def generate_table_html(table_data, title, color):

raise gr.Error("網路塞車，或是內容有誤，請稍後重新嘗試！")

def update_assignment_data_html(assignment_data):

def generate_submission_html(submission_json):

timestamp_now = datetime.now(pytz.utc).astimezone(pytz.timezone('Asia/Taipei')).strftime("%Y-%m-%d %H:%M:%S")

user_submissions_json = self.gcs_service.download_as_string(self.bucket_name, f"users/{encoded_student_id_url}/submissions.json")

self.gcs_service.upload_json_string(self.bucket_name, f"users/{encoded_student_id_url}/submissions.json", json.dumps(user_submissions))

debug

encoded_user_id_url = urllib.parse.quote(user_id, safe='')

submission_id = _SubmissionService.submit_assignment(

_AssignmentService, _SubmissionService)

def submit_assignment(user_data, user_nickname, assignment_id, submission_content, file_name):

encoded_student_id_url = urllib.parse.quote(student_id, safe='')

user_nickname = gr.Textbox(label="User Nickname", value="", elem_id="jutor_user_nickname_input")

gr.Markdown("<span style='color:#4e80ee'>年級</span>", visible=False)

<a href="{assignment_data['assignment_url']}" target="_blank" style="display: inline-block; padding: 10px 15px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; transition: background-color 0.3s;" onmouseover="this.style.backgroundColor='#0056b3'" onmouseout="this.style.backgroundColor='#007bff'">點擊前往作業</a>

"中文寫作 AI 批改": "chinese",

gr.Markdown("### 📝 作業管理")

with gr.Tab("學生｜模擬繳交"):

assignment_introduction = gr.TextArea(label="寫作引文")

def update_submission_data_html(submission_json):

if "hf.space" in request_origin:

with gr.Tab("老師｜作業列表") as assignment_list_tab:

class AssignmentService:

with gr.Accordion("📚 中文段落練習歷程回顧", open=True) as chinese_grapragh_practice_logs_accordion:

gr.Error("請先登入")

1. 我給你兩篇文章，請進行比較跟批改，並給出建議，如果文章完全一樣，請給出回饋：「這兩篇文章內容完全一樣，無法進行評分。」，後續評分給予 level X，仍要輸出 JSON

gr.Markdown("# 作業模式")

# === Chinese ===

chinese_full_paragraph_input_history = content_json["chinese_full_paragraph_input"]

def get_chinese_paragraph_refine_evaluate_content(model, sys_content, paragraph_1, paragraph_2, user_refine_paragraph_prompt):

with gr.Tab("中文作文工具") as chinese_idea_tab:

if 評分與回饋都是 X，則整體評分給予 🔴。

gr.Markdown("# 🍄 CUTOR 國文段落寫作練習")

clean

fn=get_chinese_paragraph_practice_log_session_content,

GCS_SERVICE.upload_json_string("ai_assignment_submission", assignments_file_name, json.dumps(assignments_json))

if "assignment" in query_params:

def verify_moderation(text):

# 整體評分：(🔴？🟡？🟢？)

def verify_string_length(text):

while attempt < max_attempts:

topics = json.loads(content)["topics"]

raise gr.Error("網路塞車，請重新嘗試一次！")

# Check if it is a reasonable essay or paragraph before grading

def get_chinese_paragraph_practice_log_session_content(file_name):

debug

CUTOR_OPEN_AI_ASSISTANT_ID = os.getenv("CUTOR_OPEN_AI_ASSISTANT_ID")

content_json = content_list[1].replace("```", "")

chinese_full_paragraph_evaluate_output_text_history = content_json["chinese_full_paragraph_evaluate_output_text"] if "chinese_full_paragraph_evaluate_output_text" in content_json else ""