Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -9,6 +9,9 @@ import torch.nn.functional as F
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from torchvision import transforms
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from PIL import Image, ImageDraw, ImageFont, ImageFilter
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from data_manager import get_dog_description, UserPreferences, get_breed_recommendations, format_recommendation_html
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from urllib.parse import quote
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from ultralytics import YOLO
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import asyncio
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@@ -17,6 +20,7 @@ import traceback
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model_yolo = YOLO('yolov8l.pt')
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dog_breeds = ["Afghan_Hound", "African_Hunting_Dog", "Airedale", "American_Staffordshire_Terrier",
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"Appenzeller", "Australian_Terrier", "Bedlington_Terrier", "Bernese_Mountain_Dog",
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@@ -104,7 +108,7 @@ num_classes = 120
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model = BaseModel(num_classes=num_classes, device=device)
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checkpoint = torch.load('best_model_81_dog.pth', map_location=torch.device('cpu'))
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model.load_state_dict(checkpoint['model_state_dict'])
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# evaluation mode
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@@ -271,7 +275,6 @@ async def process_single_dog(image):
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def create_breed_comparison(breed1: str, breed2: str) -> dict:
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"""比較兩個狗品種的特性"""
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breed1_info = get_dog_description(breed1)
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breed2_info = get_dog_description(breed2)
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@@ -730,877 +733,290 @@ def format_description_html(description, breed):
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'''
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return html
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transition: all 0.3s ease;
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background: white;
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}
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.dog-info-card:hover {
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box-shadow: 0 4px 16px rgba(0,0,0,0.12);
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}
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.dog-info-header {
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padding: 24px 28px; /* 增加內距 */
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margin: 0;
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font-size: 22px;
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font-weight: bold;
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border-bottom: 1px solid #e1e4e8;
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}
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.breed-info {
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padding: 28px; /* 增加整體內距 */
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line-height: 1.6;
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}
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.section-title {
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font-size: 1.3em;
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font-weight: 700;
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color: #2c3e50;
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margin: 32px 0 20px 0;
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padding: 12px 0;
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border-bottom: 2px solid #e1e4e8;
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text-transform: uppercase;
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letter-spacing: 0.5px;
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display: flex;
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align-items: center;
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gap: 8px;
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position: relative;
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}
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.icon {
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font-size: 1.2em;
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display: inline-flex;
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align-items: center;
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justify-content: center;
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}
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.info-section, .care-section, .family-section {
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display: flex;
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flex-wrap: wrap;
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gap: 16px;
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margin-bottom: 28px; /* 增加底部間距 */
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padding: 20px; /* 增加內距 */
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background: #f8f9fa;
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border-radius: 12px;
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border: 1px solid #e1e4e8; /* 添加邊框 */
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}
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.info-item {
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background: white; /* 改為白色背景 */
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padding: 14px 18px; /* 增加內距 */
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border-radius: 8px;
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display: flex;
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align-items: center;
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gap: 10px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.05);
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border: 1px solid #e1e4e8;
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flex: 1 1 auto;
