def chat_with_any_ai(ai_type, password, video_id, user_data, transcript_state, key_moments, user_message, chat_history, content_subject, content_grade, questions_answers_json, socratic_mode=False, thread_id=None, ai_name=None):

app.py

@@ -1261,7 +1261,6 @@ def change_questions(password, df_string):
     print("=====get_questions=====")
     return q1, q2, q3
 
-# 「關鍵時刻」另外獨立成一個 tab，時間戳記和文字的下方附上對應的截圖，重點摘要的「關鍵時刻」加上截圖資訊
 def get_key_moments(video_id, formatted_simple_transcript, formatted_transcript, source):
     if source == "gcs":
         print("===get_key_moments on gcs===")
@@ -2100,12 +2099,10 @@ def get_instructions(content_subject, content_grade, key_moments, socratic_mode=
     """
     return instructions
 
-def chat_with_ai(ai_name, password, video_id, user_data, trascript_state, key_moments, user_message, chat_history, content_subject, content_grade, questions_answers_json, socratic_mode=False):
-    verify_password(password)
-
-    print("=====user_data=====")
+def chat_with_any_ai(ai_type, password, video_id, user_data, transcript_state, key_moments, user_message, chat_history, content_subject, content_grade, questions_answers_json, socratic_mode=False, thread_id=None, ai_name=None):
+    print(f"ai_type: {ai_type}")
     print(f"user_data: {user_data}")
-
+    verify_password(password)
     verify_message_length(user_message, max_length=1500)
 
     is_questions_answers_exists, question_message, answer_message = check_questions_answers(user_message, questions_answers_json)
@@ -2113,10 +2110,52 @@ def chat_with_ai(ai_name, password, video_id, user_data, trascript_state, key_mo
         chat_history = update_chat_history(question_message, answer_message, chat_history)
         send_btn_update, send_feedback_btn_update = update_send_and_feedback_buttons(chat_history, CHAT_LIMIT)
         time.sleep(3)
-        return "", chat_history, send_btn_update, send_feedback_btn_update
 
+        return "", chat_history, send_btn_update, send_feedback_btn_update, thread_id
+    
     verify_chat_limit(chat_history, CHAT_LIMIT)
 
+    if ai_type == "chat_completions":
+        chatbot_config = get_chatbot_config(ai_name, transcript_state, key_moments, content_subject, content_grade, video_id, socratic_mode)
+        chatbot = Chatbot(chatbot_config)
+        response_text = chatbot.chat(user_message, chat_history)
+        thread_id = ""
+    elif ai_type == "assistant":
+        client = OPEN_AI_CLIENT
+        assistant_id = OPEN_AI_ASSISTANT_ID_GPT4 #GPT 4 turbo
+        if isinstance(key_moments, str):
+            key_moments_json = json.loads(key_moments)
+        else:
+            key_moments_json = key_moments
+        # key_moments_json remove images
+        for moment in key_moments_json:
+            moment.pop('images', None)
+            moment.pop('end', None)
+            moment.pop('transcript', None)
+        key_moments_text = json.dumps(key_moments_json, ensure_ascii=False)
+        instructions = get_instructions(content_subject, content_grade, key_moments_text, socratic_mode)
+        print(f"=== instructions:{instructions} ===")
+        metadata={
+            "video_id": video_id,
+            "user_data": user_data,
+            "content_subject": content_subject,
+            "content_grade": content_grade,
+            "socratic_mode": str(socratic_mode),
+            "assistant_id": assistant_id,
+            "is_streaming": "false",
+        }
+        user_message_note = "/n 請嚴格遵循instructions，擔任一位蘇格拉底家教，絕對不要重複 user 的問句，請用引導的方式指引方向，請一定要用繁體中文回答 zh-TW，並用台灣人的禮貌口語表達，回答時不要特別說明這是台灣人的語氣，請在回答的最後標註【參考：（時）:（分）:（秒）】，（如果是反問學生，就只問一個問題，請幫助學生更好的理解資料，字數在100字以內，回答時如果講到數學專有名詞，請用數學符號代替文字（Latex 用 $ 字號 render, ex: $x^2$)"
+        user_content = user_message + user_message_note
+        response_text, thread_id = handle_conversation_by_open_ai_assistant(client, user_content, instructions, assistant_id, thread_id, metadata, fallback=True)
+
+    # 更新聊天历史
+    chat_history = update_chat_history(user_message, response_text, chat_history)
+    send_btn_update, send_feedback_btn_update = update_send_and_feedback_buttons(chat_history, CHAT_LIMIT)
+
+    # 返回聊天历史和空字符串清空输入框
+    return "", chat_history, send_btn_update, send_feedback_btn_update, thread_id
+
+def get_chatbot_config(ai_name, transcript_state, key_moments, content_subject, content_grade, video_id, socratic_mode=True):
     if not ai_name in ["foxcat", "lili", "maimai"]:
         ai_name = "foxcat"
 
