Update app.py

app.py

@@ -46,7 +46,7 @@ def init_rag_system():
     rag_initialized = True
 
 # ==========================================
-# 2. 核心功能 (保持不變)
+# 2. 核心功能 (已修復除錯模式)
 # ==========================================
 def get_restaurant_data(mood_score_str, food_choice):
     init_rag_system()
@@ -74,12 +74,22 @@ def get_restaurant_data(mood_score_str, food_choice):
 
 def generate_content_with_groq(restaurant_name, restaurant_detail, user_diary, mood_score, mood_guide_reason, debug_mode=False):
     if not GROQ_API_KEY: return "⚠️ 請設定 GROQ_API_KEY"
+    
     client = OpenAI(api_key=GROQ_API_KEY, base_url="https://api.groq.com/openai/v1")
+    
     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}"
+    
     try:
         response = client.chat.completions.create(model="llama-3.3-70b-versatile", messages=[{"role": "system", "content": system_prompt}, {"role": "user", "content": user_msg}])
-        return response.choices[0].message.content
+        content = response.choices[0].message.content
+        
+        # ### [修復] 除錯模式邏輯 ###
+        if debug_mode:
+            content += f"\n\n--- 🔧 DEBUG: Groq Prompt ---\n**System:** {system_prompt}\n\n**User:** {user_msg}\n-----------------------"
+        # ########################
+        
+        return content
     except Exception as e: return f"Groq Error: {str(e)}"
 
 def generate_image_huggingface(prompt):
@@ -97,26 +107,30 @@ def mood_agent_logic(score_input, food_input, diary_input, debug_mode):
     if global_retriever:
         docs = global_retriever.invoke(name)
         if docs: rag_info = "\n".join([d.page_content for d in docs])
+        
     ai_text = generate_content_with_groq(name, rag_info, diary_input, score_input, mood_reason, debug_mode)
+    
+    # ### [修復] 除錯模式邏輯 (圖片 Prompt) ###
+    if debug_mode:
+        ai_text += f"\n\n--- 🔧 DEBUG: Image Prompt ---\n{img_prompt}\n-----------------------"
+    # ######################################
+
     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>'
+    
     yield final_response, None, map_html
     image_output = generate_image_huggingface(img_prompt)
     yield final_response, image_output, map_html
 
 
 # ==========================================
-# 3. [修正版] 橋接邏輯 (Bridge Functions)
+# 3. 橋接邏輯 (Bridge Functions)
 # ==========================================
 
-# 這是 app.py 自己的格式 (注意：這裡是半形括號)
 def _score_to_radio_value(score):
     mapping = {1: "1 (心情差)", 2: "2 (不太好)", 3: "3 (普通)", 4: "4 (不錯)", 5: "5 (超棒)"}
-    # 預防萬一 score 是 None 或其他怪怪的值
-    try:
-        score = int(score)
-    except:
-        score = 3
+    try: score = int(score)
+    except: score = 3
     return mapping.get(score, "3 (普通)")
 
 # 橋接 1：開始
@@ -129,33 +143,21 @@ def bridge_stop_click(st):
     res = emotion.on_stop(st)
     return res[1], res[0], gr.update(visible=False), res[5], res[4]
 
-# 橋接 3：Webcam 串流 (修正分數填入問題)
+# 橋接 3：Webcam 串流
 def bridge_predict_frame(frame, st):
     res = emotion.on_stream(frame, st)
+    out_cam = res[0]; out_result = res[1]; out_st = res[4]; out_btn_start = res[5]
     
-    out_cam = res[0]
-    out_result = res[1]
-    # out_mood = res[2] # ❌ 我們不使用隊友回傳的 UI 更新，因為括號格式不同
-    out_st = res[4]
-    out_btn_start = res[5]
-    
-    score_update = gr.update()
-    tabs_update = gr.update()
-    out_btn_stop = gr.update()
+    score_update = gr.update(); tabs_update = gr.update(); out_btn_stop = gr.update()
 
-    # 如果辨識完成，我們自己產生一個符合 app.py 格式的 UI 更新
     if out_st.finished and hasattr(out_st, 'final_score'):
-        # ✅ 使用 _score_to_radio_value 將整數轉換為半形括號字串
         new_val = _score_to_radio_value(out_st.final_score)
         score_update = gr.update(value=new_val)
-        
         tabs_update = gr.Tabs(selected=1)
         out_btn_stop = gr.update(visible=False)
         
     return out_cam, out_result, out_st, out_btn_stop, out_btn_start, score_update, tabs_update
 
-# (已移除) 橋接 4：圖片上傳 - 功能已移除
-
 
 # ==========================================
 # 4. Gradio 介面建構
@@ -180,8 +182,6 @@ with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
 
                 cam = gr.Image(sources=["webcam"], streaming=True, type="numpy", label="攝影機畫面", visible=False)
                 result_markdown = gr.Markdown(emotion._hint_html("請按「開啟攝影機辨識」並允許瀏覽器使用��機。"))
-                
-                # (已移除) 上傳照片區塊
 
         # Tab 2: 主功能區
         with gr.TabItem("🍽️ AI 心情食堂 (Step 2)", id=1):
@@ -189,7 +189,6 @@ with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
                 gr.Markdown(f"## 🍱 今天想吃點什麼？")
                 with gr.Row():
                     with gr.Column(scale=1):
-                        # 这里的 Radio 选项使用的是半形括号
                         score_input = gr.Radio(
                             ["1 (心情差)", "2 (不太好)", "3 (普通)", "4 (不錯)", "5 (超棒)"], 
                             label="1. 心情分數 (由 Tab 1 自動填入)", 
@@ -230,8 +229,6 @@ with gr.Blocks(title="AI 心情食堂", css=combined_css) as demo:
         show_progress="minimal"
     )
 
-    # (已移除) 上傳圖片事件
-
     submit_btn.click(
         fn=mood_agent_logic,
         inputs=[score_input, food_input, diary_input, debug_mode_btn],