整理歷史後的初始提交

DrugUse_LineBot_backup/.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

DrugUse_LineBot_backup/.gitignore

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+medicine.db
+.DS_Store
+.env

DrugUse_LineBot_backup/Dockerfile

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+# 使用官方 Python 映像作為基礎
+FROM python:3.9-slim
+
+# 設定工作目錄
+WORKDIR /app
+
+# 將 requirements.txt 複製到工作目錄
+COPY requirements.txt .
+
+# 安裝依賴套件
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 將專案中的所有檔案複製到工作目錄
+COPY . .
+
+# 新增：更改 /app 目錄的權限，使其對所有使用者可寫
+RUN chmod -R 777 /app
+
+# 設定環境變數 PORT (Hugging Face Spaces 通常會提供這個環境變數)
+# 您的 app.py 應該從 os.getenv("PORT", "7860") 讀取端口
+# 如果您的 app.py 中寫死了端口，例如 5000，這裡可以改為 EXPOSE 5000
+# 但最好是讓 Flask 監聽 $PORT
+ENV PORT 7860
+
+# 開放應用程式運行的端口 (與上面 ENV PORT 一致，或者您 Flask 監聽的端口)
+EXPOSE 7860
+
+# 執行應用程式的指令
+# 確保您的 app.py 中有 if __name__ == "__main__": app.run(host="0.0.0.0", port=int(os.environ.get("PORT", 7860)))
+CMD ["python", "app.py"]

DrugUse_LineBot_backup/Linebot Drug Use.json

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+{
+  "type": "service_account",
+  "project_id": "linebot-druguse",
+  "private_key_id": "b80390a9e6d6c96a18e564e65515ace30683018d",
+  "private_key": "-----BEGIN PRIVATE KEY-----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\nOX6WwlSDUzxIcOcdGC3u4Ek=\n-----END PRIVATE KEY-----\n",
+  "client_email": "linebot-db-accessor@linebot-druguse.iam.gserviceaccount.com",
+  "client_id": "108614875347090756394",
+  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+  "token_uri": "https://oauth2.googleapis.com/token",
+  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/linebot-db-accessor%40linebot-druguse.iam.gserviceaccount.com",
+  "universe_domain": "googleapis.com"
+}

DrugUse_LineBot_backup/README.md

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+---
+title: DrugUse LineBot
+emoji: 👀
+colorFrom: pink
+colorTo: indigo
+sdk: docker  
+pinned: false
+---
+
+這是我的 DrugUse LineBot 專案。

