description_html(description, breed)  # 使用 format_description_html
-            breeds_html += f'''
-                <div class="dog-info-card">
-                    <div class="breed-info">
-                        <div class="breed-header">
-                            <span class="breed-name">Breed {i+1}: {breed}</span>
-                            <span class="confidence-badge">Confidence: {prob}</span>
-                        </div>
-                        {formatted_description}
-                    </div>
-                </div>
-            '''
-
-        initial_state = {
-            "explanation": breeds_html,
-            "image": image,
-            "is_multi_dog": False
-        }
-        return breeds_html, image, initial_state
-
-        
-async def predict(image):
-    if image is None:
-        return "Please upload an image to start.", None, None
-
-    try:
-        if isinstance(image, np.ndarray):
-            image = Image.fromarray(image)
-
-        dogs = await detect_multiple_dogs(image)
-        # 更新顏色組合
-        single_dog_color = '#34C759'  # 清爽的綠色作為單狗顏色
-        color_list = [
-        '#FF5733',  # 珊瑚紅
-        '#28A745',  # 深綠色
-        '#3357FF',  # 寶藍色
-        '#FF33F5',  # 粉紫色
-        '#FFB733',  # 橙黃色
-        '#33FFF5',  # 青藍色
-        '#A233FF',  # 紫色
-        '#FF3333',  # 紅色
-        '#33FFB7',  # 青綠色
-        '#FFE033'   # 金黃色 
-        ]
-        annotated_image = image.copy()
-        draw = ImageDraw.Draw(annotated_image)
-
-        try:
-            font = ImageFont.truetype("arial.ttf", 24)
-        except:
-            font = ImageFont.load_default()
-
-        dogs_info = ""
-
-        for i, (cropped_image, detection_confidence, box) in enumerate(dogs):
-            color = single_dog_color if len(dogs) == 1 else color_list[i % len(color_list)]
-            
-            # 優化圖片上的標記
-            draw.rectangle(box, outline=color, width=4)
-            label = f"Dog {i+1}"
-            label_bbox = draw.textbbox((0, 0), label, font=font)
-            label_width = label_bbox[2] - label_bbox[0]
-            label_height = label_bbox[3] - label_bbox[1]
-            
-            label_x = box[0] + 5
-            label_y = box[1] + 5
-            draw.rectangle(
-                [label_x - 2, label_y - 2, label_x + label_width + 4, label_y + label_height + 4],
-                fill='white',
-                outline=color,
-                width=2
-            )
-            draw.text((label_x, label_y), label, fill=color, font=font)
-        
-            top1_prob, topk_breeds, relative_probs = await predict_single_dog(cropped_image)
-            combined_confidence = detection_confidence * top1_prob
-            
-            # 開始資訊卡片
-            dogs_info += f'<div class="dog-info-card" style="border-left: 6px solid {color};">'
-            
-            if combined_confidence < 0.15:
-                dogs_info += f'''
-                    <div class="dog-info-header" style="background-color: {color}10;">
-                        <span class="dog-label" style="color: {color};">Dog {i+1}</span>
-                    </div>
-                    <div class="breed-info">
-                        <p class="warning-message">
-                            <span class="icon">⚠️</span>
-                            The image is unclear or the breed is not in the dataset. Please upload a clearer image.
