feedback_with_opan_ai_assistant

app.py

@@ -83,7 +83,7 @@ else:
 
 TRANSCRIPTS = []
 CURRENT_INDEX = 0
-CHAT_LIMIT = 10
+CHAT_LIMIT = 3
 
 # CLIENTS CONFIG
 GROQ_CLIENT = Groq(api_key=GROQ_API_KEY)
@@ -2220,7 +2220,7 @@ def chat_with_ai(ai_name, password, video_id, user_data, trascript_state, key_mo
         print(f"Error: {e}")
         return "请求失败，请稍后再试！", chat_history
 
-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, send_btn, socratic_mode=False):
+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, send_btn, send_feedback_btn, socratic_mode=False):
     verify_password(password)
 
     print("=====user_data=====")
@@ -2241,6 +2241,8 @@ def chat_with_opan_ai_assistant(password, youtube_id, user_data, thread_id, tras
             print(f"answer: {answer}")
             print(f"thread_id: {thread_id}")
             # 更新聊天历史
+            # user_message 前方加上【預設問題】
+            user_message = f"【預設問題】{user_message}"
             new_chat_history = (user_message, answer)
             if chat_history is None:
                 chat_history = [new_chat_history]
@@ -2253,11 +2255,13 @@ def chat_with_opan_ai_assistant(password, youtube_id, user_data, thread_id, tras
             if len(chat_history) > CHAT_LIMIT:
                 send_btn_value = f"對話已達上限 ({send_count}/{CHAT_LIMIT})"
                 send_btn = gr.update(value=send_btn_value, interactive=False)
+                send_feedback_btn_update = gr.update(visible=True)
             else:
                 send_btn_value = f"發送 ({send_count}/{CHAT_LIMIT})"
                 send_btn = gr.update(value=send_btn_value, interactive=True)
+                send_feedback_btn_update = send_feedback_btn
 
-            return "", chat_history, thread_id, send_btn
+            return "", chat_history, thread_id, send_btn, send_feedback_btn_update
 
     
     # 如果 chat_history 超過 10 則訊息，直接 return "對話超過上限"
@@ -2356,13 +2360,109 @@ def chat_with_opan_ai_assistant(password, youtube_id, user_data, thread_id, tras
     if len(chat_history) > CHAT_LIMIT:
         send_btn_value = f"對話已達上限 ({send_count}/{CHAT_LIMIT})"
         send_btn = gr.update(value=send_btn_value, interactive=False)
+        send_feedback_btn_update = gr.update(visible=True)
     else:
         send_btn_value = f"發送 ({send_count}/{CHAT_LIMIT})"
         send_btn = gr.update(value=send_btn_value, interactive=True)
+        send_feedback_btn_update = send_feedback_btn
 
 
     # 返回聊天历史和空字符串清空输入框
-    return "", chat_history, thread.id, send_btn
+    return "", chat_history, thread.id, send_btn, 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，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，像是？、！、...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:
+        ���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！
+    """
+
+
+    try:
+        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
+
+        # 创建线程
+        if not thread_id:
+            thread = client.beta.threads.create(
+
+            )
+            thread_id = thread.id
+        else:
+            thread = client.beta.threads.retrieve(thread_id)     
+
+        # 向线程添加用户的消息
+        client.beta.threads.messages.create(
+            thread_id=thread.id,
+            role="user",
+            content=user_content
+        )
+
+        # 运行助手，生成响应
+        run = client.beta.threads.runs.create(
+            thread_id=thread.id,
+            assistant_id=assistant_id,
+            instructions=system_content,
+        )
+
+        # 等待助手响应，设定最大等待时间为 30 秒
+        run_status = poll_run_status(run.id, thread.id, timeout=30)
+        # 获取助手的响应消息
+        if run_status == "completed":
+            messages = client.beta.threads.messages.list(thread_id=thread.id)
+            # [MessageContentText(text=Text(annotations=[], value='您好！有什麼我可以幫助您的嗎？如果有任何問題或需要指導，請隨時告訴我！'), type='text')]
+            response_text = messages.data[0].content[0].text.value
+        else:
+            response_text = "學習精靈有點累，請稍後再試！"
+
+    except Exception as e:
+        response_text = OPEN_AI_CLIENT.chat.completions.create(
+            model="gpt-4-turbo",
+            messages=[
+                {"role": "system", "content": system_content},
+                {"role": "user", "content": user_content}
+            ],
+            max_tokens=4000,
+        ).choices[0].message.content.strip()
+    
+    new_chat_history = (feedback_request_message, response_text)
+    if chat_history is None:
+        chat_history = [new_chat_history]
+    else:
+        chat_history.append(new_chat_history)
+
+    feedback_btn_update = gr.update(value="已回饋", interactive=False, variant="secondary")
+
+    return chat_history, feedback_btn_update
 
