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title: DASS QuickText Model
emoji: 📚
colorFrom: indigo
colorTo: red
sdk: gradio
sdk_version: 6.8.0
app_file: app.py
pinned: false
---
# 🌿 心理健康風險程度測試 (DASS-12)
這是一個基於 **DASS (Depression, Anxiety and Stress Scale)** 簡化版開發的自動化心理健康評估工具。透過 12 題心理狀態問答，利用機器學習模型預測潛在的心理健康風險程度。
## 🚀 功能特點
- **即時評估**：透過互動式介面，5 分鐘內獲得評估結果。
- **三維度分析**：分別計算「焦慮」、「憂鬱」與「壓力」的分數比重。
- **雲端紀錄**：測試結果會自動去識別化並加密儲存至後端雲端資料庫（Google Sheets），供學術研究與趨勢分析。
- **歷史紀錄**：支援瀏覽器當次 Session 的歷史紀錄查看。
## 🛠 技術棧
- **前端介面**: [Gradio](https://gradio.app/)
- **數據處理**: Pandas, Numpy
- **機器學習**: LightGBM (LGBMClassifier)
- **後端儲存**: Google Sheets API (via gspread)
- **部署環境**: Hugging Face Spaces
## 📁 檔案說明
- `app.py`: Gradio 主程式與邏輯控制。
- `DASS_model.bin`: 已訓練完成的機器學習模型。
- `AutoPreprocess.py`: 自定義數據預處理類別。
- `requirements.txt`: 專案執行環境所需的 Python 套件清單。
## 🔐 隱私聲明
本專案極為重視使用者隱私：
1. 使用者輸入之「暱稱」僅用於介面呈現，**不會**被傳送至雲端資料庫，亦**不會**用於模型計算。
2. 儲存之數據包含：測試時間、人口學基本資訊（性別/年齡/家庭人數）、各維度分數及 12 題原始答案。
3. 本工具非醫療器材，結果僅供參考。
## 👥 開發團隊
- 第四組：心理健康風險預測小組 🌿
- # 🌿 Psychological Health Risk Assessment (DASS-12)
This is an automated psychological health evaluation tool based on the simplified **DASS (Depression, Anxiety and Stress Scale)**. It leverages a Machine Learning model to predict potential mental health risk levels based on 12 psychological state questions.
## 🚀 Key Features
- **Instant Assessment**: Interactive interface that provides evaluation results within 5 minutes.
- **Three-Dimensional Analysis**: Calculates and visualizes specific scores for Anxiety, Depression, and Stress.
- **Cloud-Based Storage**: Test results are anonymized and securely stored in a cloud database (Google Sheets) for academic research and trend analysis.
- **Session History**: Supports viewing history logs within the current browser session.
## 🛠 Technical Stack
- **Frontend Interface**: [Gradio](https://gradio.app/)
- **Data Processing**: Pandas, Numpy
- **Machine Learning**: LightGBM (LGBMClassifier)
- **Backend Storage**: Google Sheets API (via gspread)
- **Deployment**: Hugging Face Spaces
## 📁 File Structure
- `app.py`: The main Gradio application logic.
- `DASS_model.bin`: The pre-trained machine learning model.
- `AutoPreprocess.py`: Custom data preprocessing class.
- `requirements.txt`: List of Python dependencies required for execution.
## 🔐 Privacy & Ethics
Privacy is our top priority:
1. **Anonymity**: The "Nickname" input is used solely for the user interface and is **NEVER** transmitted to the database or used in model calculations.
2. **Data Collection**: Collected data includes: timestamp, basic demographics (Gender/Age/Family Size), dimensional scores, and the 12 raw responses.
3. **Disclaimer**: This tool is not a medical device. Results are for reference only and do not constitute a formal diagnosis.
## 👥 Development Team
- Group 4: Mental Health Risk Prediction Team 🌿
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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