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min-width: 200px;
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}
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.label {
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color: #666;
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font-weight: 600;
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font-size: 1.1rem;
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}
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.value {
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color: #2c3e50;
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font-weight: 500;
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font-size: 1.1rem;
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}
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.temperament-section {
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background: #f8f9fa;
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padding: 20px; /* 增加內距 */
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border-radius: 12px;
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margin-bottom: 28px; /* 增加間距 */
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color: #444;
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border: 1px solid #e1e4e8; /* 添加邊框 */
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}
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.description-section {
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background: #f8f9fa;
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padding: 24px; /* 增加內距 */
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border-radius: 12px;
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margin: 28px 0; /* 增加上下間距 */
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line-height: 1.8;
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color: #444;
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border: 1px solid #e1e4e8; /* 添加邊框 */
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fontsize: 1.1rem;
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}
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.description-section p {
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margin: 0;
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padding: 0;
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text-align: justify; /* 文字兩端對齊 */
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word-wrap: break-word; /* 確保長單字會換行 */
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white-space: pre-line; /* 保留換行但合併空白 */
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max-width: 100%; /* 確保不會超出容器 */
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}
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.action-section {
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margin-top: 24px;
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text-align: center;
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}
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.akc-button,
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.breed-section .akc-link,
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.breed-option .akc-link {
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display: inline-flex;
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align-items: center;
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padding: 14px 28px;
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background: linear-gradient(145deg, #00509E, #003F7F);
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color: white;
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border-radius: 12px; /* 增加圓角 */
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text-decoration: none;
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gap: 12px; /* 增加圖標和文字間距 */
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transition: all 0.3s ease;
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font-weight: 600;
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font-size: 1.1em;
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box-shadow:
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0 2px 4px rgba(0,0,0,0.1),
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inset 0 1px 1px rgba(255,255,255,0.1);
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border: 1px solid rgba(255,255,255,0.1);
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}
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.akc-button:hover,
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.breed-section .akc-link:hover,
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.breed-option .akc-link:hover {
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background: linear-gradient(145deg, #003F7F, #00509E);
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transform: translateY(-2px);
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color: white;
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box-shadow:
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0 6px 12px rgba(0,0,0,0.2),
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inset 0 1px 1px rgba(255,255,255,0.2);
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border: 1px solid rgba(255,255,255,0.2);
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}
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.icon {
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font-size: 1.3em;
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filter: drop-shadow(0 1px 1px rgba(0,0,0,0.2));
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}
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.warning-message {
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display: flex;
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align-items: center;
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gap: 8px;
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color: #ff3b30;
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font-weight: 500;
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margin: 0;
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padding: 16px;
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background: #fff5f5;
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border-radius: 8px;
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}
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.model-uncertainty-note {
