diff --git a/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/Gradio.app.py b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/Gradio.app.py
new file mode 100644
index 00000000..69cd9f89
--- /dev/null
+++ b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/Gradio.app.py
@@ -0,0 +1,803 @@
+import re
+import os
+import time
+import socket
+import signal
+import random
+import json
+import subprocess
+import threading
+import openai
+import gradio as gr
+
+# ========== FastDeploy Server Config ==========
+
+FD_MODEL = "baidu/ERNIE-4.5-0.3B-Paddle"
+FD_HOST = "0.0.0.0"
+FD_PORT = 8180
+FD_METRICS_PORT = 8181
+FD_WORKER_QUEUE_PORT = 8182
+FD_MAX_MODEL_LEN = 32768
+FD_MAX_NUM_SEQS = 32
+FD_NUM_GPU_BLOCKS_OVERRIDE = 4896
+
+fd_server_process = None
+fd_server_log = []
+client = None
+active_backend = None  # None / "fastdeploy" / "openai"
+model_name = "null"  # model string passed to the API
+
+def is_port_in_use(port):
+    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+        return s.connect_ex(("127.0.0.1", port)) == 0
+
+def kill_process_on_port(port):
+    try:
+        result = subprocess.run(["lsof", "-t", "-i", f":{port}"], capture_output=True, text=True)
+        pids = result.stdout.strip().split('\n')
+        for pid_str in pids:
+            pid_str = pid_str.strip()
+            if pid_str:
+                pid = int(pid_str)
+                os.kill(pid, signal.SIGKILL)
+                time.sleep(1)
+    except (subprocess.CalledProcessError, FileNotFoundError, ValueError, ProcessLookupError):
+        try:
+            subprocess.run(["fuser", "-k", f"{port}/tcp"], capture_output=True)
+        except FileNotFoundError:
+            pass
+
+def read_server_log():
+    global fd_server_process, fd_server_log
+    if fd_server_process is None:
+        return
+    for line in iter(fd_server_process.stdout.readline, b""):
+        decoded = line.decode("utf-8", errors="replace").rstrip()
+        fd_server_log.append(decoded)
+    for line in iter(fd_server_process.stderr.readline, b""):
+        decoded = line.decode("utf-8", errors="replace").rstrip()
+        fd_server_log.append(decoded)
+
+def start_fd_server(model, host, port, metrics_port, worker_queue_port,
+                    max_model_len, max_num_seqs, num_gpu_blocks_override):
+    global fd_server_process, client, fd_server_log, active_backend, model_name
+    if active_backend == "openai":
+        disconnect_openai()
+    if fd_server_process is not None and fd_server_process.poll() is None:
+        return "Server is already running."
+
+    if is_port_in_use(int(port)):
+        kill_process_on_port(int(port))
+        time.sleep(2)
+
+    os.environ["ENABLE_V1_KVCACHE_SCHEDULER"] = "1"
+    os.environ["CUDA_VISIBLE_DEVICES"] = "0"
+
+    cmd = [
+        "python", "-m", "fastdeploy.entrypoints.openai.api_server",
+        "--model", model,
+        "--host", host,
+        "--port", str(port),
+        "--metrics-port", str(metrics_port),
+        "--engine-worker-queue-port", str(worker_queue_port),
+        "--max-model-len", str(max_model_len),
+        "--max-num-seqs", str(max_num_seqs),
+        "--num-gpu-blocks-override", str(num_gpu_blocks_override),
+    ]
+    fd_server_process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    fd_server_log = []
+    threading.Thread(target=read_server_log, daemon=True).start()
+    client = openai.Client(base_url=f"http://{host}:{port}/v1", api_key="null")
+    model_name = "null"
+    active_backend = "fastdeploy"
+    return f"Server started (PID: {fd_server_process.pid})"
+
+def stop_fd_server():
+    global fd_server_process, client, active_backend, model_name
+    if fd_server_process is None or fd_server_process.poll() is not None:
+        return "Server is not running."
+    fd_server_process.terminate()
+    try:
+        fd_server_process.wait(timeout=10)
+    except subprocess.TimeoutExpired:
+        fd_server_process.kill()
+        fd_server_process.wait()
+    fd_server_process = None
+    client = None
+    active_backend = None
+    model_name = "null"
+    return "Server stopped."
