Update app.py

app.py

@@ -10,11 +10,6 @@ from langchain_huggingface import HuggingFaceEmbeddings
 from langchain_community.vectorstores import FAISS
 from PIL import Image
 from dotenv import load_dotenv
-
-# --- [新增] 匯入組員的模組 ---
-import teammate_logic 
-# ---------------------------
-
 load_dotenv()  # 自動尋找並載入 .env 檔案中的變數
 
 # ==========================================
@@ -169,6 +164,7 @@ def get_restaurant_data(mood_score_str, food_choice):
         
     return result, is_random, rec_categories, mood_reason
 
+# [修改] 增加 debug_mode 參數
 def generate_content_with_groq(restaurant_name, restaurant_detail, user_diary, mood_score, quiz_result, mood_guide_reason, debug_mode=False):
     if not GROQ_API_KEY: return "⚠️ 請設定 GROQ_API_KEY"
     
@@ -207,7 +203,7 @@ def generate_content_with_groq(restaurant_name, restaurant_detail, user_diary, m
         )
         content = response.choices[0].message.content
         
-        # 如果開啟除錯模式，附加 Prompt 資訊
+        # [修改] 如果開啟除錯模式，附加 Prompt 資訊
         if debug_mode:
             debug_info = f"""
             \n\n--- 🛠️ [DEBUG] LLM Prompt 檢查 ---
@@ -232,6 +228,7 @@ def generate_image_huggingface(prompt):
         print(f"❌ 生圖失敗: {e}")
         return None
 
+# [修改] 增加 debug_mode 參數
 def mood_agent_logic(score_input, food_input, diary_input, quiz_state, debug_mode):
     restaurant, is_random, rec_categories, mood_reason = get_restaurant_data(score_input, food_input)
     
@@ -252,10 +249,10 @@ def mood_agent_logic(score_input, food_input, diary_input, quiz_state, debug_mod
         if docs:
             rag_info = "\n".join([d.page_content for d in docs])
 
-    # 傳入 debug_mode
+    # [修改] 傳入 debug_mode
     ai_text = generate_content_with_groq(name, rag_info, diary_input, score_input, quiz_state, mood_reason, debug_mode)
     
-    # 如果開啟除錯模式，附加圖片 Prompt 資訊
+    # [修改] 如果開啟除錯模式，附加圖片 Prompt 資訊
     if debug_mode:
         img_debug_info = f"""
         \n\n--- 🛠️ [DEBUG] 圖片生成檢查 ---
@@ -303,12 +300,8 @@ def handle_q5_change(selected_label, current_state):
 # ==========================================
 # 5. Gradio 介面建構
 # ==========================================
-
-# --- [修改] 合併 CSS ---
-combined_css = custom_css + "\n" + teammate_logic.css
-# ---------------------
-
-with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
+with gr.Blocks(title="AI 心情食堂") as demo:
+    gr.HTML(f"<style>{custom_css}</style>")
     quiz_state = gr.State(value={})
 
     with gr.Tabs(elem_id="hidden_tabs") as tabs:
@@ -357,11 +350,6 @@ with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
                 radio_q5 = gr.Radio(choices=list(q5_options_map.keys()), label="請選擇", elem_classes="vertical-radio")
                 btn_q5_finish = gr.Button("完成測驗 ➔", interactive=False)
 
-        # --- [新增] 組員功能 ---
-        with gr.TabItem("情緒辨識 (組員功能)", id=6):
-            teammate_logic.render_ui()  # 呼叫組員的介面渲染函式
-        # ----------------------------
-
         # Tab 5: Main
         with gr.TabItem("Main", id=5):
             with gr.Column():
@@ -372,6 +360,7 @@ with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
                         food_input = gr.Radio(["吃飯", "吃麵", "隨便"], label="2. 想吃什麼", value="隨便")
                         diary_input = gr.Textbox(lines=4, label="3. 心情日記", placeholder="寫下今天發生的事...")
                         
+                        # [新增] 除錯模式開關
                         debug_mode_btn = gr.Checkbox(label="🔧 開啟除錯模式 (顯示 Prompt 與圖片資訊)", value=False)
                         
                         submit_btn = gr.Button("送出給 Agent", variant="primary")
@@ -396,6 +385,7 @@ with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
     radio_q5.change(fn=handle_q5_change, inputs=[radio_q5, quiz_state], outputs=[quiz_state, btn_q5_finish])
     btn_q5_finish.click(fn=lambda: gr.Tabs(selected=5), outputs=tabs)
 
+    # [修改] 加入 debug_mode_btn 到輸入
     submit_btn.click(
         fn=mood_agent_logic,
         inputs=[score_input, food_input, diary_input, quiz_state, debug_mode_btn],