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display: flex;
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align-items: center;
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gap: 12px;
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padding: 16px;
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background-color: #f8f9fa;
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border-left: 4px solid #6c757d;
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margin-bottom: 20px;
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color: #495057;
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border-radius: 4px;
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}
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.breeds-list {
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display: flex;
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flex-direction: column;
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gap: 20px;
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}
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.breed-option {
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background: white;
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border: 1px solid #e1e4e8;
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border-radius: 8px;
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overflow: hidden;
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}
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.breed-header {
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display: flex;
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align-items: center;
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padding: 16px;
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background: #f8f9fa;
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gap: 12px;
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border-bottom: 1px solid #e1e4e8;
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}
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.option-number {
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font-weight: 600;
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color: #666;
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padding: 4px 8px;
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background: #e1e4e8;
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border-radius: 4px;
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}
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.breed-name {
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font-size: 1.5em;
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font-weight: bold;
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color: #2c3e50;
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flex-grow: 1;
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}
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.confidence-badge {
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padding: 4px 12px;
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border-radius: 20px;
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font-size: 0.9em;
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font-weight: 500;
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}
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.breed-content {
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padding: 20px;
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}
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.breed-content li {
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margin-bottom: 8px;
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display: flex;
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align-items: flex-start; /* 改為頂部對齊 */
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gap: 8px;
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flex-wrap: wrap; /* 允許內容換�� */
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}
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.breed-content li strong {
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flex: 0 0 auto; /* 不讓標題縮放 */
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min-width: 100px; /* 給標題一個固定最小寬度 */
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}
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ul {
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padding-left: 0;
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margin: 0;
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list-style-type: none;
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}
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li {
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margin-bottom: 8px;
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display: flex;
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align-items: center;
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gap: 8px;
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}
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.akc-link {
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color: white;
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text-decoration: none;
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font-weight: 600;
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font-size: 1.1em;
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transition: all 0.3s ease;
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}
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.akc-link:hover {
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text-decoration: underline;
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color: #D3E3F0;
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}
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.tooltip {
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position: relative;
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display: inline-flex;
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align-items: center;
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gap: 4px;
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cursor: help;
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}
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.tooltip .tooltip-icon {
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font-size: 14px;
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color: #666;
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}