+
+def get_fd_status():
+    global fd_server_process
+    if fd_server_process is None:
+        return "stopped"
+    rc = fd_server_process.poll()
+    if rc is None:
+        return "running"
+    return f"exited (code: {rc})"
+
+def check_fd_health():
+    global client
+    if client is None:
+        return "Client not initialized."
+    try:
+        client.models.list()
+        return "OK"
+    except Exception as e:
+        return f"Unreachable: {e}"
+
+def get_fd_log():
+    global fd_server_log
+    return "\n".join(fd_server_log[-200:])
+
+# ========== OpenAI API Backend ==========
+
+OA_DEFAULT_BASE_URL = "https://api.openai.com/v1"
+OA_DEFAULT_API_KEY = ""
+OA_DEFAULT_MODEL = "gpt-4o-mini"
+
+def connect_openai(base_url, api_key, oa_model):
+    global client, active_backend, model_name
+    if active_backend == "fastdeploy":
+        stop_fd_server()
+    if not base_url.strip():
+        return "Base URL is required."
+    if not api_key.strip():
+        return "API key is required."
+    try:
+        client = openai.Client(base_url=base_url.rstrip("/"), api_key=api_key)
+        client.models.list()
+        model_name = oa_model.strip() or "gpt-4o-mini"
+        active_backend = "openai"
+        return f"Connected to {model_name} @ {base_url}"
+    except Exception as e:
+        client = None
+        active_backend = None
+        model_name = "null"
+        return f"Connection failed: {e}"
+
+def disconnect_openai():
+    global client, active_backend, model_name
+    client = None
+    active_backend = None
+    model_name = "null"
+    return "Disconnected."
+
+def get_oa_status():
+    global active_backend
+    if active_backend == "openai":
+        return "connected"
+    return "disconnected"
+
+def check_oa_health():
+    global client
+    if client is None or active_backend != "openai":
+        return "Not connected."
+    try:
+        client.models.list()
+        return "OK"
+    except Exception as e:
+        return f"Unreachable: {e}"
+
+def get_active_backend_label():
+    global active_backend
+    if active_backend == "fastdeploy":
+        return "FastDeploy (local)"
+    if active_backend == "openai":
+        return "OpenAI API (remote)"
+    return "None"
+
+# ========== Game Config ==========
+
+DIFFICULTY_MULTIPLIERS = {1: 1.0, 2: 1.2, 3: 1.5, 4: 2.0, 5: 2.5}
+DIFFICULTY_TIME_LIMITS = {1: 30, 2: 25, 3: 20, 4: 18, 5: 15}
+DIFFICULTY_SENTENCE_LENGTH = {1: 10, 2: 20, 3: 30, 4: 40, 5: 50}
+BASE_SCORE = 10
+TIME_BONUS_FACTOR = 0.5
+STREAK_BONUS = 2
+TIMED_MODE_QUESTIONS = 10
+MAX_RETRIES = 2
+
+# ========== Question Generation ==========
+
+def build_sentence_prompt(difficulty):
+    target_len = DIFFICULTY_SENTENCE_LENGTH.get(difficulty, 12)
+    return f"请生成一句约 {target_len} 个词的英文句子。"
+
+def generate_sentence(difficulty):
+    prompt = build_sentence_prompt(difficulty)
+    for attempt in range(MAX_RETRIES + 1):
+        try:
+            response = client.chat.completions.create(
+                model=model_name,
+                messages=[{"role": "user", "content": prompt}],
+                temperature=0.8, top_p=0.95, max_tokens=128, stream=False,
+            )
+            text = response.choices[0].message.content.strip()
+            if text and len(text.split()) >= 4:
+                return text
+        except Exception as e:
+            print(f"generate_sentence: error (attempt {attempt + 1}): {e}")
+    return ""
+
+def _is_valid_english_word(w):
+    if not isinstance(w, str) or not w.strip():
+        return False
+    if re.search(r'[\u4e00-\u9fff\u3000-\u303f\uff00-\uffef]', w):
+        return False
+    if re.match(r'option\d+$', w, re.IGNORECASE):
+        return False
+    if re.match(r'^[a-zA-Z\'-]+$', w) is None:
+        return False
+    return True
+
+def get_synonyms(word):
+    prompt = f"""请为英文单词 "{word}" 提供 5 个同义词或近义词。以 json 格式返回
+{{
+    "synonyms": [
+    ]
+}}"""
+    for attempt in range(MAX_RETRIES + 1):
+        try:
+            response = client.chat.completions.create(
+                model=model_name,
+                messages=[{"role": "user", "content": prompt}],
+                temperature=0.6, top_p=0.9, max_tokens=128, stream=False,
+            )
+            text = response.choices[0].message.content.strip()
+            try:
+                data = json.loads(text)
+                syns = data.get("synonyms", [])
+            except json.JSONDecodeError:
+                match = re.search(r'\{[\s\S]*?\}', text)
+                if match:
+                    try:
+                        data = json.loads(match.group())
+                        syns = data.get("synonyms", [])
+                    except json.JSONDecodeError:
+                        syns = []
+                else:
+                    syns = []
+            syns = [w for w in syns if isinstance(w, str) and w.lower() != word.lower()]
+            syns = [w for w in syns if _is_valid_english_word(w)]
+            if len(syns) < 2:
+                raise ValueError("not enough valid English synonyms")
+            return random.sample(syns, 2)
+        except Exception as e:
+            print(f"get_synonyms('{word}'): error (attempt {attempt + 1}): {e}")
+    return []
+
+def pick_cloze_word(sentence):
+    skip_words = {
+        'a', 'an', 'the', 'is', 'are', 'was', 'were', 'be', 'been', 'being',
+        'am', 'do', 'does', 'did', 'have', 'has', 'had', 'having',
+        'will', 'would', 'shall', 'should', 'can', 'could', 'may', 'might', 'must',
+        'i', 'you', 'he', 'she', 'it', 'we', 'they', 'me', 'him', 'her', 'us', 'them',
+        'my', 'your', 'his', 'its', 'our', 'their', 'mine', 'yours', 'hers', 'ours',
+        'this', 'that', 'these', 'those',
+        'in', 'on', 'at', 'to', 'for', 'of', 'with', 'by', 'from', 'up', 'down',
+        'out', 'off', 'over', 'under', 'about', 'into', 'through', 'after', 'before',
+        'between', 'among', 'during', 'until', 'since',
+        'and', 'or', 'but', 'not', 'nor', 'so', 'yet', 'if', 'then',
+        'as', 'than', 'when', 'while', 'where', 'how', 'what', 'which', 'who',
+        'very', 'too', 'also', 'just', 'only', 'even', 'still', 'already',
+        'no', 'yes', 'all', 'each', 'every', 'both', 'any', 'some',
+        'here', 'there', 'now', 'never', 'always', 'often',
+    }
+    words = []
+    for match in re.finditer(r"[a-zA-Z']+", sentence):
+        words.append((match.group(), match.start(), match.end()))
+    candidates = [(w, s, e) for w, s, e in words if w.lower() not in skip_words and len(w) >= 3]
+    if not candidates:
+        candidates = [(w, s, e) for w, s, e in words if w.lower() not in skip_words and len(w) >= 2]
+    if not candidates:
+        return None
+    chosen = random.choice(candidates)
+    return chosen[0], chosen[1], chosen[2]
+
+def build_cloze_question(sentence, word, start, end, synonyms):
+    answer = word
+    options = [answer]
+    for syn in synonyms:
+        if syn.lower() != answer.lower() and syn not in options:
+            options.append(syn)
+    while len(options) < 3:
+        options.append(f"option{len(options)}")
+    options = options[:3]
+    random.shuffle(options)
+    options_str = ', '.join(options)
+    question_text = sentence[:start] + f'[{options_str}]' + sentence[end:]
+    return question_text, options, answer
+
+def get_question(difficulty):
+    for attempt in range(MAX_RETRIES + 1):
+        try:
+            sentence = generate_sentence(difficulty)
+            sentence = sentence.strip('"\'')
+            if not sentence or len(sentence.split()) < 4:
+                continue
+            pick_result = pick_cloze_word(sentence)
+            if pick_result is None:
+                continue
+            word, start, end = pick_result
+            synonyms = get_synonyms(word)
+            if len(synonyms) < 2:
+                continue
+            question_text, options, answer = build_cloze_question(sentence, word, start, end, synonyms)
+            return question_text, options, answer
+        except Exception as e:
+            print(f"Error generating question (attempt {attempt + 1}): {e}")
+    return None
+
+# ========== Game State ==========
+
+class GameState:
+    def __init__(self):
+        self.reset()
+
+    def reset(self):
+        self.score = 0
+        self.difficulty = 1
+        self.streak = 0
+        self.mode = "arcade"
+        self.remaining_questions = TIMED_MODE_QUESTIONS
+        self.total_correct = 0
+        self.current_question = None
+        self.game_active = False
+        self.start_time = 0
+
+    def get_time_limit(self):
+        return DIFFICULTY_TIME_LIMITS.get(min(self.difficulty, 5), 15)
+
+    def calculate_score(self, time_remaining):
+        diff_key = min(self.difficulty, 5)
+        multiplier = DIFFICULTY_MULTIPLIERS[diff_key]
+        time_bonus = time_remaining * TIME_BONUS_FACTOR
+        streak_bonus = self.streak * STREAK_BONUS
+        total = int(BASE_SCORE * multiplier + time_bonus + streak_bonus)
+        return max(total, 1)
+
+game = GameState()
+
+# ========== Countdown Timer HTML ==========
+
+TIMEOUT_SENTINEL = "__TIMEOUT__"
+
+_timer_counter = 0
+
+def build_timer_html(time_limit, mode="arcade"):
+    global _timer_counter
+    if mode != "timed":
+        return "<div></div>"
+    # CSS-only countdown: no <script> tags (Gradio strips them).
