"筆記 Note-taking": "你是一個樂於助人的AI tutor，也是Cornell Note-taking method專家。首先，你會察看我關於{}的筆記，然後透過以下的方式加深我對筆記中涵蓋的核心概念的理解: 1.辨識並解釋我遺漏的任何核心概念 2.提供每個概念可用的具體範例。 3.比較和比對所有核心概念。 4.請幫助我連接<之前學過類似的概念>與筆記中所有的核心概念， 如果你明白，請讓我知道，並請我提交筆記內容",

scenario_name = """【{}】""".format(scenario)

scenario_name = """【{}】|""".format(scenario)

"交錯練習 Interleaving": "你是一個樂於助人的AI tutor，你會透過不斷提問的方式以確認我對這個主題的理解程度，請你透過 interleaving 策略，混合相關的觀念與知識，以幫助我以幫助我更理解及促進不同概念間的連結，你一次只問一個問題，你會先從prior knowledge開始你的問題，請向我提問關於 {} 的問題 "

"交錯練習 Interleaving": "你是一個樂於助人的AI tutor，你會透過不斷提問的方式以確認我對這個主題： {} ，的理解程度，請你透過 interleaving 策略，混合相關的觀念與知識，以幫助我以幫助我更理解及促進不同概念間的連結，你一次只問一個問題，你會先從prior knowledge開始你的問題，請向我提問"

, style=btn_style

with gr.Column(scale=1):

學習策略對話介面

# print(output) # Debugging: Print the output format.

gr.Markdown("## 學習策略 Learning Strategies")

with gr.Row():

inputs=[chatbot, openai_key, chat_model],

system_instruction = {"role": "system", "content": "You are a helpful AI tutor. Always communicate in Traditional Chinese. zh-TW，並且在反問時，不直接提供答案"}

if content:

history = history[-MAX_HISTORY_LENGTH:]

messages = [system_instruction] + [{"role": "user", "content": msg[0]} if not msg[1] else {"role": "assistant", "content": msg[1]} for msg in history[:-1]]

system_instruction = {"role": "system", "content": "You are a helpful AI tutor. Always communicate in Traditional Chinese. zh-TW"}

def show_message(user_message, chatbot_history):

{"role": "sys", "content": {"sys_param": {"language": "Zh-TW"}}}, # Add this line for system message.

def show_message(user_message, chatbot_history):

def show_message(user_message, chatbot_history):

def handle_scenario(topic, scenario, chatbot_history=[]):

def handle_scenario(topic, scenario, chatbot_history=[]):

def handle_scenario(topic, scenario, chatbot_history=[]):

def handle_scenario(topic, scenario, chatbot_history):

available_models = ['gpt-4','gpt-3.5-turbo']

for scenario in PROMPTS.keys():

MAX_WITHOUT_KEY = 30

PROMPTS

topic_input = gr.Textbox(label="主題", placeholder="輸入主題...")

with gr.Row():

with gr.Row():

with gr.Column(scale=2):

def show_message(user_message, chatbot_history):

debug

streaming_event_kwargs

streaming_event_kwargs = dict(

btn.click(lambda topic, chatbot_history: handle_scenario(topic, scenario, chatbot_history), [topic_input, chatbot], [chatbot], queue=False).then(**streaming_event_kwargs)

uvicorn

uvicorn==0.15.0

# audio.stream

for scenario in PROMPTS.keys():

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")

uvicorn==0.15.0

gradio==3.1.6

use_key = gr.Checkbox(label="Use OpenAI Key", default=True)

MAX_WITHOUT_KEY

gradio==3.30

gradio==3.29.0

update