@@ -2140,10 +2179,10 @@ def chat_with_ai(ai_name, password, video_id, user_data, trascript_state, key_mo
     ai_client = ai_name_clients_model.get(ai_name, "foxcat")["ai_client"]
     ai_model_name = ai_name_clients_model.get(ai_name, "foxcat")["ai_model_name"]
 
-    if isinstance(trascript_state, str):
-        simple_transcript = json.loads(trascript_state)
+    if isinstance(transcript_state, str):
+        simple_transcript = json.loads(transcript_state)
     else:
-        simple_transcript = trascript_state
+        simple_transcript = transcript_state
   
     if isinstance(key_moments, str):
         key_moments_json = json.loads(key_moments)
@@ -2170,26 +2209,9 @@ def chat_with_ai(ai_name, password, video_id, user_data, trascript_state, key_mo
         "instructions": instructions
     }
 
-    try:
-        chatbot = Chatbot(chatbot_config)
-        response_completion = chatbot.chat(user_message, chat_history, socratic_mode, ai_model_name)
-    except Exception as e:
-        print(f"Error: {e}")
-        response_completion = "學習精靈有點累，請稍後再試！"
-
-    try:
-        # 更新聊天历史
-        chat_history = update_chat_history(user_message, response_completion, chat_history)
-        send_btn_update, send_feedback_btn_update = update_send_and_feedback_buttons(chat_history, CHAT_LIMIT)
-
-        # 返回聊天历史和空字符串清空输入框
-        return "", chat_history, send_btn_update, send_feedback_btn_update
-    except Exception as e:
-        # 处理错误情况
-        print(f"Error: {e}")
-        return "请求失败，请稍后再试！", chat_history
+    return chatbot_config
 
-def feedback_with_ai(chat_history):
+def feedback_with_ai(ai_type, chat_history, thread_id=None):
     # prompt: 請依據以上的對話(chat_history)，總結我的「提問力」，並給予我是否有「問對問題」的回饋和建議
     system_content = """
         你是一個擅長引導問答素養的老師，user 為學生的提問跟回答，請精讀對話過程，針對 user 給予回饋就好，根據以下 Rule:
@@ -2225,10 +2247,16 @@ def feedback_with_ai(chat_history):
         提問表現：【🟡】加油，持續練習，你的提問力會越來越好！
     """
 
-
     client = OPEN_AI_CLIENT
-    model_name = "gpt-4-turbo"
-    response_text = handle_conversation_by_open_ai_chat_completions(client, model_name, user_content, system_content)
+
+    if ai_type == "chat_completions":
+        model_name = "gpt-4-turbo"
+        response_text = handle_conversation_by_open_ai_chat_completions(client, model_name, user_content, system_content)
+    elif ai_type == "assistant":
+        assistant_id = OPEN_AI_ASSISTANT_ID_GPT4 #GPT 4 turbo
+        # assistant_id = OPEN_AI_ASSISTANT_ID_GPT3 #GPT 3.5 turbo
+        response_text, thread_id = handle_conversation_by_open_ai_assistant(client, user_content, system_content, assistant_id, thread_id, metadata=None, fallback=True)
+    
     chat_history = update_chat_history(feedback_request_message, response_text, chat_history)
     feedback_btn_update = gr.update(value="已回饋", interactive=False, variant="secondary")
 
@@ -2246,139 +2274,6 @@ def handle_conversation_by_open_ai_chat_completions(client, model_name, user_con
     response_text = response.choices[0].message.content.strip()
     return response_text
 
