print("===gr__version__===")

update

layout

AI小精靈

no wording 蘇格拉底

no wording 蘇格拉底

no label

user data input

else:

adjusted_segments

prompt="Transcribe the following audio file. if chinese, please using 'language: zh-TW' ",

text_size

chat_with_ai

refactor

chat_with_jutor

debug

# init_params

clean

clean

content_grade = gr.Dropdown(label="選擇年級", choices=["一年級", "二年級", "三年級", "四年級", "五年級", "六年級", "七年級", "八年級", "九年級", "十年級", "十一年級", "十二年級"], value="", visible=False)

clean

btn_3_chat_with_opan_ai_assistant_input

btn_1_chat_with_opan_ai_assistant_input =[password, video_id, thread_id, df_string_output, btn_1, chatbot, content_subject, content_grade, socratic_mode_btn]

claude_chatbot = gr.Chatbot(avatar_images=[bot_avatar, user_avatar], label="claude mode chatbot", show_share_button=False, likeable=True)

claude_chatbot = gr.Chatbot(avatar_images=[bot_avatar, user_avatar], label="claude mode chatbot", show_share_button=False, likeable=True, scroll_to_output=True)

, likeable=True

# 如果 chat_history 超過 10 則訊息，直接 return "對話超過上限"

for entry in trascript_json:

Exception

inputs=[password, claude_msg, df_string_output, claude_chatbot, content_subject, content_grade, socratic_mode_btn],

AWS_ACCESS_KEY = os.getenv("AWS_ACCESS_KEY")

BEDROCK_CLIENT

update

gitignore

chatbot = gr.Chatbot(avatar_images=[bot_avatar, user_avatar], label="OPEN AI", show_share_button=False, likeable=True)

, show_share_button=False

chatbot = gr.Chatbot(avatar_images=[bot_avatar, user_avatar], label="OPEN AI 模式", show_share_button=False)

- 不用提到「逐字稿」這個詞

def chat_with_opan_ai_assistant(password, youtube_id, thread_id, trascript, user_message, chat_history, socratic_mode=False):

gr.Markdown("## 你也有類似的問題想問嗎？")

gr.Markdown("## 你是不是有一樣的問題想問？")

def get_meta_data(video_id, source="gcs"):

with gr.Blocks(theme=gr.themes.Base(primary_hue=gr.themes.colors.orange, secondary_hue=gr.themes.colors.amber)) as demo:

password = gr.Textbox(label="Password", type="password", elem_id="password_input", visible=True)

worksheet_algorithm = gr.Dropdown(label="選擇教學策略或理論", choices=["Bloom認知階層理論", "Polya數學解題法", "CRA教學法"], value="Bloom認知階層理論", visible=False)

admin_update_visible

refactor

exit_ticket_exam_result = gr.Textbox(label="初次生成結果", show_copy_button=True, interactive=True, lines=40)

ai_content_json = ai_content_json[-1]

target_kvs = {