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.tooltip .tooltip-text {
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visibility: hidden;
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width: 250px;
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background-color: rgba(44, 62, 80, 0.95);
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color: white;
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text-align: left;
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border-radius: 8px;
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padding: 8px 10px;
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position: absolute;
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z-index: 100;
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bottom: 150%;
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left: 50%;
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transform: translateX(-50%);
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opacity: 0;
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transition: all 0.3s ease;
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font-size: 14px;
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line-height: 1.3;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.2);
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border: 1px solid rgba(255, 255, 255, 0.1)
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margin-bottom: 10px;
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}
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.tooltip.tooltip-left .tooltip-text {
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left: 0;
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transform: translateX(0);
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}
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.tooltip.tooltip-right .tooltip-text {
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left: auto;
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right: 0;
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transform: translateX(0);
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}
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.tooltip-text strong {
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color: white !important;
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background-color: transparent !important;
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display: block; /* 讓標題獨立一行 */
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margin-bottom: 2px; /* 增加標題下方間距 */
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padding-bottom: 2px; /* 加入小間距 */
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border-bottom: 1px solid rgba(255,255,255,0.2);
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}
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.tooltip-text {
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font-size: 13px; /* 稍微縮小字體 */
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}
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/* 調整列表符號和文字的間距 */
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.tooltip-text ul {
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margin: 0;
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padding-left: 15px; /* 減少列表符號的縮進 */
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}
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.tooltip-text li {
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margin-bottom: 1px; /* 減少列表項目間的間距 */
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}
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.tooltip-text br {
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line-height: 1.2; /* 減少行距 */
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}
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.tooltip .tooltip-text::after {
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content: "";
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position: absolute;
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top: 100%;
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left: 20%; /* 調整箭頭位置 */
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margin-left: -5px;
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border-width: 5px;
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border-style: solid;
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border-color: rgba(44, 62, 80, 0.95) transparent transparent transparent;
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}
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.tooltip-left .tooltip-text::after {
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left: 20%;
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}
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/* 右側箭頭 */
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.tooltip-right .tooltip-text::after {
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left: 80%;
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}
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.tooltip:hover .tooltip-text {
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visibility: visible;
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opacity: 1;
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}
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.tooltip .tooltip-text::after {
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content: "";
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position: absolute;
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top: 100%;
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left: 50%;
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transform: translateX(-50%);
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border-width: 8px;
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border-style: solid;
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border-color: rgba(44, 62, 80, 0.95) transparent transparent transparent;
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}
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.uncertainty-mode .tooltip .tooltip-text {
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position: absolute;
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left: 100%;
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bottom: auto;
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top: 50%;
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transform: translateY(-50%);