-# open ai assistant
-def chat_with_opan_ai_assistant(password, youtube_id, user_data, thread_id, trascript_state, key_moments, user_message, chat_history, content_subject, content_grade, questions_answers_json, socratic_mode=False):
-    verify_password(password)
-
-    print("=====user_data=====")
-    print(f"user_data: {user_data}")
-
-    verify_message_length(user_message, max_length=1500)
-
-    is_questions_answers_exists, question_message, answer_message = check_questions_answers(user_message, questions_answers_json)
-    if is_questions_answers_exists:
-        chat_history = update_chat_history(question_message, answer_message, chat_history)
-        send_btn_update, send_feedback_btn_update = update_send_and_feedback_buttons(chat_history, CHAT_LIMIT)
-        time.sleep(3)
-        return "", chat_history, thread_id, send_btn_update, send_feedback_btn_update
-    
-    verify_chat_limit(chat_history, CHAT_LIMIT)
-
-    client = OPEN_AI_CLIENT
-    assistant_id = OPEN_AI_ASSISTANT_ID_GPT4 #GPT 4 turbo
-    if isinstance(key_moments, str):
-        key_moments_json = json.loads(key_moments)
-    else:
-        key_moments_json = key_moments
-    # key_moments_json remove images
-    for moment in key_moments_json:
-        moment.pop('images', None)
-        moment.pop('end', None)
-        moment.pop('transcript', None)
-    key_moments_text = json.dumps(key_moments_json, ensure_ascii=False)
-    instructions = get_instructions(content_subject, content_grade, key_moments_text, socratic_mode)
-    print(f"=== instructions:{instructions} ===")
-    metadata={
-        "video_id": youtube_id,
-        "user_data": user_data,
-        "content_subject": content_subject,
-        "content_grade": content_grade,
-        "socratic_mode": str(socratic_mode),
-        "assistant_id": assistant_id,
-        "is_streaming": "false",
-    }
-    user_message_note = "/n 請嚴格遵循instructions，擔任一位蘇格拉底家教，絕對不要重複 user 的問句，請用引導的方式指引方向，請一定要用繁體中文回答 zh-TW，並用台灣人的禮貌口語表達，回答時不要特別說明這是台灣人的語氣，請在回答的最後標註【參考：（時）:（分）:（秒）】，（如果是反問學生，就只問一個問題，請幫助學生更好的理解資料，字數在100字以內，回答時如果講到數學專有名詞，請用數學符號代替文字（Latex 用 $ 字號 render, ex: $x^2$)"
-    user_content = user_message + user_message_note
-    response_text, thread_id = handle_conversation_by_open_ai_assistant(client, user_content, instructions, assistant_id, thread_id, metadata, fallback=True)
-    
-    # 更新聊天历史
-    chat_history = update_chat_history(user_message, response_text, chat_history)
-    send_btn_update, send_feedback_btn_update = update_send_and_feedback_buttons(chat_history, CHAT_LIMIT)
-
-    return "", chat_history, thread_id, send_btn_update, send_feedback_btn_update
-
-def feedback_with_opan_ai_assistant(thread_id, chat_history):
-    # prompt: 請依據以上的對話(chat_history)，總結我的「提問力」，並給予我是否有「問對問題」的回饋和建議
-    system_content = """
-        你是一個擅長引導問答素養的老師，user 為學生的提問跟回答，請精讀對話過程，針對 user 給予回饋就好，根據以下 Rule:
-        - 請使用繁體中文 zh-TW 總結 user 的提問力，並給予是否有問對問題的回饋和建議
-        - 不採計【預設提問】的問題，如果 user 的提問都來自【預設提問】，表達用戶善於使用系統，請給予回饋並鼓勵 user 親自提問更具體的問題
-        - 如果用戶提問都相當簡短，甚至就是一個字或都是一個數字（像是 user: 1, user:2），請給予回饋並建議 user 提問更具體的問題
-        - 如果用戶提問內容只有符號或是亂碼，像是？,！, ..., 3bhwbqhfw2vve2 等，請給予回饋並建議 user 提問更具體的問題
-        - 如果用戶提問內容有色情、暴力、仇恨、不當言論等，請給予嚴厲的回饋並建議 user 提問更具體的問題
-        - 並用第二人稱「你」來代表 user
-        - 請禮貌，並給予鼓勵
-    """
-    chat_history_conversation = ""
-    # 標註 user and assistant as string
-    # chat_history 第一組不採計
-    for chat in chat_history[1:]:
-        user_message = chat[0]
-        assistant_message = chat[1]
-        chat_history_conversation += f"User: {user_message}\nAssistant: {assistant_message}\n"
-    
-    feedback_request_message = "請依據以上的對話，總結我的「提問力」，並給予我是否有「問對問題」的回饋和建議"
-    user_content = f"""conversation: {chat_history_conversation}
-        {feedback_request_message}
-        最後根據提問力表現，給予提問建議、提問表現，並用 emoji 來表示評分：
-        🟢：（表現很好的回饋，給予正向肯定）
-        🟡：（還可以加油的的回饋，給予明確的建議）
-        🔴：（非常不懂提問的回饋，給予鼓勵並給出明確示範）
-
-        example:
-        另一方面，你表達「我不想學了」這個情感，其實也是一種重要的反饋。這顯示你可能感到挫折或疲倦。在這種情況下，表達出你的感受是好的，但如果能具體說明是什麼讓你感到這樣，或是有什麼具體的學習障礙，會更有助於找到解決方案。
-        給予你的建議是，嘗試在提問時更明確一些，這樣不僅能幫助你獲得更好的學習支持，也能提高你的問題解決技巧。
-        ......
-        提問建議：在提問時，試著具體並清晰地表達你的需求和疑惑，這樣能更有效地得到幫助。
-        提問表現：【🟡】加油，持續練習，你的提問力會越來越好！
-    """
-
-
-    client = OPEN_AI_CLIENT
-    assistant_id = OPEN_AI_ASSISTANT_ID_GPT4 #GPT 4 turbo
-    # assistant_id = OPEN_AI_ASSISTANT_ID_GPT3 #GPT 3.5 turbo
-    instructions = system_content
-    response_text, thread_id = handle_conversation_by_open_ai_assistant(client, user_content, instructions, assistant_id, thread_id, metadata=None, fallback=True)
-    chat_history = update_chat_history(feedback_request_message, response_text, chat_history)
-    feedback_btn_update = gr.update(value="已回饋", interactive=False, variant="secondary")
-
-    return chat_history, feedback_btn_update
-
-def verify_message_length(user_message, max_length=500):
-    # 驗證用戶消息的長度
-    if len(user_message) > max_length:
-        error_msg = "你的訊息太長了，請縮短訊息長度至五百字以內"
-        raise gr.Error(error_msg)
-
-def check_questions_answers(user_message, questions_answers_json):
-    """檢查問答是否存在，並處理相關邏輯"""
-    is_questions_answers_exists = False
-    answer = ""
-    # 解析問答數據
-    if isinstance(questions_answers_json, str):
-        qa_data = json.loads(questions_answers_json)
-    else:
-        qa_data = questions_answers_json
-    
-    question_message = ""
-    answer_message = ""
-    for qa in qa_data:
-        if user_message == qa["question"] and qa["answer"]:
-            is_questions_answers_exists = True
-            question_message = f"【預設問題】{user_message}"
-            answer_message = qa["answer"]
-            print("=== in questions_answers_json==")
-            print(f"question: {qa['question']}")
-            print(f"answer: {answer_message}")
-            break  # 匹配到答案後退出循環
-
-    return is_questions_answers_exists, question_message, answer_message
-
-def verify_chat_limit(chat_history, chat_limit):
-    if chat_history is not None and len(chat_history) > chat_limit:
-        error_msg = "此次對話超過上限（對話一輪10次）"
-        raise gr.Error(error_msg)
-
 def handle_conversation_by_open_ai_assistant(client, user_message, instructions, assistant_id, thread_id=None, metadata=None, fallback=False):
     """
     Handles the creation and management of a conversation thread.
@@ -2433,6 +2328,41 @@ def handle_conversation_by_open_ai_assistant(client, user_message, instructions,
 
