app.py

# 免費版台灣上班族穿搭建議系統
# 不需要HuggingFace額度，純本地運行

import gradio as gr
from smolagents import tool

# 工具1：天氣權重計算
@tool
def calculate_weather_impact(temperature: float, humidity: float, rain_chance: float, uv_index: int) -> dict:
    """
    計算天氣因素對穿著的影響權重
    
    Args:
        temperature (float): 當前溫度，單位攝氏度，範圍-10到50
        humidity (float): 當前濕度百分比，範圍0到100
        rain_chance (float): 降雨機率百分比，範圍0到100
        uv_index (int): 紫外線指數，範圍0到15
        
    Returns:
        dict: 包含各種天氣影響權重的字典
    """
    
    # 錯誤檢查
    if temperature < -10 or temperature > 50:
        return {"error": "溫度範圍應在-10°C到50°C之間"}
    if humidity < 0 or humidity > 100:
        return {"error": "濕度應在0%到100%之間"}
    if rain_chance < 0 or rain_chance > 100:
        return {"error": "降雨機率應在0%到100%之間"}
    if uv_index < 0 or uv_index > 15:
        return {"error": "紫外線指數應在0到15之間"}
    
    # 台灣氣候特性權重計算
    weights = {}
    
    # 溫度權重 (台灣標準)
    if temperature <= 15:
        weights["temperature_level"] = "寒冷"
        weights["warmth_need"] = 0.9
    elif temperature <= 20:
        weights["temperature_level"] = "涼爽"
        weights["warmth_need"] = 0.6
    elif temperature <= 28:
        weights["temperature_level"] = "舒適"
        weights["warmth_need"] = 0.3
    elif temperature <= 35:
        weights["temperature_level"] = "炎熱"
        weights["warmth_need"] = 0.1
    else:
        weights["temperature_level"] = "酷熱"
        weights["warmth_need"] = 0.0
    
    # 濕度權重
    if humidity >= 80:
        weights["humidity_level"] = "非常潮濕"
        weights["breathability_need"] = 0.9
    elif humidity >= 70:
        weights["humidity_level"] = "潮濕"
        weights["breathability_need"] = 0.7
    elif humidity >= 60:
        weights["humidity_level"] = "適中"
        weights["breathability_need"] = 0.5
    else:
        weights["humidity_level"] = "乾燥"
        weights["breathability_need"] = 0.3
    
    # 降雨權重
    if rain_chance >= 70:
        weights["rain_level"] = "大雨機率"
        weights["waterproof_need"] = 0.9
    elif rain_chance >= 30:
        weights["rain_level"] = "可能下雨"
        weights["waterproof_need"] = 0.6
    else:
        weights["rain_level"] = "晴天"
        weights["waterproof_need"] = 0.2
    
    # 紫外線權重
    if uv_index >= 8:
        weights["uv_level"] = "過量"
        weights["sun_protection_need"] = 0.9
    elif uv_index >= 6:
        weights["uv_level"] = "高"
        weights["sun_protection_need"] = 0.7
    elif uv_index >= 3:
        weights["uv_level"] = "中等"
        weights["sun_protection_need"] = 0.4
    else:
        weights["uv_level"] = "低"
        weights["sun_protection_need"] = 0.2
    
    return weights

# 工具2：身體狀況分析
@tool
def analyze_body_condition(gender: str, body_temp: float, cold_sensitivity: str, activity_level: str) -> dict:
    """
    分析個人身體狀況對穿著的影響
    
    Args:
        gender (str): 性別，選擇"男性"或"女性"
        body_temp (float): 當前體溫，單位攝氏度，正常範圍35.0-42.0
        cold_sensitivity (str): 體質類型，選擇"怕冷"、"正常"或"怕熱"
        activity_level (str): 工作活動量，選擇"久坐"、"一般"或"頻繁走動"
        
    Returns:
        dict: 包含個人狀況分析結果的字典
    """
    
    if gender not in ["男性", "女性"]:
        return {"error": "性別請選擇：男性 或 女性"}
    if body_temp < 35.0 or body_temp > 42.0:
        return {"error": "體溫範圍應在35.0°C到42.0°C之間"}
    if cold_sensitivity not in ["怕冷", "正常", "怕熱"]:
        return {"error": "體質請選擇：怕冷、正常、怕熱"}
    if activity_level not in ["久坐", "一般", "頻繁走動"]:
        return {"error": "活動量請選擇：久坐、一般、頻繁走動"}
    
    condition = {}
    
    # 體溫調整
    if body_temp >= 38.0:
        condition["health_status"] = "發燒"
        condition["extra_warmth"] = 0.8
    elif body_temp <= 36.0:
        condition["health_status"] = "體溫偏低"
        condition["extra_warmth"] = 0.7
    else:
        condition["health_status"] = "正常"
        condition["extra_warmth"] = 0.0
    
    # 體質調整
    sensitivity_adjustment = {
        "怕冷": 0.3,
        "正常": 0.0,
        "怕熱": -0.3
    }
    condition["sensitivity_adjustment"] = sensitivity_adjustment[cold_sensitivity]
    