DrugUse_LineBot_backup/app.py

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+import os
+import sqlite3
+import requests
+import tempfile
+import logging
+from io import BytesIO
+
+from flask import Flask, request, abort, send_from_directory
+from PIL import Image
+
+from linebot.v3.webhook import WebhookParser, WebhookHandler
+from linebot.v3.webhooks import MessageEvent, TextMessageContent, ImageMessageContent
+from linebot.v3.messaging import MessagingApi, Configuration, ApiClient, MessagingApiBlob
+from linebot.v3.messaging.models import (
+    TextMessage, ReplyMessageRequest,
+    FlexMessage, FlexBubble, FlexBox, FlexText, FlexButton, URIAction,
+    QuickReply, QuickReplyItem, LocationAction, ImageMessage
+)
+from linebot.v3.exceptions import InvalidSignatureError
+
+import google.generativeai as genai
+import io
+import json
+from dotenv import load_dotenv
+
+# --- Google Drive API 相關導入 ---
+from google.oauth2 import service_account # 修改這裡
+from googleapiclient.discovery import build
+from googleapiclient.http import MediaIoBaseDownload
+# --- END Google Drive API 相關導入 ---
+
+load_dotenv()
+
+app = Flask(__name__)
+
+# 從環境變數讀取 LINE Bot 設定
+LINE_CHANNEL_SECRET = os.environ.get("LINE_CHANNEL_SECRET")
+LINE_CHANNEL_ACCESS_TOKEN = os.environ.get("LINE_CHANNEL_ACCESS_TOKEN")
+
+if not LINE_CHANNEL_SECRET or not LINE_CHANNEL_ACCESS_TOKEN:
+    raise RuntimeError("Missing essential environment variables")
+
+print(f"LINE_CHANNEL_SECRET: {LINE_CHANNEL_SECRET}")
+print(f"LINE_CHANNEL_ACCESS_TOKEN: {LINE_CHANNEL_ACCESS_TOKEN}")
+#print(f"GOOGLE_MAP_API_KEY: {GOOGLE_MAP_API_KEY}")
+
+# --- 資料庫路徑設定 ---
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+DB_FILENAME = "medicine.db"
+DB_PATH = os.path.join(BASE_DIR, DB_FILENAME) # 確保 DB_PATH 指向容器內的預期路徑
+# --- END 資料庫路徑設定 ---
+
+# --- Google Drive 下載函式 ---
+def download_db_from_google_drive():
+    print("Attempting to download database from Google Drive...")
+    google_creds_json_str = os.getenv("GOOGLE_CREDENTIALS_JSON")
+    file_id = os.getenv("GOOGLE_DRIVE_FILE_ID")
+
+    if not google_creds_json_str:
+        print("Error: GOOGLE_CREDENTIALS_JSON secret not found.")
+        return False
+    if not file_id:
+        print("Error: GOOGLE_DRIVE_FILE_ID secret not found.")
+        return False
+
+    try:
+        # 將 JSON 字串轉換為字典
+        creds_info = json.loads(google_creds_json_str)
+        # 從服務帳戶資訊建立憑證
+        creds = service_account.Credentials.from_service_account_info(
+            creds_info,
+            scopes=['https://www.googleapis.com/auth/drive.readonly'] # 只需要唯讀權限
+        )
+        drive_service = build('drive', 'v3', credentials=creds)
+
+        request_dl = drive_service.files().get_media(fileId=file_id)
+        # fh = io.BytesIO() # 記憶體中處理
+        # downloader = MediaIoBaseDownload(fh, request_dl)
+        
+        # 直接寫入檔案
+        with open(DB_PATH, 'wb') as fh:
+            downloader = MediaIoBaseDownload(fh, request_dl)
+            done = False
+            while done is False:
+                status, done = downloader.next_chunk()
+                print(f"Download {int(status.progress() * 100)}%.")
+        print(f"Database '{DB_FILENAME}' downloaded successfully to '{DB_PATH}'.")
+        return True
+    except Exception as e:
+        print(f"Error downloading database from Google Drive: {e}")
+        return False
+# --- END Google Drive 下載函式 ---
+
+# --- 在應用程式啟動時執行資料庫下載 ---
+DOWNLOAD_SUCCESS = False # Initialize
+# Check if running in Hugging Face Space or if secrets are generally available
+# In HF Spaces, secrets are environment variables. Locally, .env would be used.
+if os.getenv("GOOGLE_CREDENTIALS_JSON") and os.getenv("GOOGLE_DRIVE_FILE_ID"):
+    print("Found Google Drive credentials, attempting download...")
+    DOWNLOAD_SUCCESS = download_db_from_google_drive()
+else:
+    print("Warning: GOOGLE_CREDENTIALS_JSON or GOOGLE_DRIVE_FILE_ID not found in environment. Skipping DB download.")
+    print("If running locally, ensure they are in your .env file or environment.")
+    print("If on Hugging Face, ensure secrets are set in Space settings.")
+
+if not DOWNLOAD_SUCCESS:
+    print("CRITICAL: Database download failed or was skipped. The application might not function as expected if the database is required at startup.")
+# --- END 應用程式啟動時執行資料庫下載 ---
+
+configuration = Configuration(access_token=LINE_CHANNEL_ACCESS_TOKEN)
+parser = WebhookParser(LINE_CHANNEL_SECRET)
+handler = WebhookHandler(LINE_CHANNEL_SECRET)
+
+genai.configure(api_key=GOOGLE_API_KEY)
+chat = genai.GenerativeModel(model_name="gemini-1.5-flash")
+
+logging.basicConfig(level=logging.INFO)
+app.logger.setLevel(logging.INFO)
+
+@app.route("/images/<filename>")
+def serve_image(filename):
+    return send_from_directory(static_tmp_path, filename)
+
+@app.route("/")
+def home():
+    return {"message": "Line Webhook Server"}
+
+@app.route("/callback", methods=["POST"])
+def callback():
+    
+    # 檢查資料庫是否已成功下載 (可選，但建議)
+    if not DOWNLOAD_SUCCESS and not os.path.exists(DB_PATH):
+        print("Database not available, aborting callback.")
+        abort(500) # 或返回一個提示用戶稍後再試的訊息
+
+    signature = request.headers.get("X-Line-Signature", "")
+    body = request.get_data(as_text=True)
+
+    try:
+        events = parser.parse(body, signature)
+    except InvalidSignatureError:
+        abort(400)
+    except Exception as e:
+        print("Webhook parse error:", e)
+        abort(400)
+
+    with ApiClient(configuration) as api_client:
+        messaging_api = MessagingApi(api_client)