     return response_text, thread_id
 
+def verify_message_length(user_message, max_length=500):
+    # 驗證用戶消息的長度
+    if len(user_message) > max_length:
+        error_msg = "你的訊息太長了，請縮短訊息長度至五百字以內"
+        raise gr.Error(error_msg)
+
+def check_questions_answers(user_message, questions_answers_json):
+    """檢查問答是否存在，並處理相關邏輯"""
+    is_questions_answers_exists = False
+    answer = ""
+    # 解析問答數據
+    if isinstance(questions_answers_json, str):
+        qa_data = json.loads(questions_answers_json)
+    else:
+        qa_data = questions_answers_json
+    
+    question_message = ""
+    answer_message = ""
+    for qa in qa_data:
+        if user_message == qa["question"] and qa["answer"]:
+            is_questions_answers_exists = True
+            question_message = f"【預設問題】{user_message}"
+            answer_message = qa["answer"]
+            print("=== in questions_answers_json==")
+            print(f"question: {qa['question']}")
+            print(f"answer: {answer_message}")
+            break  # 匹配到答案後退出循環
+
+    return is_questions_answers_exists, question_message, answer_message
+
+def verify_chat_limit(chat_history, chat_limit):
+    if chat_history is not None and len(chat_history) > chat_limit:
+        error_msg = "此次對話超過上限（對話一輪10次）"
+        raise gr.Error(error_msg)
+
 def update_chat_history(user_message, response, chat_history):
     # 更新聊天歷史的邏輯
     new_chat_history = (user_message, response)
@@ -2661,7 +2591,8 @@ def chatbot_select(chatbot_name):
         chatbot_open_ai_streaming_visible = gr.update(visible=True)
     else:
         chatbot_jutor_visible = gr.update(visible=True)
-        ai_name_update = gr.update(value=chatbot_name) 
+    
+    ai_name_update = gr.update(value=chatbot_name) 
         