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margin-left: 10px;
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z-index: 1000; /* 確保提示框在最上層 */
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}
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.uncertainty-mode .tooltip .tooltip-text::after {
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content: "";
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position: absolute;
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top: 50%;
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right: 100%;
|
1110 |
-
transform: translateY(-50%);
|
1111 |
-
border-width: 5px;
|
1112 |
-
border-style: solid;
|
1113 |
-
border-color: transparent rgba(44, 62, 80, 0.95) transparent transparent;
|
1114 |
-
}
|
1115 |
-
.uncertainty-mode .breed-content {
|
1116 |
-
font-size: 1.1rem; /* 增加字體大小 */
|
1117 |
-
}
|
1118 |
-
.description-section,
|
1119 |
-
.description-section p,
|
1120 |
-
.temperament-section,
|
1121 |
-
.temperament-section .value,
|
1122 |
-
.info-item,
|
1123 |
-
.info-item .value,
|
1124 |
-
.breed-content {
|
1125 |
-
font-size: 1.1rem !important; /* 使用 !important 確保覆蓋其他樣式 */
|
1126 |
-
}
|
1127 |
-
|
1128 |
-
.recommendation-card {
|
1129 |
-
margin-bottom: 40px;
|
1130 |
-
}
|
1131 |
-
|
1132 |
-
.compatibility-scores {
|
1133 |
-
background: #f8f9fa;
|
1134 |
-
padding: 24px;
|
1135 |
-
border-radius: 12px;
|
1136 |
-
margin: 20px 0;
|
1137 |
-
}
|
1138 |
-
|
1139 |
-
.score-item {
|
1140 |
-
margin: 15px 0;
|
1141 |
-
}
|
1142 |
-
|
1143 |
-
.progress-bar {
|
1144 |
-
height: 12px;
|
1145 |
-
background-color: #e9ecef;
|
1146 |
-
border-radius: 6px;
|
1147 |
-
overflow: hidden;
|
1148 |
-
margin: 8px 0;
|
1149 |
-
}
|
1150 |
-
|
1151 |
-
.progress {
|
1152 |
-
height: 100%;
|
1153 |
-
background: linear-gradient(90deg, #34C759, #30B350);
|
1154 |
-
border-radius: 6px;
|
1155 |
-
transition: width 0.6s ease;
|
1156 |
-
}
|
1157 |
-
|
1158 |
-
.percentage {
|
1159 |
-
float: right;
|
1160 |
-
color: #34C759;
|
1161 |
-
font-weight: 600;
|
1162 |
-
}
|
1163 |
-
|
1164 |
-
.breed-details-section {
|
1165 |
-
margin: 30px 0;
|
1166 |
-
}
|
1167 |
-
|
1168 |
-
.subsection-title {
|
1169 |
-
font-size: 1.2em;
|
1170 |
-
color: #2c3e50;
|
1171 |
-
margin-bottom: 20px;
|
1172 |
-
display: flex;
|
1173 |
-
align-items: center;
|
1174 |
-
gap: 8px;
|
1175 |
-
}
|
1176 |
-
|
1177 |
-
.details-grid {
|
1178 |
-
display: grid;
|
1179 |
-
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
|
1180 |
-
gap: 20px;
|
1181 |
-
background: #f8f9fa;
|
1182 |
-
padding: 20px;
|
1183 |
-
border-radius: 12px;
|
1184 |
-
border: 1px solid #e1e4e8;
|
1185 |
-
}
|
1186 |
-
|
1187 |
-
.detail-item {
|
1188 |
-
background: white;
|
1189 |
-
padding: 15px;
|
1190 |
-
border-radius: 8px;
|
1191 |
-
border: 1px solid #e1e4e8;
|
1192 |
-
}
|
1193 |
-
|
1194 |
-
.description-text {
|
1195 |
-
line-height: 1.8;
|
1196 |
-
color: #444;
|
1197 |
-
margin: 0;
|
1198 |
-
padding: 24px 30px; /* 調整內部間距,從 20px 改為 24px 30px */
|
1199 |
-
background: #f8f9fa;
|
1200 |
-
border-radius: 12px;
|
1201 |
-
border: 1px solid #e1e4e8;
|
1202 |
-
text-align: justify; /* 添加文字對齊 */
|
1203 |
-
word-wrap: break-word; /* 確保長文字會換行 */
|
1204 |
-
word-spacing: 1px; /* 加入字間距 */
|
1205 |
-
}
|
1206 |
-
|
1207 |
-
/* 工具提示改進 */
|
1208 |
-
.tooltip {
|
1209 |
-
position: relative;
|
1210 |
-
display: inline-flex;
|
1211 |
-
align-items: center;
|
1212 |
-
gap: 4px;
|
1213 |
-
cursor: help;
|
1214 |
-
padding: 5px 0;
|
1215 |
-
}
|
1216 |
-
|
1217 |
-
.tooltip .tooltip-text {
|
1218 |
-
visibility: hidden;
|
1219 |
-
width: 280px;
|
1220 |
-
background-color: rgba(44, 62, 80, 0.95);
|
1221 |
-
color: white;
|
1222 |
-
text-align: left;
|
1223 |
-
border-radius: 8px;
|
1224 |
-
padding: 12px 15px;
|
1225 |
-
position: absolute;
|
1226 |
-
z-index: 1000;
|
1227 |
-
bottom: calc(100% + 15px);
|
1228 |
-
left: 50%;
|
1229 |
-
transform: translateX(-50%);
|
1230 |
-
opacity: 0;
|
1231 |
-
transition: all 0.3s ease;
|
1232 |
-
font-size: 14px;
|
1233 |
-
line-height: 1.4;
|
1234 |
-
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.2);
|
1235 |
-
white-space: normal;
|
1236 |
-
}
|
1237 |
-
|
1238 |
-
.tooltip:hover .tooltip-text {
|
1239 |
-
visibility: visible;
|
1240 |
-
opacity: 1;
|
1241 |
-
}
|
1242 |
-
|
1243 |
-
.score-badge {
|
1244 |
-
background-color: #34C759;
|
1245 |
-
color: white;
|
1246 |
-
padding: 6px 12px;
|
1247 |
-
border-radius: 20px;
|
1248 |
-
font-size: 0.9em;
|
1249 |
-
margin-left: 10px;
|
1250 |
-
font-weight: 500;
|
1251 |
-
box-shadow: 0 2px 4px rgba(52, 199, 89, 0.2);
|
1252 |
-
}
|
1253 |
|
1254 |
-
|
1255 |
-
|
1256 |
-
|
1257 |
-
padding: 10px;
|
1258 |
-
}
|
1259 |
|
1260 |
-
|
1261 |
-
|
1262 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1263 |
|
1264 |
-
|
1265 |
-
|
1266 |
-
padding: 24px;
|
1267 |
-
background-color: #f8f9fb;
|
1268 |
-
border-radius: 12px;
|
1269 |
-
border: 1px solid #e1e4e8;
|
1270 |
-
}
|
1271 |
|
1272 |
-
|
1273 |
-
|
1274 |
-
|
1275 |
-
margin-bottom: 20px;
|
1276 |
-
display: flex;
|
1277 |
-
align-items: center;
|
1278 |
-
gap: 8px;
|
1279 |
-
color: #2c3e50;
|
1280 |
-
}
|
1281 |
|
1282 |
-
|
1283 |
-
|
1284 |
-
padding: 24px;
|
1285 |
-
border-radius: 8px;
|
1286 |
-
margin: 15px 0;
|
1287 |
-
border: 1px solid #e1e4e8;
|
1288 |
-
}
|
1289 |
|
1290 |
-
|
1291 |
-
|
1292 |
-
|
1293 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1294 |
|
1295 |
-
|
1296 |
-
|
1297 |
-
|
1298 |
-
|
1299 |
-
|
1300 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1301 |
|
1302 |
-
|
1303 |
-
|
1304 |
-
|
|
|
|
|
1305 |
|
1306 |
-
|
1307 |
-
|
1308 |
-
|
1309 |
-
|
1310 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1311 |
|
1312 |
-
|
1313 |
-
|
1314 |
-
|
1315 |
-
|
1316 |
-
|
|
|
|
|
1317 |
|
1318 |
-
|
1319 |
-
|
1320 |
-
|
1321 |
-
|
1322 |
-
|
1323 |
-
|
1324 |
|
1325 |
-
|
1326 |
-
|
1327 |
-
|
1328 |
-
|
1329 |
-
|
1330 |
-
|
1331 |
-
|
1332 |
-
margin: 6px 0;
|
1333 |
-
padding-left: 20px;
|
1334 |
-
position: relative;
|
1335 |
-
color: #888; /* 統一設定灰色 */
|
1336 |
-
font-size: 0.95rem;
|
1337 |
-
line-height: 1.5;
|
1338 |
-
font-style: italic;
|
1339 |
-
}
|
1340 |
-
|
1341 |
-
.health-disclaimer p:before {
|
1342 |
-
content: "›";
|
1343 |
-
position: absolute;
|
1344 |
-
left: 0;
|
1345 |
-
color: #999;
|
1346 |
-
font-style: normal;
|
1347 |
-
font-weight: 500;
|
1348 |
-
}
|
1349 |
-
|
1350 |
-
.health-disclaimer p:first-child {
|
1351 |
-