-                        </p>
-                    </div>
-                '''
-            elif top1_prob >= 0.45:
-                breed = topk_breeds[0]
-                description = get_dog_description(breed)
-                dogs_info += f'''
-                    <div class="dog-info-header" style="background-color: {color}10;">
-                        <span class="dog-label" style="color: {color};">
-                            <span class="icon">🐾</span> {breed}
-                        </span>
-                    </div>
-                    <div class="breed-info">
-                        <h2 class="section-title">
-                            <span class="icon">📋</span> BASIC INFORMATION
-                        </h2>
-                        <div class="info-section">
-                            <div class="info-item">
-                                <span class="tooltip tooltip-left">
-                                    <span class="icon">📏</span>
-                                    <span class="label">Size:</span>
-                                    <span class="tooltip-icon">ⓘ</span>
-                                    <span class="tooltip-text">
-                                        <strong>Size Categories:</strong><br>
-                                        • Small: Under 20 pounds<br>
-                                        • Medium: 20-60 pounds<br>
-                                        • Large: Over 60 pounds<br>
-                                        • Giant: Over 100 pounds<br>
-                                        • Varies: Depends on variety
-                                    </span>
-                                </span>
-                                <span class="value">{description['Size']}</span>
-                            </div>
-                            <div class="info-item">
-                                <span class="tooltip">
-                                    <span class="icon">⏳</span>
-                                    <span class="label">Lifespan:</span>
-                                    <span class="tooltip-icon">ⓘ</span>
-                                    <span class="tooltip-text">
-                                        <strong>Average Lifespan:</strong><br>
-                                        • Short: 6-8 years<br>
-                                        • Average: 10-15 years<br>
-                                        • Long: 12-20 years<br>
-                                        • Varies by size: Larger breeds typically have shorter lifespans
-                                    </span>
-                                </span>
-                                <span class="value">{description['Lifespan']}</span>
-                            </div>
-                        </div>
-        
-                        <h2 class="section-title">
-                            <span class="icon">🐕</span> TEMPERAMENT & PERSONALITY
-                        </h2>
-                        <div class="temperament-section">
-                            <span class="tooltip">
-                                <span class="value">{description['Temperament']}</span>
-                                <span class="tooltip-icon">ⓘ</span>
-                                <span class="tooltip-text">
-                                    <strong>Temperament Guide:</strong><br>
-                                    • Describes the dog's natural behavior and personality<br>
-                                    • Important for matching with owner's lifestyle<br>
-                                    • Can be influenced by training and socialization
-                                </span>
-                            </span>
-                        </div>
-        
-                        <h2 class="section-title">
-                            <span class="icon">💪</span> CARE REQUIREMENTS
-                        </h2>
-                        <div class="care-section">
-                            <div class="info-item">
-                                <span class="tooltip tooltip-left">
-                                    <span class="icon">🏃</span>
-                                    <span class="label">Exercise:</span>
-                                    <span class="tooltip-icon">ⓘ</span>
-                                    <span class="tooltip-text">
-                                        <strong>Exercise Needs:</strong><br>
-                                        • Low: Short walks and play sessions<br>
-                                        • Moderate: 1-2 hours of daily activity<br>
-                                        • High: Extensive exercise (2+ hours/day)<br>
-                                        • Very High: Constant activity and mental stimulation needed
-                                    </span>
-                                </span>
-                                <span class="value">{description['Exercise Needs']}</span>
-                            </div>
-                            <div class="info-item">
-                                <span class="tooltip">
-                                    <span class="icon">✂️</span>
-                                    <span class="label">Grooming:</span>
-                                    <span class="tooltip-icon">ⓘ</span>
-                                    <span class="tooltip-text">
-                                        <strong>Grooming Requirements:</strong><br>
-                                        • Low: Basic brushing, occasional baths<br>
-                                        • Moderate: Weekly brushing, occasional grooming<br>
-                                        • High: Daily brushing, frequent professional grooming needed<br>
-                                        • Professional care recommended for all levels
-                                    </span>
-                                </span>
-                                <span class="value">{description['Grooming Needs']}</span>
-                            </div>
-                            <div class="info-item">
-                                <span class="tooltip">
-                                    <span class="icon">⭐</span>
-                                    <span class="label">Care Level:</span>
-                                    <span class="tooltip-icon">ⓘ</span>
-                                    <span class="tooltip-text">
-                                        <strong>Care Level Explained:</strong><br>
-                                        • Low: Basic care and attention needed<br>
-                                        • Moderate: Regular care and routine needed<br>
-                                        • High: Significant time and attention needed<br>
-                                        • Very High: Extensive care, training and attention required
-                                    </span>
-                                </span>
-                                <span class="value">{description['Care Level']}</span>
-                            </div>
-                        </div>
-        
-                        <h2 class="section-title">
-                            <span class="icon">👨‍👩‍👧‍👦</span> FAMILY COMPATIBILITY
-                        </h2>
-                        <div class="family-section">
-                            <div class="info-item">
-                                <span class="tooltip">
-                                    <span class="icon"></span>
-                                    <span class="label">Good with Children:</span>
-                                    <span class="tooltip-icon">ⓘ</span>
-                                    <span class="tooltip-text">
-                                        <strong>Child Compatibility:</strong><br>
-                                        • Yes: Excellent with kids, patient and gentle<br>
-                                        • Moderate: Good with older children<br>
-                                        • No: Better suited for adult households
-                                    </span>
-                                </span>
-                                <span class="value">{description['Good with Children']}</span>
-                            </div>
-                        </div>
-        
-                        <h2 class="section-title">
-                            <span class="icon">📝</span> DESCRIPTION
-                        </h2>
-                        <div class="description-section">
-                            <p>{description.get('Description', '')}</p>
-                        </div>
-        
-                        <div class="action-section">
-                            <a href="{get_akc_breeds_link(breed)}" target="_blank" class="akc-button">
-                                <span class="icon">🌐</span>
-                                Learn more about {breed} on AKC website
-                            </a>
-                        </div>
-                    </div>
-                '''
-            else:
-                dogs_info += f'''
-                    <div class="dog-info-header" style="background-color: {color}10;">
-                        <span class="dog-label" style="color: {color};">Dog {i+1}</span>
-                    </div>
-                    <div class="breed-info">
-                        <div class="model-uncertainty-note">
-                            <span class="icon">ℹ️</span>
-                            Note: The model is showing some uncertainty in its predictions. 