    # 活動量調整
    activity_adjustment = {
        "久坐": 0.2,
        "一般": 0.0,
        "頻繁走動": -0.2
    }
    condition["activity_adjustment"] = activity_adjustment[activity_level]
    
    # 性別考量
    if gender == "女性":
        condition["style_options"] = ["裙裝", "褲裝", "洋裝"]
    else:
        condition["style_options"] = ["西裝", "商務休閒"]
    
    return condition

# 工具3：穿搭建議生成
@tool
def generate_outfit_recommendation(weather_weights: dict, body_condition: dict, meeting_importance: str) -> str:
    """
    生成完整的穿搭建議
    
    Args:
        weather_weights (dict): 天氣權重分析結果
        body_condition (dict): 身體狀況分析結果
        meeting_importance (str): 會議重要性，選擇"一般上班"、"重要會議"或"客戶拜訪"
        
    Returns:
        str: 完整的穿搭建議文字
    """
    
    if "error" in weather_weights:
        return f"天氣數據錯誤：{weather_weights['error']}"
    if "error" in body_condition:
        return f"身體狀況錯誤：{body_condition['error']}"
    if meeting_importance not in ["一般上班", "重要會議", "客戶拜訪"]:
        return "會議重要性請選擇：一般上班、重要會議、客戶拜訪"
    
    # 計算總體保暖需求
    total_warmth_need = (
        weather_weights.get("warmth_need", 0.5) + 
        body_condition.get("extra_warmth", 0.0) + 
        body_condition.get("sensitivity_adjustment", 0.0) +
        body_condition.get("activity_adjustment", 0.0)
    )
    
    # 限制在0-1範圍內
    total_warmth_need = max(0.0, min(1.0, total_warmth_need))
    
    # 上衣建議
    if total_warmth_need >= 0.8:
        upper_wear = ["厚外套", "毛衣", "長袖襯衫"]
    elif total_warmth_need >= 0.6:
        upper_wear = ["薄外套", "長袖襯衫", "針織衫"]
    elif total_warmth_need >= 0.4:
        upper_wear = ["長袖襯衫", "薄針織衫"]
    elif total_warmth_need >= 0.2:
        upper_wear = ["短袖襯衫", "薄長袖"]
    else:
        upper_wear = ["短袖襯衫", "無袖上衣"]
    
    # 下裝建議
    gender = "女性" if "裙裝" in body_condition.get("style_options", []) else "男性"
    if gender == "女性":
        if total_warmth_need >= 0.6:
            lower_wear = ["長褲", "長裙配絲襪"]
        elif weather_weights.get("rain_level") == "大雨機率":
            lower_wear = ["長褲"]
        else:
            lower_wear = ["長褲", "及膝裙", "長裙"]
    else:
        lower_wear = ["長褲"]
    
    # 外套建議
    outer_wear = []
    if weather_weights.get("waterproof_need", 0) >= 0.6:
        outer_wear.append("防水外套或雨傘")
    if total_warmth_need >= 0.7:
        outer_wear.append("保暖外套")
    
    # 配件建議
    accessories = []
    if weather_weights.get("sun_protection_need", 0) >= 0.7:
        accessories.append("防曬乳、太陽眼鏡")
    if weather_weights.get("rain_level") == "大雨機率":
        accessories.append("雨傘、防水鞋")
    if total_warmth_need >= 0.8:
        accessories.append("圍巾、手套")
    
    # 根據會議重要性調整
    formality_note = ""
    if meeting_importance == "重要會議":
        formality_note = "\n⚠️ 重要會議建議：選擇較正式的款式，避免過於休閒的搭配"
    elif meeting_importance == "客戶拜訪":
        formality_note = "\n⚠️ 客戶拜訪建議：選擇專業形象，注意配色協調"
    
    # 組合建議
    result = f"🌤️ 今日穿搭建議 (保暖需求指數: {total_warmth_need:.1f})\n\n"
    result += f"👔 上衣：{' 或 '.join(upper_wear)}\n"
    result += f"👖 下裝：{' 或 '.join(lower_wear)}\n"
    
    if outer_wear:
        result += f"🧥 外套：{' + '.join(outer_wear)}\n"
    
    if accessories:
        result += f"👜 配件：{' + '.join(accessories)}\n"
    
    # 天氣提醒
    result += f"\n🌡️ 天氣提醒：\n"
    result += f"- 溫度感受：{weather_weights.get('temperature_level', '未知')}\n"
    result += f"- 濕度狀況：{weather_weights.get('humidity_level', '未知')}\n"
    result += f"- 降雨機率：{weather_weights.get('rain_level', '未知')}\n"
    result += f"- 紫外線：{weather_weights.get('uv_level', '未知')}\n"
    