+    # Uses @keyframes animation + CSS counter to visually decrement.
+    # The actual timeout is handled server-side via gr.Timer.
+    # A unique suffix per call forces the browser to treat each update as a
+    # fresh animation (same id/name would cause the browser to skip restart).
+    _timer_counter += 1
+    uid = _timer_counter
+    steps_css = ""
+    for i in range(time_limit, -1, -1):
+        pct = (time_limit - i) / time_limit * 100
+        steps_css += f"  {pct:.4f}% {{ counter-set: tick{uid} {i}; }}\n"
+    return f"""<style>
+@keyframes countdown{uid} {{
+{steps_css}}}
+#cd-wrap{uid} {{
+  text-align: center; padding: 8px;
+  font-size: 28px; font-weight: bold; font-family: monospace;
+  counter-reset: tick{uid} {time_limit};
+  animation: countdown{uid} {time_limit}s linear forwards;
+}}
+#cd-wrap{uid}::after {{ content: counter(tick{uid}) "s"; }}
+</style>
+<div id="cd-wrap{uid}"></div>"""
+
+# ========== Gradio Callbacks ==========
+
+def start_game(mode_choice):
+    game.reset()
+    game.mode = mode_choice
+    game.game_active = True
+
+    question_data = get_question(game.difficulty)
+    if question_data is None:
+        return (
+            "Failed to generate question. Please try again.",
+            gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),
+            "", "", "", "", "",
+            build_timer_html(0),
+        )
+
+    game.current_question = question_data
+    game.start_time = time.time()
+
+    q_text, options, answer = question_data
+    display_text = re.sub(r'\[[^\]]+\]', '___', q_text)
+
+    time_limit = game.get_time_limit()
+    if game.mode == "arcade":
+        info = f"Arcade | Diff: {game.difficulty} | Time: {time_limit}s"
+    else:
+        info = f"Timed | Q: 0/{TIMED_MODE_QUESTIONS} | Time: {time_limit}s"
+
+    return (
+        display_text,
+        gr.update(value=options[0], visible=True),
+        gr.update(value=options[1], visible=True),
+        gr.update(value=options[2], visible=True),
+        str(game.score), str(game.streak), str(game.difficulty),
+        info, "",
+        build_timer_html(time_limit, game.mode),
+    )
+
+def handle_answer(selected_option):
+    if not game.game_active or game.current_question is None:
+        return (
+            "Game is not active. Please start a new game.",
+            gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),
+            "", "", "", "", "",
+            build_timer_html(0),
+        )
+
+    q_text, options, correct_answer = game.current_question
+    elapsed = time.time() - game.start_time
+    time_remaining = max(game.get_time_limit() - elapsed, 0)
+    is_timeout = (selected_option == TIMEOUT_SENTINEL)
+    is_correct = False if is_timeout else (selected_option == correct_answer)
+
+    def fail(msg):
+        feedback = msg
+        if game.mode == "arcade":
+            game.game_active = False
+            summary = (
+                f"\n--- GAME OVER ---\n"
+                f"Final Score: {game.score} | Max Streak: {game.streak} | "
+                f"Difficulty Reached: {game.difficulty}"
+            )
+            return (
+                feedback + summary,
+                gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),
+                str(game.score), str(game.streak), str(game.difficulty),
+                "Game Over", "",
+                build_timer_html(0),
+            )
+        else:
+            game.remaining_questions -= 1
+            if game.remaining_questions <= 0:
+                game.game_active = False
+                summary = (
+                    f"\n--- ALL QUESTIONS DONE ---\n"
+                    f"Final Score: {game.score} | Correct: {game.total_correct}/{TIMED_MODE_QUESTIONS}"
+                )
+                return (
+                    feedback + summary,
+                    gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),
+                    str(game.score), str(game.streak), str(game.difficulty),
+                    "Game Over", "",
+                    build_timer_html(0),
+                )