     return chatbot_select_accordion_visible, all_chatbot_select_btn_visible, chatbot_open_ai_visible, chatbot_open_ai_streaming_visible, chatbot_jutor_visible, ai_name_update
 
@@ -2833,6 +2764,18 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
     with gr.Tab("AI小精靈"):
         with gr.Row():
             all_chatbot_select_btn = gr.Button("選擇 AI 小精靈 👈", elem_id="all_chatbot_select_btn", visible=False, variant="secondary", size="sm")
+            ai_name = gr.Dropdown(
+                label="選擇 AI 助理", 
+                choices=[
+                    ("飛特精靈","chatbot_open_ai"), 
+                    ("飛特音速","chatbot_open_ai_streaming"), 
+                    ("梨梨","lili"), 
+                    ("麥麥","maimai"), 
+                    ("狐狸貓","foxcat")
+                ], 
+                value="foxcat",
+                visible=False
+            )
         with gr.Accordion("選擇 AI 小精靈", elem_id="chatbot_select_accordion") as chatbot_select_accordion:
             with gr.Row():
                 user_avatar = "https://em-content.zobj.net/source/google/263/flushed-face_1f633.png"
@@ -2927,6 +2870,7 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
                 with gr.Row():
                     chatbot = gr.Chatbot(avatar_images=[user_avatar, bot_avatar], label="OPEN AI", show_share_button=False, likeable=True, show_label=False, latex_delimiters=latex_delimiters,value=chatbot_greeting)
                 with gr.Row():
+                    chatbot_ai_type = gr.Textbox(value="assistant", visible=False)
                     thread_id = gr.Textbox(label="thread_id", visible=False)
                     socratic_mode_btn = gr.Checkbox(label="蘇格拉底家教助理模式", value=True, visible=False)
                 with gr.Row():
@@ -2972,18 +2916,12 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
                     💤 精靈們體力都有限，每一次學習只能回答十個問題，請讓我休息一下再問問題喔！
                     """,
                 ]]
-                ai_name = gr.Dropdown(
-                    label="選擇 AI 助理", 
-                    choices=[
-                        ("梨梨","lili"), 
-                        ("麥麥","maimai"), 
-                        ("狐狸貓","foxcat")
-                    ], 
-                    value="foxcat",
-                    visible=False
-                )
-                ai_chatbot = gr.Chatbot(label="ai_chatbot", show_share_button=False, likeable=True, show_label=False, latex_delimiters=latex_delimiters, value=ai_chatbot_greeting)
-                ai_chatbot_socratic_mode_btn = gr.Checkbox(label="蘇格拉底家教助理模式", value=True, visible=False)
+                with gr.Row():
+                    ai_chatbot = gr.Chatbot(label="ai_chatbot", show_share_button=False, likeable=True, show_label=False, latex_delimiters=latex_delimiters, value=ai_chatbot_greeting)
+                with gr.Row():
+                    ai_chatbot_ai_type = gr.Textbox(value="chat_completions", visible=False)
+                    ai_chatbot_thread_id = gr.Textbox(label="thread_id", visible=False)
+                    ai_chatbot_socratic_mode_btn = gr.Checkbox(label="蘇格拉底家教助理模式", value=True, visible=False)
                 with gr.Row():
                     with gr.Accordion("你也有類似的問題想問嗎？ 請按下 ◀︎", open=False) as ask_questions_accordion_2:
                         ai_chatbot_question_1 = gr.Button("問題一")
@@ -3234,14 +3172,14 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
 