-                            Here are the most likely breeds based on the available visual features.
-                        </div>
-                        <div class="breeds-list">
-                '''
-                
-                for j, (breed, prob) in enumerate(zip(topk_breeds, relative_probs)):
-                    description = get_dog_description(breed)
-                    dogs_info += f'''
-                        <div class="breed-option uncertainty-mode">  
-                            <div class="breed-header">
-                                <span class="option-number">Option {j+1}</span>
-                                <span class="breed-name">{breed}</span>
-                                <span class="confidence-badge" style="background-color: {color}20; color: {color};">
-                                    Confidence: {prob}
-                                </span>
-                            </div>
-                            <div class="breed-content">
-                                {format_description_html(description, breed)}
-                            </div>
-                        </div>
-                    '''
-                dogs_info += '</div></div>'
-            
-            dogs_info += '</div>'
-
-
-        html_output = f"""
-        <style>
-        .dog-info-card {{ 
-            border: 1px solid #e1e4e8; 
-            margin: 40px 0;  /* 增加卡片間距 */
-            padding: 0; 
-            border-radius: 12px; 
-            box-shadow: 0 2px 12px rgba(0,0,0,0.08);
-            overflow: hidden;
-            transition: all 0.3s ease;
-            background: white;
-        }}
-        
-        .dog-info-card:hover {{
-            box-shadow: 0 4px 16px rgba(0,0,0,0.12);
-        }}
-        
-        .dog-info-header {{ 
-            padding: 24px 28px;  /* 增加內距 */
-            margin: 0;
-            font-size: 22px;
-            font-weight: bold;
-            border-bottom: 1px solid #e1e4e8;
-        }}
-        
-        .breed-info {{
-            padding: 28px;  /* 增加整體內距 */
-            line-height: 1.6;
-        }}
-        
-        .section-title {{
-            font-size: 1.3em;
-            font-weight: 700;
-            color: #2c3e50;
-            margin: 32px 0 20px 0;
-            padding: 12px 0;  
-            border-bottom: 2px solid #e1e4e8;
-            text-transform: uppercase;
-            letter-spacing: 0.5px;
-            display: flex;
-            align-items: center;
-            gap: 8px;
-            position: relative;
-        }}
-        
-        .icon {{
-            font-size: 1.2em;
-            display: inline-flex;
-            align-items: center;
-            justify-content: center;
-        }}
-        
-        .info-section, .care-section, .family-section {{
-            display: flex;
-            flex-wrap: wrap;
-            gap: 16px;
-            margin-bottom: 28px;  /* 增加底部間距 */
-            padding: 20px;  /* 增加內距 */
-            background: #f8f9fa;
-            border-radius: 12px;
-            border: 1px solid #e1e4e8;  /* 添加邊框 */
-        }}
-        
-        .info-item {{
-            background: white;  /* 改為白色背景 */
-            padding: 14px 18px;  /* 增加內距 */
-            border-radius: 8px;
-            display: flex;
-            align-items: center;
-            gap: 10px;
-            box-shadow: 0 2px 4px rgba(0,0,0,0.05);
-            border: 1px solid #e1e4e8;
-            flex: 1 1 auto;
-            min-width: 200px;
-        }}
-        
-        .label {{
-            color: #666;
-            font-weight: 600;
-            font-size: 1.1rem;
-        }}
-        
-        .value {{
-            color: #2c3e50;
-            font-weight: 500;
-            font-size: 1.1rem;
-        }}
-        
-        .temperament-section {{
-            background: #f8f9fa;
-            padding: 20px;  /* 增加內距 */
-            border-radius: 12px;
-            margin-bottom: 28px;  /* 增加間距 */
-            color: #444;
-            border: 1px solid #e1e4e8;  /* 添加邊框 */
-        }}
-        
-        .description-section {{
-            background: #f8f9fa;
-            padding: 24px;  /* 增加內距 */
-            border-radius: 12px;
-            margin: 28px 0;  /* 增加上下間距 */
-            line-height: 1.8;
-            color: #444;
-            border: 1px solid #e1e4e8;  /* 添加邊框 */
-            fontsize: 1.1rem;
-        }}
-
-        .description-section p {{
-            margin: 0;
-            padding: 0;
