Upload 3 files
Browse files- mood_food_guide.csv +6 -0
- requirements.txt +30 -0
- restaurants.csv +0 -0
mood_food_guide.csv
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分數,心情狀態,需求,推薦料理類別,原因
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1,糟透了,"極度需要安慰、溫暖、擁抱感,或者是快速的多巴胺",日式料理(拉麵/壽喜燒/關東煮)、甜點/點心,"當心情跌落谷底,溫暖軟糯的碳水化合物像擁抱;糖分能快速上升血糖帶來短暫快樂,是「人生好難」的解藥。"
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2,糟糕,"發洩壓力、需要刺激、想要大口吃肉或重口味轉移注意力",韓式料理(炸雞/年糕/部隊鍋)、泰式料理,"辣味帶來的痛覺能刺激腦內啡分泌,酸辣重口能瞬間醒腦,暫時沖刷煩惱。"
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3,普通,"維持日常機能、追求安穩、健康、不想踩雷也不想太負擔",台式/中式(滷肉飯/水餃/乾麵)、健康餐(水煮/波奇碗),"這是刻在基因裡的安全感味道;或是選擇清淡原型食物,作為一種「自我保養」。"
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4,不錯,"有些許興致、願意嘗試豐富的香料、適合輕鬆的社交",港式料理、印度料理/馬來西亞料理,"適合花時間慢慢吃的點心,或欣賞香料層次豐富的異國風味,適合心情好且感官敏銳時享用。"
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5,太棒了,"慶祝、獎勵自己、高熱量、高爽度、大份量分享",美式/西式(牛排/漢堡/披薩/義大利麵),"標準的「慶祝食物」,伴隨著高熱量和飽足感,是大腦認定最高級的「獎勵」。"
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requirements.txt
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# --- Core & Data ---
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numpy==1.26.4
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pandas
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requests
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# --- UI Framework ---
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# 採用組員指定版本以確保樣式正確,同時符合主程式 >=4.0.0 的需求
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gradio==4.44.1
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# --- RAG & LLM (Main App) ---
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openai
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langchain
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langchain-community
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langchain-huggingface
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faiss-cpu
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sentence-transformers
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huggingface_hub
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# --- Computer Vision & DeepFace (Teammate Logic) ---
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deepface==0.0.92
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mtcnn==0.1.1
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pillow==10.4.0
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# 雲端環境必須使用 headless 版本,避免 GUI 錯誤
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opencv-python-headless==4.10.0.84
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# DeepFace 依賴項 (固定版本以確保相容性)
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tensorflow==2.15.1
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tf-keras==2.15.1
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keras==2.15.0
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restaurants.csv
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