Update app.py

app.py

@@ -46,7 +46,7 @@ def init_rag_system():
     rag_initialized = True
 
 # ==========================================
-# 2. 核心功能 (修改：回傳分開的除錯資訊)
+# 2. 核心功能
 # ==========================================
 def get_restaurant_data(mood_score_str, food_choice):
     init_rag_system()
@@ -80,7 +80,6 @@ def generate_content_with_groq(restaurant_name, restaurant_detail, user_diary, m
     system_prompt = "你是一個幽默、懂吃且善解人意的 AI 朋友..."
     user_msg = f"【狀態】心情分數：{mood_score}\n【日記】{user_diary}\n【建議原因】{mood_guide_reason}\n【餐廳】{restaurant_name}\n資料：{restaurant_detail}"
     
-    # 準備除錯資訊
     debug_log = ""
     if debug_mode:
         debug_log = f"""
@@ -95,7 +94,7 @@ def generate_content_with_groq(restaurant_name, restaurant_detail, user_diary, m
     try:
         response = client.chat.completions.create(model="llama-3.3-70b-versatile", messages=[{"role": "system", "content": system_prompt}, {"role": "user", "content": user_msg}])
         content = response.choices[0].message.content
-        return content, debug_log # 回傳 (內容, 除錯資訊)
+        return content, debug_log
     except Exception as e: 
         return f"Groq Error: {str(e)}", debug_log
 
@@ -117,10 +116,8 @@ def mood_agent_logic(score_input, food_input, diary_input, debug_mode):
         docs = global_retriever.invoke(name)
         if docs: rag_info = "\n".join([d.page_content for d in docs])
         
-    # 呼叫 Groq 生成內容與取得除錯資訊
     ai_text, groq_debug_log = generate_content_with_groq(name, rag_info, diary_input, score_input, mood_reason, debug_mode)
     
-    # 準備完整的除錯資訊 (包含圖片 Prompt)
     full_debug_log = ""
     if debug_mode:
         img_debug_log = f"""
@@ -130,16 +127,13 @@ def mood_agent_logic(score_input, food_input, diary_input, debug_mode):
 """
         full_debug_log = groq_debug_log + "\n\n" + img_debug_log
 
-    # 設定除錯視窗的狀態 (有勾選才顯示)
     debug_output_update = gr.update(value=full_debug_log, visible=debug_mode)
 
     final_response = f"### 🍽️ 推薦：{name}\n\n{ai_text}"
     map_html = f'<div style="text-align:center"><a href="{url}" target="_blank" style="background:#4CAF50;color:white;padding:8px 16px;border-radius:20px;text-decoration:none">🗺️ Google Map 導航</a></div>'
     
-    # 先回傳文字與除錯資訊
     yield final_response, None, map_html, debug_output_update
     
-    # 再回傳圖片
     image_output = generate_image_huggingface(img_prompt)
     yield final_response, image_output, map_html, debug_output_update
 
@@ -180,6 +174,7 @@ def bridge_predict_frame(frame, st):
 # 4. Gradio 介面建構
 # ==========================================
 
+# 這裡會讀取 emotion.py 中我們剛剛修改過的 CSS
 combined_css = emotion.css 
 
 with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
@@ -217,9 +212,7 @@ with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
                         
                         submit_btn = gr.Button("🍱 送出給 Agent", variant="primary")
                         
-                        # --- [新增] 除錯資訊顯示區 (位於按鈕下方) ---
                         debug_output = gr.Markdown(label="除錯資訊 (Debug Log)", visible=False)
-                        # ----------------------------------------
                     
                     with gr.Column(scale=1):
                         agent_output = gr.Markdown(label="AI 回應")
@@ -254,7 +247,7 @@ with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
     submit_btn.click(
         fn=mood_agent_logic,
         inputs=[score_input, food_input, diary_input, debug_mode_btn],
-        outputs=[agent_output, image_output, map_output, debug_output] # 加入 debug_output
+        outputs=[agent_output, image_output, map_output, debug_output] 
     )
 
 if __name__ == "__main__":