    # 個人化提醒
    if body_condition.get("health_status") != "正常":
        result += f"\n🏥 健康提醒：{body_condition['health_status']}，建議多注意保暖\n"
    
    result += formality_note
    
    return result

# 免費版穿搭顧問類別 (不需要LLM)
class FreeOutfitAdvisor:
    """免費版穿搭顧問，無需LLM額度"""
    
    def __init__(self):
        self.tools = {
            'weather': calculate_weather_impact,
            'body': analyze_body_condition,
            'outfit': generate_outfit_recommendation
        }
    
    def get_recommendation(self, temp, humidity, rain, uv, gender, body_temp, sensitivity, activity, meeting):
        """獲取穿搭建議"""
        weather_result = self.tools['weather'](temp, humidity, rain, uv)
        body_result = self.tools['body'](gender, body_temp, sensitivity, activity)
        recommendation = self.tools['outfit'](weather_result, body_result, meeting)
        return recommendation

# 創建全域顧問實例
advisor = FreeOutfitAdvisor()

# Gradio 介面函數
def outfit_advice_interface(temperature, humidity, rain_chance, uv_index, gender, body_temp, cold_sensitivity, activity_level, meeting_importance):
    """Gradio 介面主函數"""
    try:
        result = advisor.get_recommendation(
            temp=float(temperature),
            humidity=float(humidity), 
            rain=float(rain_chance),
            uv=int(uv_index),
            gender=gender,
            body_temp=float(body_temp),
            sensitivity=cold_sensitivity,
            activity=activity_level,
            meeting=meeting_importance
        )
        return result
    except Exception as e:
        return f"❌ 發生錯誤：{str(e)}\n請檢查輸入數值是否正確。"

# 創建 Gradio 介面
with gr.Blocks(title="台灣上班族穿搭AI顧問", theme=gr.themes.Soft()) as demo:
    
    gr.Markdown("# 🎯 台灣上班族穿搭AI顧問")
    gr.Markdown("根據天氣、個人狀況和工作需求，為您量身打造最適合的穿搭建議！")
    
    with gr.Row():
        with gr.Column():
            gr.Markdown("## 🌤️ 天氣資訊")
            temperature = gr.Slider(
                minimum=-10, maximum=50, value=25, step=0.5,
                label="溫度 (°C)", info="當前溫度"
            )
            humidity = gr.Slider(
                minimum=0, maximum=100, value=70, step=1,
                label="濕度 (%)", info="空氣濕度百分比"
            )
            rain_chance = gr.Slider(
                minimum=0, maximum=100, value=30, step=5,
                label="降雨機率 (%)", info="今日降雨可能性"
            )
            uv_index = gr.Slider(
                minimum=0, maximum=15, value=5, step=1,
                label="紫外線指數", info="UV指數 (0-15)"
            )
            
        with gr.Column():
            gr.Markdown("## 👤 個人資訊")
            gender = gr.Radio(
                choices=["男性", "女性"], value="女性",
                label="性別", info="影響穿搭風格選擇"
            )
            body_temp = gr.Slider(
                minimum=35.0, maximum=42.0, value=36.5, step=0.1,
                label="體溫 (°C)", info="當前體溫狀況"
            )
            cold_sensitivity = gr.Radio(
                choices=["怕冷", "正常", "怕熱"], value="正常",
                label="體質類型", info="個人冷熱感受"
            )
            activity_level = gr.Radio(
                choices=["久坐", "一般", "頻繁走動"], value="一般",
                label="工作活動量", info="今日活動程度"
            )
            meeting_importance = gr.Radio(
                choices=["一般上班", "重要會議", "客戶拜訪"], value="一般上班",
                label="會議重要性", info="影響正式程度"
            )
    
    with gr.Row():
        submit_btn = gr.Button("🎯 生成穿搭建議", variant="primary", size="lg")
        clear_btn = gr.Button("🔄 重置", variant="secondary", size="lg")
    
    with gr.Row():
        output = gr.Textbox(
            label="📋 穿搭建議結果",
            lines=15,
            max_lines=20,
            placeholder="點擊「生成穿搭建議」按鈕來獲取個人化建議..."
        )
    
    # 按鈕事件
    submit_btn.click(
        fn=outfit_advice_interface,
        inputs=[
            temperature, humidity, rain_chance, uv_index,
            gender, body_temp, cold_sensitivity, activity_level, meeting_importance
        ],
        outputs=output
    )
    
    clear_btn.click(
        fn=lambda: [25, 70, 30, 5, "女性", 36.5, "正常", "一般", "一般上班", ""],
        outputs=[
            temperature, humidity, rain_chance, uv_index,
            gender, body_temp, cold_sensitivity, activity_level, meeting_importance, output
        ]
    )
    
    # 預設示例
    gr.Markdown("## 💡 使用提示")
    gr.Markdown("""
    - **天氣資訊**：可參考氣象局或天氣App的數據
    - **個人資訊**：根據實際狀況調整，體溫正常範圍35-37°C
    - **會議重要性**：影響穿搭的正式程度選擇
    - **系統特色**：專為台灣氣候和上班族需求設計
    """)

# 啟動應用
if __name__ == "__main__":
    demo.launch(share=True)