-            text-align: justify;  /* 文字兩端對齊 */
-            word-wrap: break-word;  /* 確保長單字會換行 */
-            white-space: pre-line;  /* 保留換行但合併空白 */
-            max-width: 100%;  /* 確保不會超出容器 */
-        }}
-        
-        .action-section {{
-            margin-top: 24px;
-            text-align: center;
-        }}
-        
-        .akc-button,
-        .breed-section .akc-link,
-        .breed-option .akc-link {{
-            display: inline-flex;
-            align-items: center;
-            padding: 14px 28px;  
-            background: linear-gradient(145deg, #00509E, #003F7F);
-            color: white;
-            border-radius: 12px;  /* 增加圓角 */
-            text-decoration: none;
-            gap: 12px;  /* 增加圖標和文字間距 */
-            transition: all 0.3s ease;
-            font-weight: 600;
-            font-size: 1.1em;
-            box-shadow: 
-                0 2px 4px rgba(0,0,0,0.1),
-                inset 0 1px 1px rgba(255,255,255,0.1);
-            border: 1px solid rgba(255,255,255,0.1);  
-        }}
-        
-        .akc-button:hover,
-        .breed-section .akc-link:hover,
-        .breed-option .akc-link:hover {{
-            background: linear-gradient(145deg, #003F7F, #00509E);
-            transform: translateY(-2px);  
-            color: white;
-            box-shadow: 
-                0 6px 12px rgba(0,0,0,0.2),  
-                inset 0 1px 1px rgba(255,255,255,0.2);
-            border: 1px solid rgba(255,255,255,0.2);  
-        }}
-
-        .icon {{
-            font-size: 1.3em;  
-            filter: drop-shadow(0 1px 1px rgba(0,0,0,0.2));  
-        }}
-        
-        .warning-message {{
-            display: flex;
-            align-items: center;
-            gap: 8px;
-            color: #ff3b30;
-            font-weight: 500;
-            margin: 0;
-            padding: 16px;
-            background: #fff5f5;
-            border-radius: 8px;
-        }}
-        
-        .model-uncertainty-note {{
-            display: flex;
-            align-items: center;
-            gap: 12px;
-            padding: 16px;
-            background-color: #f8f9fa;
-            border-left: 4px solid #6c757d;
-            margin-bottom: 20px;
-            color: #495057;
-            border-radius: 4px;
-        }}
-        
-        .breeds-list {{
-            display: flex;
-            flex-direction: column;
-            gap: 20px;
-        }}
-        
-        .breed-option {{
-            background: white;
-            border: 1px solid #e1e4e8;
-            border-radius: 8px;
-            overflow: hidden;
-        }}
-        
-        .breed-header {{
-            display: flex;
-            align-items: center;
-            padding: 16px;
-            background: #f8f9fa;
-            gap: 12px;
-            border-bottom: 1px solid #e1e4e8;
-        }}
-        
-        .option-number {{
-            font-weight: 600;
-            color: #666;
-            padding: 4px 8px;
-            background: #e1e4e8;
-            border-radius: 4px;
-        }}
-        
-        .breed-name {{
-            font-size: 1.5em;
-            font-weight: bold;
-            color: #2c3e50;
-            flex-grow: 1;
-        }}
-        
-        .confidence-badge {{
-            padding: 4px 12px;
-            border-radius: 20px;
-            font-size: 0.9em;
-            font-weight: 500;
-        }}
-        
-        .breed-content {{
-            padding: 20px;
-        }}
-
-        .breed-content li {{
-            margin-bottom: 8px;
-            display: flex;
-            align-items: flex-start;  /* 改為頂部對齊 */
-            gap: 8px;
-            flex-wrap: wrap;  /* 允許內容換行 */
-        }}
-
-        .breed-content li strong {{
-            flex: 0 0 auto;  /* 不讓標題縮放 */
-            min-width: 100px;  /* 給標題一個固定最小寬度 */
-        }}
-        
-        ul {{
-            padding-left: 0;
-            margin: 0;
-            list-style-type: none;
-        }}
-        
-        li {{
-            margin-bottom: 8px;
-            display: flex;
-            align-items: center;
-            gap: 8px;
-        }}
-
-        .akc-link {{
-            color: white;
-            text-decoration: none;
-            font-weight: 600;
-            font-size: 1.1em;
-            transition: all 0.3s ease;
-        }}
-        
-        .akc-link:hover {{
-            text-decoration: underline;
-            color: #D3E3F0;
-        }}
-
-        .tooltip {{