font-style: normal; /* 取消斜體 */
|
1352 |
-
font-weight: 500; /* 加粗 */
|
1353 |
-
color: #666; /* 稍深的灰色 */
|
1354 |
-
}
|
1355 |
-
|
1356 |
-
.health-disclaimer p span,
|
1357 |
-
.health-disclaimer p strong,
|
1358 |
-
.health-disclaimer p em {
|
1359 |
-
color: inherit;
|
1360 |
-
}
|
1361 |
|
1362 |
-
|
1363 |
-
|
1364 |
-
|
1365 |
-
|
1366 |
-
<h1 style='font-size: 2.5em; margin-bottom: 10px; color: #2D3748;'>
|
1367 |
-
🐾 PawMatch AI
|
1368 |
-
</h1>
|
1369 |
-
<h2 style='font-size: 1.2em; font-weight: normal; color: #4A5568; margin-top: 5px;'>
|
1370 |
-
Your Smart Dog Breed Guide
|
1371 |
-
</h2>
|
1372 |
-
<div style='width: 50px; height: 3px; background: linear-gradient(90deg, #4299e1, #48bb78); margin: 15px auto;'></div>
|
1373 |
-
<p style='color: #718096; font-size: 0.9em;'>
|
1374 |
-
Powered by AI • Breed Recognition • Smart Matching • Companion Guide
|
1375 |
-
</p>
|
1376 |
-
</header>
|
1377 |
-
""")
|
1378 |
-
|
1379 |
-
# 使用 Tabs 來分隔兩個功能
|
1380 |
-
with gr.Tabs():
|
1381 |
-
# 第一個 Tab:原有的辨識功能
|
1382 |
-
with gr.TabItem("Breed Detection"):
|
1383 |
-
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>")
|
1384 |
-
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>")
|
1385 |
-
|
1386 |
-
with gr.Row():
|
1387 |
-
input_image = gr.Image(label="Upload a dog image", type="pil")
|
1388 |
-
output_image = gr.Image(label="Annotated Image")
|
1389 |
-
|
1390 |
-
output = gr.HTML(label="Prediction Results")
|
1391 |
-
initial_state = gr.State()
|
1392 |
-
|
1393 |
-
input_image.change(
|
1394 |
-
predict,
|
1395 |
-
inputs=input_image,
|
1396 |
-
outputs=[output, output_image, initial_state]
|
1397 |
-
)
|
1398 |
|
1399 |
-
|
1400 |
-
|
1401 |
-
|
1402 |
-
|
|
|
|
|
1403 |
|
1404 |
-
# 第二個 Tab:品種比較功能
|
1405 |
-
with gr.TabItem("Breed Comparison"):
|
1406 |
-
gr.HTML("<p style='text-align: center;'>Select two dog breeds to compare their characteristics and care requirements.</p>")
|
1407 |
|
1408 |
-
|
1409 |
-
|
1410 |
-
|
1411 |
-
|
1412 |
-
|
1413 |
-
|
1414 |
-
|
1415 |
-
|
1416 |
-
|
1417 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
1418 |
)
|
1419 |
|
1420 |
-
|
1421 |
-
|
1422 |
-
|
1423 |
-
|
1424 |
-
|
1425 |
-
|
1426 |
-
|
1427 |
-
|
1428 |
-
|
1429 |
-
|
1430 |
-
|
1431 |
-
|
1432 |
-
|
1433 |
-
|
1434 |
-
|
1435 |
-
|
1436 |
-
|
1437 |
-
|
1438 |
-
|
1439 |
-
|
1440 |
-
|
1441 |
-
|
1442 |
-
|
1443 |
-
|
1444 |
-
|
1445 |
-
|
1446 |
-
|
1447 |
-
|
1448 |
-
|
1449 |
-
|
1450 |
-
|
1451 |
-
|
1452 |
-
|
1453 |
-
<span class="tooltip">
|
1454 |
-
<span class="icon">✂️</span>
|
1455 |
-
<span class="label">Grooming:</span>
|
1456 |
-
<span class="value">{breed1_info['Grooming Needs']}</span>
|
1457 |
-
</span>
|
1458 |
-
</div>
|
1459 |
-
<div class="info-item">
|
1460 |
-
<span class="tooltip">
|
1461 |
-
<span class="icon">👨👩👧👦</span>
|
1462 |
-
<span class="label">Good with Children:</span>
|
1463 |
-
<span class="value">{breed1_info['Good with Children']}</span>
|
1464 |
-
</span>
|
1465 |
-
</div>
|
1466 |
-
</div>
|
1467 |
-
</div>
|
1468 |
|
1469 |
-
|
1470 |
-
|
1471 |
-
|
1472 |
-
|
1473 |
-
|
1474 |
-
|
1475 |
-
|
1476 |
-
|
1477 |
-
|
1478 |
-
|
1479 |
-
|
1480 |
-
|
1481 |
-
|
1482 |
-
|
1483 |
-
|
1484 |
-
|
1485 |
-
|
1486 |
-
|
1487 |
-
|
1488 |
-
|
1489 |
-
<span class="tooltip">
|
1490 |
-
<span class="icon">✂️</span>
|
1491 |
-
<span class="label">Grooming:</span>
|
1492 |
-
<span class="value">{breed2_info['Grooming Needs']}</span>
|
1493 |
-
</span>
|
1494 |
-
</div>
|
1495 |
-
<div class="info-item">
|
1496 |
-
<span class="tooltip">
|
1497 |
-
<span class="icon">👨👩👧👦</span>
|
1498 |
-
<span class="label">Good with Children:</span>
|
1499 |
-
<span class="value">{breed2_info['Good with Children']}</span>
|
1500 |
-
</span>
|
1501 |
-
</div>
|
1502 |
-
</div>
|
1503 |
-
</div>
|
1504 |
-
</div>
|
1505 |
-
</div>
|
1506 |
-
"""
|
1507 |
-
return html_output
|
1508 |
|
1509 |
-
|
1510 |
-
show_comparison,
|
1511 |
-
inputs=[breed1_dropdown, breed2_dropdown],
|
1512 |
-
outputs=comparison_output
|
1513 |
-
)
|
1514 |
|
1515 |
-
# 第三個 Tab:品種推薦功能
|
1516 |
-
with gr.TabItem("Breed Recommendation"):
|
1517 |
-
gr.HTML("<p style='text-align: center;'>Tell us about your lifestyle, and we'll recommend the perfect dog breeds for you!</p>")
|
1518 |
-
|
1519 |
-
with gr.Row():
|
1520 |
-
with gr.Column():
|
1521 |
-
living_space = gr.Radio(
|
1522 |
-
choices=["apartment", "house_small", "house_large"],
|
1523 |
-
label="What type of living space do you have?",
|
1524 |
-
info="Choose your current living situation",
|
1525 |
-
value="apartment"
|
1526 |
-
)
|
1527 |
-
|
1528 |
-
exercise_time = gr.Slider(
|
1529 |
-
minimum=0,
|
1530 |
-
maximum=180,
|
1531 |
-
value=60,
|
1532 |
-
label="Daily exercise time (minutes)",
|
1533 |
-
info="Consider walks, play time, and training"
|
1534 |
-
)
|
1535 |
-
|
1536 |
-
grooming_commitment = gr.Radio(
|
1537 |
-
choices=["low", "medium", "high"],
|
1538 |
-
label="Grooming commitment level",
|
1539 |
-
info="Low: monthly, Medium: weekly, High: daily",
|
1540 |
-
value="medium"
|
1541 |
-
)
|
1542 |
-
|
1543 |
-
with gr.Column():
|
1544 |
-
experience_level = gr.Radio(
|
1545 |
-
choices=["beginner", "intermediate", "advanced"],
|
1546 |
-
label="Dog ownership experience",
|
1547 |
-
info="Be honest - this helps find the right match",
|
1548 |
-
value="beginner"
|
1549 |
-
)
|
1550 |
-
|
1551 |
-
has_children = gr.Checkbox(
|
1552 |
-
label="Have children at home",
|
1553 |
-
info="Helps recommend child-friendly breeds"
|
1554 |
-
)
|
1555 |
-
|
1556 |
-
noise_tolerance = gr.Radio(
|
1557 |
-
choices=["low", "medium", "high"],
|
1558 |
-
label="Noise tolerance level",
|
1559 |
-
info="Some breeds are more vocal than others",
|
1560 |
-
value="medium"
|
1561 |
-
)
|
1562 |
-
|
1563 |
-
|
1564 |
-
# 設置按鈕的點擊事件
|
1565 |
-
get_recommendations_btn = gr.Button("Find My Perfect Match! 🔍", variant="primary")
|
1566 |
-
recommendation_output = gr.HTML(label="Breed Recommendations")
|
1567 |
-
|
1568 |
-
def process_recommendations(living_space, exercise_time, grooming_commitment,
|
1569 |
-
experience_level, has_children, noise_tolerance):
|
1570 |
-
try:
|
1571 |
-
user_prefs = UserPreferences(
|
1572 |
-
living_space=living_space,
|
1573 |
-
exercise_time=exercise_time,
|
1574 |
-
grooming_commitment=grooming_commitment,
|
1575 |
-
experience_level=experience_level,
|
1576 |
-
has_children=has_children,
|
1577 |
-
noise_tolerance=noise_tolerance,
|
1578 |
-
space_for_play=True if living_space != "apartment" else False,
|
1579 |
-
