Update main.py

main.py

@@ -18,6 +18,7 @@ generation_config = genai.types.GenerationConfig(max_output_tokens=2048, tempera
 
 # 使用 Gemini-1.5-flash 模型
 model = genai.GenerativeModel('gemini-2.0-flash-exp', system_instruction="請用繁體中文回答。你現在是個專業助理，職稱為OPEN小助理，個性活潑、樂觀，願意回答所有問題", generation_config=generation_config)
+chat = model.start_chat(history=[])
 
 # 設定 Line Bot 的 API 金鑰和秘密金鑰
 line_bot_api = LineBotApi(os.environ["CHANNEL_ACCESS_TOKEN"])
@@ -77,7 +78,6 @@ def get_image_url(message_id):
 
 # 使用字典模擬用戶訊息歷史存儲
 user_message_history = defaultdict(list)
-history=[]
 def store_user_message(user_id, message_type, message_content):
     """
     儲存用戶的訊息
@@ -98,8 +98,6 @@ def analyze_with_gemini(image_path, user_text):
         organ = PIL.Image.open(image_path)
         chat = model.start_chat(history=history)
         response = chat.send_message([user_text, organ])
-        history.append({"role": "user", "parts": [user_text]})
-        history.append({"role": "model", "parts": [response.parts[0].text]})
         
         # 提取回應內容
         return response.parts[0].text
@@ -120,7 +118,6 @@ def get_previous_message(user_id):
 @line_handler.add(MessageEvent, message=(ImageMessage,TextMessage))
 def handle_image_message(event):
     user_id = event.source.user_id
-    GeneAI = ""
     # 從 LINE API 獲取圖片數據
     image_path = get_image_url(event.message.id)
     if image_path:
@@ -170,19 +167,14 @@ def handle_image_message(event):
                 # 取得使用者輸入的文字
                 prompt = event.message.text
                 store_user_message(user_id, "text", prompt) 
-                
-                history.append({"role": "user", "parts": [prompt]})
-                if GeneAI:
-                    history.append({"role": "model", "parts": [GeneAI]})
    
                 # 使用 Gemini 模型生成文字
                 chat = model.start_chat(history=history)
                 completion = chat.send_message(prompt)
                 # 檢查生成結果是否為空
-                if (completion.parts[0].text != None):
+                if (completion.text != None):
                     # 取得生成結果
-                    out = completion.parts[0].text
-                    GeneAI = out
+                    out = completion.text
                 else:
                     # 回覆 "Gemini沒答案!請換個說法！"
                     out = "我不太懂什麼意思也~"