+        blob_api = MessagingApiBlob(api_client)
+
+        for event in events:
+            if event.type == "message":
+                # 文字訊息
+                if event.message.type == "text":
+                    user_input = event.message.text.strip()
+                    print("📨 收到訊息：", user_input)
+
+                    # AI 問答
+                    if user_input.startswith("AI "):
+                        prompt = "你是一個中文的AI助手，請用繁體中文回答。\n" + user_input[3:].strip()
+                        try:
+                            response = chat.generate_content(prompt)
+                            reply_text = response.text
+                        except Exception as e:
+                            reply_text = f"AI 回答失敗：{e}"
+
+                        reply_request = ReplyMessageRequest(
+                            reply_token=event.reply_token,
+                            messages=[TextMessage(text=reply_text)]
+                        )
+                        messaging_api.reply_message(reply_message_request=reply_request)
+
+                    # 查詢藥品
+                    elif user_input == "查詢藥品":
+                        reply_text = "請輸入藥品名稱，例如：口服感冒藥"
+                        reply_request = ReplyMessageRequest(
+                            reply_token=event.reply_token,
+                            messages=[TextMessage(text=reply_text)]
+                        )
+                        messaging_api.reply_message(reply_message_request=reply_request)
+
+                    # 查詢藥局
+                    elif "查詢藥局" in user_input:
+                        quick_reply = QuickReply(
+                            items=[QuickReplyItem(action=LocationAction(label="傳送我的位置"))]
+                        )
+                        reply_request = ReplyMessageRequest(
+                            reply_token=event.reply_token,
+                            messages=[TextMessage(text="請點選下方按鈕傳送你的位置，我才能幫你找附近藥局喔～", quick_reply=quick_reply)]
+                        )
+                        messaging_api.reply_message(reply_message_request=reply_request)
+
+                    # 其他：查詢藥品資料庫，副作用永遠由AI產生
+                    else:
+                        medicine_name = user_input.lower()
+                        try:
+                            conn = sqlite3.connect(DB_PATH)
+                            cursor = conn.cursor()
+                            query = """
+                                SELECT DISTINCT 中文品名, 英文品名, 適應症
+                                FROM drugs
+                                WHERE LOWER(中文品名) LIKE ?
+                                LIMIT 3
+                            """
+                            like_param = f'%{medicine_name}%'
+                            cursor.execute(query, (like_param,))
+                            rows = cursor.fetchall()
+                            conn.close()
+                            
+                            if rows:
+                                zh_name, en_name, indication = rows[0]
+                                # 副作用由 AI 產生
+                                prompt = (
+                                    f"請用簡短條列式，僅列出副作用，針對藥品「{zh_name}」(英文名：{en_name})，"
+                                    "請用繁體中文回答，若無法判斷請推測。"
+                                )
+                                try:
+                                    ai_resp = chat.generate_content(prompt)
+                                    side_effects = ai_resp.text.strip()
+                                except Exception as e:
+                                    side_effects = f"AI 回答失敗：{e}"
+                                reply_text = (
+                                    f"🔹 中文品名：{zh_name}\n"
+                                    f"📌 英文品名：{en_name}\n"
+                                    f"📄 適應症：{indication}\n"
+                                    f"⚠️ 副作用：{side_effects}"
+                                )
+                            else:
+                                # 全部請AI生成
+                                prompt = (
+                                    f"請用以下格式，幫我介紹藥品「{medicine_name}」，若無法查到請盡量推測：\n"
+                                    "🔹 中文品名：\n"
+                                    "📌 英文品名：\n"
+                                    "📄 適應症：\n"
+                                    "⚠️ 副作用："
+                                )
+                                try:
+                                    ai_resp = chat.generate_content(prompt)
+                                    reply_text = ai_resp.text
+                                except Exception as e:
+                                    reply_text = f"AI 回答失敗：{e}"
+
+                        except Exception as e:
+                            reply_text = f"⚠️ 查詢資料時發生錯誤：{str(e)}"
+
+                        reply_request = ReplyMessageRequest(
+                            reply_token=event.reply_token,
+                            messages=[TextMessage(text=reply_text.strip())]
+                        )
+                        messaging_api.reply_message(reply_message_request=reply_request)
+
+                # 處理位置訊息（查詢附近藥局）
+                elif event.message.type == "location":
+                    user_lat = event.message.latitude
+                    user_lng = event.message.longitude
+
+                    nearby_url = (
+                        f"https://maps.googleapis.com/maps/api/place/nearbysearch/json?"
+                        f"location={user_lat},{user_lng}&radius=1000&type=pharmacy&key={GOOGLE_MAP_API_KEY}"
+                    )
