Add application file

app.py

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+import gradio as gr
+import requests
+import random
+from geopy.geocoders import Nominatim
+import os
+from huggingface_hub import InferenceClient
+
+HF_TOKEN = os.environ.get("HF_TOKEN")
+client = InferenceClient(api_key=HF_TOKEN)
+
+# 餐點推薦資料庫（根據情緒和天氣）
+meal_recommendations = {
+    "開心": {
+        "cold": ["小籠包", "燉牛肉", "泡麵", "玉米濃湯"],
+        "hot": ["雪花冰", "氣水", "涼麵", "西瓜"],
+        "normal": ["炸雞配汽水", "壽喜燒", "韓式烤肉"]
+    },
+    "羞愧": {
+        "cold": ["抹茶", "清淡的米粥", "唐心蛋"],
+        "hot": ["蔬菜沙拉", "冷飲", "玉米餅"],
+        "normal": ["全麥麵包", "藍莓、草莓、橙子", "蒸包子"]
+    },
+    "憤怒": {
+        "cold": ["暖呼呼的火鍋", "熱可可", "麻辣湯"],
+        "hot": ["冰沙", "涼拌黃瓜", "水果"],
+        "normal": ["炸雞", "巧克力", "薰衣草茶"]
+    },
+    "悲傷": {
+        "cold": ["雞湯", "清淡的米粥", "餅乾"],
+        "hot": ["冷湯", "冰棒", "三明治"],
+        "normal": ["牛排", "雞蛋", "波士頓派"]
+    },
+    "忌妒": {
+        "cold": ["熱狗","拉麵","泡麵"],
+        "hot": ["蔬菜沙拉", "冷飲",],
+        "normal": ["奶酥麵包","橙子","pizza"]
+    },
+    "恐懼": {
+        "cold": ["湯泡飯", "泡麵", "湯麵"],
+        "hot": ["涼麵", "飲料", "冰淇淋"],
+        "normal": ["爆米花", "薯片", "牛排"]
+    }
+}
+
+# 主功能函式
+def recommend_meal(emotion, city):
+    temp, weather_info = get_weather(city)
+    
+    if temp is None:
+        return "Unable to fetch weather details. Please check if the city name is correct.", "", ""
+
+    # 根據情緒和氣候選擇餐點
+    # 請自行完成挑選餐點的邏輯
+    if temp < 15:
+       climate = "cold"
+    elif temp > 28:
+       climate = "hot"
+    else:
+       climate = "normal"
+
+    meals = meal_recommendations.get(emotion, {}).get(climate, ["隨意料理"])
+    meal= random.choice(meals)
+
+    # 生成暖心話語
+    comforting_message = generate_comforting_message(emotion)
+
+    recommendation = f"Today's Top Pick: {meal}"
+
+    return f"Current Weather：\n{weather_info}", recommendation, comforting_message
+
+def get_weather(city):
+    geolocator = Nominatim(user_agent="geoapi")
+    location = geolocator.geocode(city)
+
+    if location:
+        lat, lon = location.latitude, location.longitude
+        # 使用 Open-Meteo API 取得天氣數據
+        weather_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
+        weather_response = requests.get(weather_url)
+        if weather_response.status_code == 200:
+            weather_data = weather_response.json()
+            temp, temp_unit = weather_data['current_weather']['temperature'], weather_data['current_weather_units']['temperature']
+            windspeed, windspeed_unit = weather_data['current_weather']['windspeed'], weather_data['current_weather_units']['windspeed']
+            weather_desc = f"{temp}{temp_unit}，Wind speed: {windspeed} {windspeed_unit}"
+            return temp, weather_desc
+    else:
+        return None, None
+
+# 生成暖心話語的函式
+def generate_comforting_message(emotion):
+    temperature, top_p = random.uniform(0.6, 0.75), random.uniform(0.7, 1.0)
+    completion = client.chat.completions.create(
+        model="mistralai/Mistral-Nemo-Instruct-2407",
+        messages=[{
+            "role": "system",
+            "content": "你是一位善解人意且富有同理心的 AI 助理，專門為人們提供鼓勵和安慰。無論使用者的情緒如何，你都能給予真摯、溫暖且鼓舞人心的話語，讓他們感到被理解和支持。請用溫柔、真誠且富有啟發性的語氣回應，並確保所有回覆都以**繁體中文**撰寫。"
+        }, {
+            "role": "user",
+            "content": f"我現在感到{emotion}，請給我一句鼓勵的話。\n"
+        }],
+        temperature=temperature,
+        max_tokens=2048,
+        top_p=top_p,
+    )
+
+    return completion.choices[0].message.content
+
+# Gradio 介面
+with gr.Blocks() as app:
+    gr.Markdown("## 🌤️🍽️ Meal Matchmaker: Food for Your Mood and Weather! 🍽️🌤️")
+
+    with gr.Row():
+        with gr.Column():
+            emotion = gr.Dropdown(
+                ["開心", "羞愧", "憤怒", "悲傷", "忌妒", "恐懼"],
+                label="🎭 Pick Your Mood "
+            )
+        with gr.Column():
+            city = gr.Textbox(label="📍 Enter Your Location (e.g., 台北、Okinawa)")
+
+    submit_btn = gr.Button("Serve Me a Meal! ✨")
+
+    with gr.Row():
+            weather_output = gr.Textbox(label="☁️ Weather Check", interactive=False)
+            meal_output = gr.Textbox(label="🎉 Your Perfect Meal", interactive=False)
+            message_output = gr.Textbox(label="💖 A Little Boost of Encouragement", interactive=False)
+
+    submit_btn.click(
+        recommend_meal,
+        inputs=[emotion, city],
+        outputs=[weather_output, meal_output, message_output]
+    )
+
+# 啟動應用
+app.launch(debug=False)