other_pets=False,
|
1580 |
-
climate="moderate"
|
1581 |
-
)
|
1582 |
-
|
1583 |
-
recommendations = get_breed_recommendations(user_prefs)
|
1584 |
-
return format_recommendation_html(recommendations)
|
1585 |
-
except Exception as e:
|
1586 |
-
print(f"Error in process_recommendations: {str(e)}")
|
1587 |
-
return f"An error occurred: {str(e)}"
|
1588 |
-
|
1589 |
-
# 這行是關鍵 - 確保按鈕點擊事件有正確連接到處理函數
|
1590 |
-
get_recommendations_btn.click(
|
1591 |
-
fn=process_recommendations, # 處理函數
|
1592 |
-
inputs=[
|
1593 |
-
living_space,
|
1594 |
-
exercise_time,
|
1595 |
-
grooming_commitment,
|
1596 |
-
experience_level,
|
1597 |
-
has_children,
|
1598 |
-
noise_tolerance
|
1599 |
-
],
|
1600 |
-
outputs=recommendation_output # 輸出結果的位置
|
1601 |
-
)
|
1602 |
|
1603 |
-
|
1604 |
|
1605 |
if __name__ == "__main__":
|
1606 |
|
|
|
9 |
from torchvision import transforms
|
10 |
from PIL import Image, ImageDraw, ImageFont, ImageFilter
|
11 |
from data_manager import get_dog_description, UserPreferences, get_breed_recommendations, format_recommendation_html
|
12 |
+
from history_manager import UserHistoryManager
|
13 |
+
from search_history import create_history_tab
|
14 |
+
from styles import get_css_styles
|
15 |
from urllib.parse import quote
|
16 |
from ultralytics import YOLO
|
17 |
import asyncio
|
|
|
20 |
|
21 |
model_yolo = YOLO('yolov8l.pt')
|
22 |
|
23 |
+
history_manager = UserHistoryManager()
|
24 |
|
25 |
dog_breeds = ["Afghan_Hound", "African_Hunting_Dog", "Airedale", "American_Staffordshire_Terrier",
|
26 |
"Appenzeller", "Australian_Terrier", "Bedlington_Terrier", "Bernese_Mountain_Dog",
|
|
|
108 |
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
|
109 |
model = BaseModel(num_classes=num_classes, device=device)
|
110 |
|
111 |
+
checkpoint = torch.load('/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/(120)best_model/best_model_81_dog.pth', map_location=torch.device('cpu'))
|
112 |
model.load_state_dict(checkpoint['model_state_dict'])
|
113 |
|
114 |
# evaluation mode
|
|
|
275 |
|
276 |
|
277 |
def create_breed_comparison(breed1: str, breed2: str) -> dict:
|
|
|
278 |
breed1_info = get_dog_description(breed1)
|
279 |
breed2_info = get_dog_description(breed2)
|
280 |
|
|
|
733 |
'''
|
734 |
return html
|
735 |
|
736 |
+
with gr.Blocks(css=get_css_styles()) as iface:
|
737 |
+
|
738 |
+
gr.HTML("""
|
739 |
+
<header style='text-align: center; padding: 20px; margin-bottom: 20px;'>
|
740 |
+
<h1 style='font-size: 2.5em; margin-bottom: 10px; color: #2D3748;'>
|
741 |
+
🐾 PawMatch AI
|
742 |
+
</h1>
|
743 |
+
<h2 style='font-size: 1.2em; font-weight: normal; color: #4A5568; margin-top: 5px;'>
|
744 |
+
Your Smart Dog Breed Guide
|
745 |
+
</h2>
|
746 |
+
<div style='width: 50px; height: 3px; background: linear-gradient(90deg, #4299e1, #48bb78); margin: 15px auto;'></div>
|
747 |
+
<p style='color: #718096; font-size: 0.9em;'>
|
748 |
+
Powered by AI • Breed Recognition • Smart Matching • Companion Guide
|
749 |
+
</p>
|
750 |
+
</header>
|
751 |
+
""")
|
752 |
+
|
753 |
+
# 使用 Tabs 來分隔兩個功能
|
754 |
+
with gr.Tabs():
|
755 |
+
# 第一個 Tab:原有的辨識功能
|
756 |
+
with gr.TabItem("Breed Detection"):
|
757 |
+
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>")
|
758 |
+
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>")
|
759 |
+
|
760 |
+
with gr.Row():
|
761 |
+
input_image = gr.Image(label="Upload a dog image", type="pil")
|
762 |
+
output_image = gr.Image(label="Annotated Image")
|
763 |
+
|
764 |
+
output = gr.HTML(label="Prediction Results")
|
765 |
+
initial_state = gr.State()
|
766 |
+
|
767 |
+
input_image.change(
|
768 |
+
predict,
|
769 |
+
inputs=input_image,
|
770 |
+
outputs=[output, output_image, initial_state]
|
771 |
+
)
|
772 |
|
773 |
+
gr.Examples(
|
774 |
+
examples=['/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/Border_Collie.jpg',
|
775 |
+
'/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/Golden_Retriever.jpeg',
|
776 |
+
'/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/Saint_Bernard.jpeg',
|
777 |
+
'/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/Samoyed.jpg',
|
778 |
+
'/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/French_Bulldog.jpeg'],
|
779 |
+
inputs=input_image
|
780 |
+
)
|
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|
|
|
|
|
781 |
|
782 |
+
# 第二個 Tab:品種比較功能
|
783 |
+
with gr.TabItem("Breed Comparison"):
|
784 |
+
gr.HTML("<p style='text-align: center;'>Select two dog breeds to compare their characteristics and care requirements.</p>")
|
|
|
|
|
785 |
|
786 |
+
with gr.Row():
|
787 |
+
breed1_dropdown = gr.Dropdown(
|
788 |
+
choices=dog_breeds,
|
789 |
+
label="Select First Breed",
|
790 |
+
value="Golden_Retriever"
|
791 |
+
)
|
792 |
+
breed2_dropdown = gr.Dropdown(
|
793 |
+
choices=dog_breeds,
|
794 |
+
label="Select Second Breed",
|
795 |
+
value="Border_Collie"
|
796 |
+
)
|
797 |
|
798 |
+
compare_btn = gr.Button("Compare Breeds")
|
799 |
+
comparison_output = gr.HTML(label="Comparison Results")
|
|
|
|
|
|
|
|
|
|
|
800 |
|
801 |
+
def show_comparison(breed1, breed2):
|
802 |
+
if not breed1 or not breed2:
|
803 |
+
return "Please select two breeds to compare"
|
|
|
|
|
|
|
|
|
|
|
|
|
804 |
|
805 |
+
breed1_info = get_dog_description(breed1)
|
806 |
+
breed2_info = get_dog_description(breed2)
|
|
|
|
|
|
|
|
|
|
|
807 |
|
808 |
+
html_output = f"""
|
809 |
+
<div class="dog-info-card">
|
810 |
+
<div class="comparison-grid" style="display: grid; grid-template-columns: 1fr 1fr; gap: 20px;">
|
811 |
+
<div class="breed-info">
|
812 |
+
<h2 class="section-title">
|
813 |
+
<span class="icon">🐕</span> {breed1.replace('_', ' ')}
|
814 |
+
</h2>
|
815 |
+
<div class="info-section">
|
816 |
+
<div class="info-item">
|
817 |
+
<span class="tooltip">
|
818 |
+
<span class="icon">📏</span>
|
819 |
+
<span class="label">Size:</span>
|
820 |
+
<span class="value">{breed1_info['Size']}</span>
|
821 |
+
</span>
|
822 |
+
</div>
|
823 |
+
<div class="info-item">
|
824 |
+
<span class="tooltip">
|
825 |
+
<span class="icon">🏃</span>
|
826 |
+
<span class="label">Exercise Needs:</span>
|
827 |
+
<span class="value">{breed1_info['Exercise Needs']}</span>
|
828 |
+
</span>
|
829 |
+
</div>
|
830 |
+
<div class="info-item">
|
831 |
+
<span class="tooltip">
|
832 |
+
<span class="icon">✂️</span>
|
833 |
+
<span class="label">Grooming:</span>
|
834 |
+
<span class="value">{breed1_info['Grooming Needs']}</span>
|
835 |
+
</span>
|
836 |
+
</div>
|
837 |
+
<div class="info-item">
|
838 |
+
<span class="tooltip">
|
839 |