+                    nearby_res = requests.get(nearby_url).json()
+
+                    if not nearby_res.get('results'):
+                        reply_request = ReplyMessageRequest(
+                            reply_token=event.reply_token,
+                            messages=[TextMessage(text="附近找不到藥局")]
+                        )
+                        messaging_api.reply_message(reply_message_request=reply_request)
+                        continue
+
+                    place = nearby_res['results'][0]
+                    place_id = place['place_id']
+                    name = place.get('name', '藥局名稱未知')
+                    location = place['geometry']['location']
+                    dest_lat, dest_lng = location['lat'], location['lng']
+
+                    details_url = (
+                        f"https://maps.googleapis.com/maps/api/place/details/json?"
+                        f"place_id={place_id}&fields=name,formatted_phone_number&key={GOOGLE_MAP_API_KEY}"
+                    )
+                    details_res = requests.get(details_url).json()
+                    phone = details_res.get('result', {}).get('formatted_phone_number', '電話不詳')
+
+                    dist_url = (
+                        f"https://maps.googleapis.com/maps/api/distancematrix/json?"
+                        f"origins={user_lat},{user_lng}&destinations={dest_lat},{dest_lng}&key={GOOGLE_MAP_API_KEY}"
+                    )
+                    dist_res = requests.get(dist_url).json()
+                    distance = dist_res['rows'][0]['elements'][0]['distance']['text']
+
+                    map_url = f"https://www.google.com/maps/search/?api=1&query={dest_lat},{dest_lng}"
+
+                    bubble = FlexBubble(
+                        body=FlexBox(
+                            layout="vertical",
+                            contents=[
+                                FlexText(text=name, weight="bold", size="lg"),
+                                FlexText(text=f"電話：{phone}", size="sm", color="#555555"),
+                                FlexText(text=f"距離：{distance}", size="sm", color="#777777"),
+                            ],
+                        ),
+                        footer=FlexBox(
+                            layout="vertical",
+                            contents=[
+                                FlexButton(
+                                    style="link",
+                                    height="sm",
+                                    action=URIAction(label="地圖導航", uri=map_url),
+                                )
+                            ],
+                        ),
+                    )
+
+                    flex_message = FlexMessage(
+                        alt_text="附近藥局推薦",
+                        contents=bubble
+                    )
+
+                    reply_request = ReplyMessageRequest(
+                        reply_token=event.reply_token,
+                        messages=[flex_message]
+                    )
+                    messaging_api.reply_message(reply_message_request=reply_request)
+
+                # 圖片訊息：用 Gemini AI 以藥品格式解釋圖片
+                elif event.message.type == "image":
+                    try:
+                        content = blob_api.get_message_content(message_id=event.message.id)
+                        with tempfile.NamedTemporaryFile(dir=static_tmp_path, suffix=".jpg", delete=False) as tf:
+                            tf.write(content)
+                            filename = os.path.basename(tf.name)
+                        image_url = f"https://{base_url}/images/{filename}"
+                        image = Image.open(tf.name)
+
+                        # Gemini 圖片說明（指定格式，四欄都AI產生）
+                        prompt = (
+                            "請根據這張圖片判斷藥品資訊，並用以下格式回答，若無法判斷請盡量推測：\n"
+                            "🔹 中文品名：\n"
+                            "📌 英文品名：\n"
+                            "📄 適應症：\n"
+                            "⚠️ 副作用："
+                        )
+                        response = chat.generate_content([image, prompt])
+                        description = response.text
+
+                        reply_request = ReplyMessageRequest(
+                            reply_token=event.reply_token,
+                            messages=[
+                                ImageMessage(
+                                    original_content_url=image_url,
+                                    preview_image_url=image_url
+                                ),
+                                TextMessage(text=description)
+                            ]
+                        )
+                        messaging_api.reply_message(reply_message_request=reply_request)
+                    except Exception as e:
+                        reply_request = ReplyMessageRequest(
+                            reply_token=event.reply_token,
+                            messages=[TextMessage(text=f"圖片處理失敗：{e}")]
+                        )
+                        messaging_api.reply_message(reply_message_request=reply_request)
+
+    return "OK"
+
+if __name__ == "__main__":
+    port = int(os.environ.get("PORT", 7860)) # 讀取環境變數 PORT，預設為 7860
+    app.run(host="0.0.0.0", port=port, debug=False)

DrugUse_LineBot_backup/requirements.txt

@@ -0,0 +1,13 @@
+flask
+line-bot-sdk
+transformers
+torch
+# torchvision # 如果您確定沒有用到 torchvision，可以考慮移除或註解掉
+# torchaudio # 同上
+diffusers
+accelerate
+Pillow
+python-dotenv
+google-api-python-client
+google-auth-httplib2
+google-auth-oauthlib