-            position: relative;
-            display: inline-flex;
-            align-items: center;
-            gap: 4px;
-            cursor: help;
-        }}
-
-        .tooltip .tooltip-icon {{
-            font-size: 14px;
-            color: #666;
-        }}
-
-        .tooltip .tooltip-text {{
-            visibility: hidden;
-            width: 250px;
-            background-color: rgba(44, 62, 80, 0.95);
-            color: white;
-            text-align: left;
-            border-radius: 8px;
-            padding: 8px 10px;
-            position: absolute;
-            z-index: 100;
-            bottom: 150%;
-            left: 50%;
-            transform: translateX(-50%);
-            opacity: 0;
-            transition: all 0.3s ease;
-            font-size: 14px;
-            line-height: 1.3;
-            box-shadow: 0 4px 6px rgba(0, 0, 0, 0.2);
-            border: 1px solid rgba(255, 255, 255, 0.1)
-            margin-bottom: 10px; 
-        }}
-
-        .tooltip.tooltip-left .tooltip-text {{
-            left: 0;  
-            transform: translateX(0);
-        }}
-
-        .tooltip.tooltip-right .tooltip-text {{
-            left: auto;
-            right: 0;
-            transform: translateX(0);
-        }}
-
-        .tooltip-text strong {{
-            color: white !important;  
-            background-color: transparent !important;  
-            display: block;  /* 讓標題獨立一行 */
-            margin-bottom: 2px;  /* 增加標題下方間距 */
-            padding-bottom: 2px; /* 加入小間距 */
-            border-bottom: 1px solid rgba(255,255,255,0.2);
-        }}
-
-        .tooltip-text {{
-            font-size: 13px;  /* 稍微縮小字體 */
-        }}
-        
-        /* 調整列表符號和文字的間距 */
-        .tooltip-text ul {{
-            margin: 0;
-            padding-left: 15px;  /* 減少列表符號的縮進 */
-        }}
-        
-        .tooltip-text li {{
-            margin-bottom: 1px;  /* 減少列表項目間的間距 */
-        }}
-
-        .tooltip-text br {{
-            line-height: 1.2;  /* 減少行距 */
-        }}
-        
-        .tooltip .tooltip-text::after {{
-            content: "";
-            position: absolute;
-            top: 100%;
-            left: 20%;  /* 調整箭頭位置 */
-            margin-left: -5px;
-            border-width: 5px;
-            border-style: solid;
-            border-color: rgba(44, 62, 80, 0.95) transparent transparent transparent;
-        }}
-
-        .tooltip-left .tooltip-text::after {{
-            left: 20%;
-        }}
-        
-        /* 右側箭頭 */
-        .tooltip-right .tooltip-text::after {{
-            left: 80%;
-        }}
-
-        .tooltip:hover .tooltip-text {{
-            visibility: visible;
-            opacity: 1;
-        }}
-
-        .tooltip .tooltip-text::after {{
-            content: "";
-            position: absolute;
-            top: 100%;
-            left: 50%;
-            transform: translateX(-50%);
-            border-width: 8px;
-            border-style: solid;
-            border-color: rgba(44, 62, 80, 0.95) transparent transparent transparent;
-        }}
-
-        .uncertainty-mode .tooltip .tooltip-text {{
-            position: absolute;
-            left: 100%;
-            bottom: auto;
-            top: 50%;
-            transform: translateY(-50%);
-            margin-left: 10px;
-            z-index: 1000;  /* 確保提示框在最上層 */
-        }}
-        
-        .uncertainty-mode .tooltip .tooltip-text::after {{
-            content: "";
-            position: absolute;
-            top: 50%;
-            right: 100%;
-            transform: translateY(-50%);
-            border-width: 5px;
-            border-style: solid;
-            border-color: transparent rgba(44, 62, 80, 0.95) transparent transparent;
-        }}
-
-        .uncertainty-mode .breed-content {{
-            font-size: 1.1rem;  /* 增加字體大小 */
-        }}
-
-        .description-section,
-        .description-section p,
-        .temperament-section,
-        .temperament-section .value,
-        .info-item,
-        .info-item .value,
-        .breed-content {{
-            font-size: 1.1rem !important;  /* 使用 !important 確保覆蓋其他樣式 */
-        }}
-        </style>
-        {dogs_info}
-        """
-
-        initial_state = {
-            "dogs_info": dogs_info,
-            "image": annotated_image,
-            "is_multi_dog": len(dogs) > 1,
-            "html_output": html_output
-        }
-        
-        return html_output, annotated_image, initial_state
-
-    except Exception as e:
-        error_msg = f"An error occurred: {str(e)}\n\nTraceback:\n{traceback.format_exc()}"
-        print(error_msg)
-        return error_msg, None, None
-        
-
-def show_details_html(choice, previous_output, initial_state):
-    if not choice:
-        return previous_output, gr.update(visible=True), initial_state
-
-    try:
-        breed = choice.split("More about ")[-1]
-        description = get_dog_description(breed)
-        formatted_description = format_description_html(description, breed)
-        
-        html_output = f"""
-        <div class="dog-info">
-            <h2>{breed}</h2>
-            {formatted_description}
-        </div>
-        """
-        
-        initial_state["current_description"] = html_output
-        initial_state["original_buttons"] = initial_state.get("buttons", [])
-        
-        return html_output, gr.update(visible=True), initial_state
-    except Exception as e:
-        error_msg = f"An error occurred while showing details: {e}"
-        print(error_msg)
-        return f"<p style='color: red;'>{error_msg}</p>", gr.update(visible=True), initial_state
-        
-
-def format_description_html(description, breed):
-    html = "<ul style='list-style-type: none; padding-left: 0;'>"
-    if isinstance(description, dict):
-        for key, value in description.items():
-            if key != "Breed":  # 跳過重複的品種顯示
-                if key == "Size":
-                    html += f'''
-                        <li style='margin-bottom: 10px;'>
-                            <span class="tooltip">
-                                <strong>{key}:</strong>
-                                <span class="tooltip-icon">ⓘ</span>
-                                <span class="tooltip-text">
-                                    <strong>Size Categories:</strong><br>
-                                    • Small: Under 20 pounds<br>
-                                    • Medium: 20-60 pounds<br>
-                                    • Large: Over 60 pounds
-                                </span>
-                            </span> {value}
-                        </li>
-                    '''
-                elif key == "Exercise Needs":
-                    html += f'''
-                        <li style='margin-bottom: 10px;'>
-                            <span class="tooltip">
-                                <strong>{key}:</strong>
-                                <span class="tooltip-icon">ⓘ</span>
-                                <span class="tooltip-text">
-                                    <strong>Exercise Needs:</strong><br>
-                                    • High: 2+ hours of daily exercise<br>
-                                    • Moderate: 1-2 hours of daily activity<br>
-                                    • Low: Short walks and play sessions
-                                </span>
-                            </span> {value}
-                        </li>
-                    '''
-                elif key == "Grooming Needs":
-                    html += f'''
-                        <li style='margin-bottom: 10px;'>
-                            <span class="tooltip">
-                                <strong>{key}:</strong>
-                                <span class="tooltip-icon">ⓘ</span>
-                                <span class="tooltip-text">
-                                    <strong>Grooming Requirements:</strong><br>
-                                    • High: Daily brushing, regular professional care<br>
-                                    • Moderate: Weekly brushing, occasional grooming<br>
-                                    • Low: Minimal brushing, basic maintenance
-                                </span>
-                            </span> {value}
-                        </li>
-                    '''
-                elif key == "Care Level":
-                    html += f'''
-                        <li style='margin-bottom: 10px;'>
-                            <span class="tooltip">
-                                <strong>{key}:</strong>
-                                <span class="tooltip-icon">ⓘ</span>
-                                <span class="tooltip-text">
-                                    <strong>Care Level Explained:</strong><br>
-                                    • High: Needs significant training and attention<br>
-                                    • Moderate: Regular care and routine needed<br>