+
<span class="icon">👨👩👧👦</span>
|
840 |
+
<span class="label">Good with Children:</span>
|
841 |
+
<span class="value">{breed1_info['Good with Children']}</span>
|
842 |
+
</span>
|
843 |
+
</div>
|
844 |
+
</div>
|
845 |
+
</div>
|
846 |
|
847 |
+
<div class="breed-info">
|
848 |
+
<h2 class="section-title">
|
849 |
+
<span class="icon">🐕</span> {breed2.replace('_', ' ')}
|
850 |
+
</h2>
|
851 |
+
<div class="info-section">
|
852 |
+
<div class="info-item">
|
853 |
+
<span class="tooltip">
|
854 |
+
<span class="icon">📏</span>
|
855 |
+
<span class="label">Size:</span>
|
856 |
+
<span class="value">{breed2_info['Size']}</span>
|
857 |
+
</span>
|
858 |
+
</div>
|
859 |
+
<div class="info-item">
|
860 |
+
<span class="tooltip">
|
861 |
+
<span class="icon">🏃</span>
|
862 |
+
<span class="label">Exercise Needs:</span>
|
863 |
+
<span class="value">{breed2_info['Exercise Needs']}</span>
|
864 |
+
</span>
|
865 |
+
</div>
|
866 |
+
<div class="info-item">
|
867 |
+
<span class="tooltip">
|
868 |
+
<span class="icon">✂️</span>
|
869 |
+
<span class="label">Grooming:</span>
|
870 |
+
<span class="value">{breed2_info['Grooming Needs']}</span>
|
871 |
+
</span>
|
872 |
+
</div>
|
873 |
+
<div class="info-item">
|
874 |
+
<span class="tooltip">
|
875 |
+
<span class="icon">👨👩👧👦</span>
|
876 |
+
<span class="label">Good with Children:</span>
|
877 |
+
<span class="value">{breed2_info['Good with Children']}</span>
|
878 |
+
</span>
|
879 |
+
</div>
|
880 |
+
</div>
|
881 |
+
</div>
|
882 |
+
</div>
|
883 |
+
</div>
|
884 |
+
"""
|
885 |
+
return html_output
|
886 |
|
887 |
+
compare_btn.click(
|
888 |
+
show_comparison,
|
889 |
+
inputs=[breed1_dropdown, breed2_dropdown],
|
890 |
+
outputs=comparison_output
|
891 |
+
)
|
892 |
|
893 |
+
# 第三個 Tab:品種推薦功能
|
894 |
+
# history_component = create_history_tab()
|
895 |
+
with gr.TabItem("Breed Recommendation"):
|
896 |
+
gr.HTML("<p style='text-align: center;'>Tell us about your lifestyle, and we'll recommend the perfect dog breeds for you!</p>")
|
897 |
+
|
898 |
+
with gr.Row():
|
899 |
+
with gr.Column():
|
900 |
+
living_space = gr.Radio(
|
901 |
+
choices=["apartment", "house_small", "house_large"],
|
902 |
+
label="What type of living space do you have?",
|
903 |
+
info="Choose your current living situation",
|
904 |
+
value="apartment"
|
905 |
+
)
|
906 |
|
907 |
+
exercise_time = gr.Slider(
|
908 |
+
minimum=0,
|
909 |
+
maximum=180,
|
910 |
+
value=60,
|
911 |
+
label="Daily exercise time (minutes)",
|
912 |
+
info="Consider walks, play time, and training"
|
913 |
+
)
|
914 |
|
915 |
+
grooming_commitment = gr.Radio(
|
916 |
+
choices=["low", "medium", "high"],
|
917 |
+
label="Grooming commitment level",
|
918 |
+
info="Low: monthly, Medium: weekly, High: daily",
|
919 |
+
value="medium"
|
920 |
+
)
|
921 |
|
922 |
+
with gr.Column():
|
923 |
+
experience_level = gr.Radio(
|
924 |
+
choices=["beginner", "intermediate", "advanced"],
|
925 |
+
label="Dog ownership experience",
|
926 |
+
info="Be honest - this helps find the right match",
|
927 |
+
value="beginner"
|
928 |
+
)
|
|
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|
|
929 |
|
930 |
+
has_children = gr.Checkbox(
|
931 |
+
label="Have children at home",
|
932 |
+
info="Helps recommend child-friendly breeds"
|
933 |
+
)
|
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|
934 |
|
935 |
+
noise_tolerance = gr.Radio(
|
936 |
+
choices=["low", "medium", "high"],
|
937 |
+
label="Noise tolerance level",
|
938 |
+
info="Some breeds are more vocal than others",
|
939 |
+
value="medium"
|
940 |
+
)
|
941 |
|
|
|
|
|
|
|
942 |
|
943 |
+
# 設置按鈕的點擊事件
|
944 |
+
get_recommendations_btn = gr.Button("Find My Perfect Match! 🔍", variant="primary")
|
945 |
+
recommendation_output = gr.HTML(label="Breed Recommendations")
|
946 |
+
|
947 |
+
def on_find_match_click(*args):
|
948 |
+
try:
|
949 |
+
user_prefs = UserPreferences(
|
950 |
+
living_space=args[0],
|
951 |
+
exercise_time=args[1],
|
952 |
+
grooming_commitment=args[2],
|
953 |
+
experience_level=args[3],
|
954 |
+
has_children=args[4],
|
955 |
+
noise_tolerance=args[5],
|
956 |
+
space_for_play=True if args[0] != "apartment" else False,
|
957 |
+
other_pets=False,
|
958 |
+
climate="moderate"
|
959 |
)
|
960 |
|
961 |
+
# 取得推薦結果
|
962 |
+
recommendations = get_breed_recommendations(user_prefs)
|
963 |
+
|
964 |
+
print("Debug - Recommendations received:")
|
965 |
+
for rec in recommendations:
|
966 |
+
print(f"#{rec['rank']} {rec['breed']}: {rec['final_score']:.4f}")
|
967 |
+
|
968 |
+
# 修改這裡:確保保存完整的推薦資訊
|
969 |
+
history_results = [{
|
970 |
+
'breed': rec['breed'],
|
971 |
+
'rank': rec['rank'],
|
972 |
+
'overall_score': rec['final_score'], # 使用 final_score
|
973 |
+
'base_score': rec['base_score'],
|
974 |
+
'bonus_score': rec['bonus_score'],
|
975 |
+
'scores': rec['scores']
|
976 |
+
} for rec in recommendations]
|
977 |
+
|
978 |
+
print("Debug - Preparing to save history:")
|
979 |
+
for res in history_results:
|
980 |
+
print(f"Saving #{res['rank']} {res['breed']}: {res['overall_score']:.4f}")
|
981 |
+
|
982 |
+
|
983 |
+
history_component.save_search(
|
984 |
+
user_preferences={
|
985 |
+
'living_space': args[0],
|
986 |
+
'exercise_time': args[1],
|
987 |
+
'grooming_commitment': args[2],
|
988 |
+
'experience_level': args[3],
|
989 |
+
'has_children': args[4],
|
990 |
+
'noise_tolerance': args[5]
|
991 |
+
},
|
992 |
+
results=history_results
|
993 |
+
)
|
|
|
|
|
|
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|
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|
|
|
|
|
|
994 |
|
995 |
+
return format_recommendation_html(recommendations)
|
996 |
+
|
997 |
+
except Exception as e:
|
998 |
+
print(f"Error in find match: {str(e)}")
|
999 |
+
import traceback
|
1000 |
+
print(traceback.format_exc())
|
1001 |
+
return "Error getting recommendations"
|
1002 |
+
|
1003 |
+
get_recommendations_btn.click(
|
1004 |
+
fn=on_find_match_click,
|
1005 |
+
inputs=[
|
1006 |
+
living_space,
|
1007 |
+
exercise_time,
|
1008 |
+
grooming_commitment,
|
1009 |
+
experience_level,
|
1010 |
+
has_children,
|
1011 |
+
noise_tolerance
|
1012 |
+
],
|
1013 |
+
outputs=recommendation_output
|
1014 |
+
)
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
1015 |
|
1016 |
+
history_component = create_history_tab()
|
|
|
|
|
|
|
|
|
1017 |
|
|
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|
|
|
|
|
|
1018 |
|
1019 |
+
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>')
|
1020 |
|
1021 |
if __name__ == "__main__":
|
1022 |
|