 def process_open_ai_audio_to_chatbot(password, audio_url):
     verify_password(password)
@@ -2816,6 +2916,7 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
                 with gr.Row():
                     msg = gr.Textbox(label="訊息",scale=3)
                     send_button = gr.Button("送出", variant="primary", scale=1)
+                    send_feedback_btn = gr.Button("提問力回饋", variant="primary", scale=1, visible=False)
         with gr.Row("飛特音速") as chatbot_open_ai_streaming:
             with gr.Column():
                 streaming_chat_greeting = """
@@ -3108,8 +3209,14 @@ 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, send_button, socratic_mode_btn],
-        outputs=[msg, chatbot, thread_id, send_button],
+        inputs=[password, video_id, user_data, thread_id, trascript_state, key_moments, msg, chatbot, content_subject, content_grade, questions_answers_json, send_button, send_feedback_btn, socratic_mode_btn],
+        outputs=[msg, chatbot, thread_id, send_button, send_feedback_btn],
+        scroll_to_output=True
+    )
+    send_feedback_btn.click(
+        feedback_with_opan_ai_assistant,
+        inputs=[thread_id, chatbot],
+        outputs=[chatbot, send_feedback_btn],
         scroll_to_output=True
     )
     openai_chatbot_audio_input.change(
@@ -3127,8 +3234,8 @@ 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, send_button, socratic_mode_btn]
-        outputs_list = [msg, chatbot, thread_id, send_button]
+        inputs_list = [password, video_id, user_data, thread_id, trascript_state, key_moments, question_btn, chatbot, content_subject, content_grade, questions_answers_json, send_button, send_feedback_btn, 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)
 
     # 為生成問題按鈕設定特殊的點擊事件
@@ -3145,12 +3252,12 @@ with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, seconda
         outputs=[ai_msg, ai_chatbot, ai_send_button],
         scroll_to_output=True
     )
-    # 其他精靈 ai_chatbot 连接按钮点击事件
-    ai_chatbot_buttons = [ai_chatbot_question_1, ai_chatbot_question_2, ai_chatbot_question_3]
-    for ai_question_btn in ai_chatbot_buttons:
-        inputs_list = [ai_name, password, video_id, user_data, trascript_state, key_moments, ai_question_btn, ai_chatbot, content_subject, content_grade, questions_answers_json, ai_send_button, ai_chatbot_socratic_mode_btn]
+    # 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_send_button, ai_chatbot_socratic_mode_btn]
         outputs_list = [ai_msg, ai_chatbot, ai_send_button]
-        setup_question_button_click(ai_question_btn, inputs_list, outputs_list, chat_with_ai)
+        setup_question_button_click(question_btn, inputs_list, outputs_list, chat_with_ai)
 
     # file_upload.change(process_file, inputs=file_upload, outputs=df_string_output)
     # file_upload.change(process_file, inputs=file_upload, outputs=[btn_1, btn_2, btn_3, df_summarise, df_string_output])