     # OPENAI ASSISTANT CHATBOT 模式
     send_button.click(
-        chat_with_opan_ai_assistant,
-        inputs=[password, video_id, user_data, thread_id, trascript_state, key_moments, msg, chatbot, content_subject, content_grade, questions_answers_json, socratic_mode_btn],
-        outputs=[msg, chatbot, thread_id, send_button, send_feedback_btn],
+        chat_with_any_ai,
+        inputs=[chatbot_ai_type, password, video_id, user_data, trascript_state, key_moments, msg, chatbot, content_subject, content_grade, questions_answers_json, socratic_mode_btn, thread_id, ai_name],
+        outputs=[msg, chatbot, send_button, send_feedback_btn, thread_id],
         scroll_to_output=True
     )
     send_feedback_btn.click(
-        feedback_with_opan_ai_assistant,
-        inputs=[thread_id, chatbot],
+        feedback_with_ai,
+        inputs=[chatbot_ai_type, chatbot, thread_id],
         outputs=[chatbot, send_feedback_btn],
         scroll_to_output=True
     )
@@ -3260,9 +3198,9 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
     )
     question_buttons = [btn_1, btn_2, btn_3]
     for question_btn in question_buttons:
-        inputs_list = [password, video_id, user_data, thread_id, trascript_state, key_moments, question_btn, chatbot, content_subject, content_grade, questions_answers_json, socratic_mode_btn]
-        outputs_list = [msg, chatbot, thread_id, send_button, send_feedback_btn]
-        setup_question_button_click(question_btn, inputs_list, outputs_list, chat_with_opan_ai_assistant)
+        inputs_list = [chatbot_ai_type, password, video_id, user_data, trascript_state, key_moments, question_btn, chatbot, content_subject, content_grade, questions_answers_json, socratic_mode_btn, thread_id, ai_name]
+        outputs_list = [msg, chatbot, send_button, send_feedback_btn, thread_id]
+        setup_question_button_click(question_btn, inputs_list, outputs_list, chat_with_any_ai)
 
     # 為生成問題按鈕設定特殊的點擊事件
     btn_create_question.click(
@@ -3273,23 +3211,23 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
 
     # 其他精靈 ai_chatbot 模式
     ai_send_button.click(
-        chat_with_ai,
-        inputs=[ai_name, password, video_id, user_data, trascript_state, key_moments, ai_msg, ai_chatbot, content_subject, content_grade, questions_answers_json, ai_chatbot_socratic_mode_btn],
-        outputs=[ai_msg, ai_chatbot, ai_send_button, ai_send_feedback_btn],
+        chat_with_any_ai,
+        inputs=[ai_chatbot_ai_type, password, video_id, user_data, trascript_state, key_moments, ai_msg, ai_chatbot, content_subject, content_grade, questions_answers_json, ai_chatbot_socratic_mode_btn, ai_chatbot_thread_id, ai_name],
+        outputs=[ai_msg, ai_chatbot, ai_send_button, ai_send_feedback_btn, ai_chatbot_thread_id],
         scroll_to_output=True
     )
     ai_send_feedback_btn.click(
         feedback_with_ai,
-        inputs=[ai_chatbot],
+        inputs=[ai_chatbot_ai_type, ai_chatbot, ai_chatbot_thread_id],
         outputs=[ai_chatbot, ai_send_feedback_btn],
         scroll_to_output=True
     )
     # 其他精靈 ai_chatbot 连接 QA 按钮点击事件
     ai_chatbot_question_buttons = [ai_chatbot_question_1, ai_chatbot_question_2, ai_chatbot_question_3]
     for question_btn in ai_chatbot_question_buttons:
-        inputs_list = [ai_name, password, video_id, user_data, trascript_state, key_moments, question_btn, ai_chatbot, content_subject, content_grade, questions_answers_json, ai_chatbot_socratic_mode_btn]
-        outputs_list = [ai_msg, ai_chatbot, ai_send_button, ai_send_feedback_btn]
-        setup_question_button_click(question_btn, inputs_list, outputs_list, chat_with_ai)
+        inputs_list = [ai_chatbot_ai_type, password, video_id, user_data, trascript_state, key_moments, question_btn, ai_chatbot, content_subject, content_grade, questions_answers_json, ai_chatbot_socratic_mode_btn, ai_chatbot_thread_id, ai_name]
+        outputs_list = [ai_msg, ai_chatbot, ai_send_button, ai_send_feedback_btn, ai_chatbot_thread_id]
+        setup_question_button_click(question_btn, inputs_list, outputs_list, chat_with_any_ai)
 
     ai_chatbot_audio_input.change(
         process_open_ai_audio_to_chatbot,