-                                    • Low: More independent, basic care sufficient
-                                </span>
-                            </span> {value}
-                        </li>
-                    '''
-                elif key == "Good with Children":
-                    html += f'''
-                        <li style='margin-bottom: 10px;'>
-                            <span class="tooltip">
-                                <strong>{key}:</strong>
-                                <span class="tooltip-icon">ⓘ</span>
-                                <span class="tooltip-text">
-                                    <strong>Child Compatibility:</strong><br>
-                                    • Yes: Excellent with kids, patient and gentle<br>
-                                    • Moderate: Good with older children<br>
-                                    • No: Better suited for adult households
-                                </span>
-                            </span> {value}
-                        </li>
-                    '''
-                elif key == "Lifespan":
-                    html += f'''
-                        <li style='margin-bottom: 10px;'>
-                            <span class="tooltip">
-                                <strong>{key}:</strong>
-                                <span class="tooltip-icon">ⓘ</span>
-                                <span class="tooltip-text">
-                                    <strong>Average Lifespan:</strong><br>
-                                    • Short: 6-8 years<br>
-                                    • Average: 10-15 years<br>
-                                    • Long: 12-20 years
-                                </span>
-                            </span> {value}
-                        </li>
-                    '''
-                elif key == "Temperament":
-                    html += f'''
-                        <li style='margin-bottom: 10px;'>
-                            <span class="tooltip">
-                                <strong>{key}:</strong>
-                                <span class="tooltip-icon">ⓘ</span>
-                                <span class="tooltip-text">
-                                    <strong>Temperament Guide:</strong><br>
-                                    • Describes the dog's natural behavior<br>
-                                    • Important for matching with owner
-                                </span>
-                            </span> {value}
-                        </li>
-                    '''
-                else:
-                    # 其他欄位保持原樣顯示
-                    html += f"<li style='margin-bottom: 10px;'><strong>{key}:</strong> {value}</li>"
-    else:
-        html += f"<li>{description}</li>"
-    html += "</ul>"
-    
-    # 添加AKC連結
-    html += f'''
-        <div class="action-section">
-            <a href="{get_akc_breeds_link(breed)}" target="_blank" class="akc-button">
-                <span class="icon">🌐</span>
-                Learn more about {breed} on AKC website
-            </a>
-        </div>
-    '''
-    return html
-
-
-with gr.Blocks() as iface:
-    gr.HTML("<h1 style='text-align: center;'>🐶 Dog Breed Classifier 🔍</h1>")
-    gr.HTML("<p style='text-align: center;'>Upload a picture of a dog, and the model will predict its breed and provide detailed information!</p>")
-    gr.HTML("<p style='text-align: center; color: #666; font-size: 0.9em;'>Note: The model's predictions may not always be 100% accurate, and it is recommended to use the results as a reference.</p>")
-    
-    
-    with gr.Row():
-        input_image = gr.Image(label="Upload a dog image", type="pil")
-        output_image = gr.Image(label="Annotated Image")
-    
-    output = gr.HTML(label="Prediction Results")
-    initial_state = gr.State()
-    
-    input_image.change(
-        predict,
-        inputs=input_image,
-        outputs=[output, output_image, initial_state]
-    )
-    
-    gr.Examples(
-        examples=['Border_Collie.jpg', 'Golden_Retriever.jpeg', 'Saint_Bernard.jpeg', 'French_Bulldog.jpeg', 'Samoyed.jpg'],
-        inputs=input_image
-    )
-    
-    gr.HTML('For more details on this project and other work, feel free to visit my GitHub <a href="https://github.com/Eric-Chung-0511/Learning-Record/tree/main/Data%20Science%20Projects/Dog_Breed_Classifier">Dog Breed Classifier</a>')
-
-
-if __name__ == "__main__":
-    iface.launch()