+            return _next_question(feedback)
+
+    def _next_question(feedback):
+        question_data = get_question(game.difficulty)
+        if question_data is None:
+            game.game_active = False
+            return (
+                feedback + "\nFailed to generate next question. Game ended.",
+                gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),
+                str(game.score), str(game.streak), str(game.difficulty),
+                "Error", "",
+                build_timer_html(0),
+            )
+
+        game.current_question = question_data
+        game.start_time = time.time()
+
+        new_q_text, new_options, _ = question_data
+        display_text = re.sub(r'\[[^\]]+\]', '___', new_q_text)
+        time_limit = game.get_time_limit()
+
+        if game.mode == "arcade":
+            info = f"Arcade | Diff: {game.difficulty} | Time: {time_limit}s | Streak: {game.streak}"
+        else:
+            info = f"Timed | Q: {game.total_correct}/{TIMED_MODE_QUESTIONS - game.remaining_questions} | Time: {time_limit}s"
+
+        return (
+            display_text,
+            gr.update(value=new_options[0], visible=True),
+            gr.update(value=new_options[1], visible=True),
+            gr.update(value=new_options[2], visible=True),
+            str(game.score), str(game.streak), str(game.difficulty),
+            info, feedback,
+            build_timer_html(time_limit, game.mode),
+        )
+
+    if not is_correct:
+        msg = "Time's up! " if is_timeout else ""
+        msg += f"The correct answer is: {correct_answer}"
+        return fail(msg)
+
+    if game.mode == "arcade":
+        game.streak += 1
+        earned = game.calculate_score(time_remaining)
+        game.score += earned
+        feedback = f"Correct! +{earned} points (Time bonus: {time_remaining:.1f}s)"
+        if game.difficulty < 5:
+            game.difficulty += 1
+    else:
+        game.remaining_questions -= 1
+        game.total_correct += 1
+        game.streak += 1
+        earned = game.calculate_score(time_remaining)
+        game.score += earned
+        feedback = f"Correct! +{earned} points (Time bonus: {time_remaining:.1f}s)"
+        if game.difficulty < 5:
+            game.difficulty += 1
+
+        if game.remaining_questions <= 0:
+            game.game_active = False
+            summary = (
+                f"\n--- ALL QUESTIONS DONE ---\n"
+                f"Final Score: {game.score} | Correct: {game.total_correct}/{TIMED_MODE_QUESTIONS}"
+            )
+            return (
+                feedback + summary,
+                gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),
+                str(game.score), str(game.streak), str(game.difficulty),
+                "Game Over", "",
+                build_timer_html(0),
+            )
+
+    return _next_question(feedback)
+
+# ========== Gradio UI ==========
+
+with gr.Blocks(title="English Cloze Challenge", theme=gr.themes.Soft()) as demo:
+    with gr.Tabs():
+        # ==================== Game Tab ====================
+        with gr.Tab("Game"):
+            gr.Markdown("# English Cloze Challenge")
+            backend_label = gr.Textbox(label="Active Backend", value=get_active_backend_label(), interactive=False)
+            gr.Markdown("Select a game mode and answer cloze questions to earn points!")
+
+            with gr.Row():
+                with gr.Column(scale=1):
+                    mode_radio = gr.Radio(
+                        choices=["arcade", "timed"],
+                        value="timed",
+                        label="Game Mode",
+                        info="Arcade: game over on wrong answer | Timed: answer 10 questions",
+                    )
+                    start_btn = gr.Button("Start Game", variant="primary")
+
+                with gr.Column(scale=2):
+                    info_text = gr.Textbox(label="Game Info", interactive=False)
+                    feedback_text = gr.Textbox(label="Feedback", interactive=False)
+
+            time_display = gr.HTML(build_timer_html(0))
+
+            question_display = gr.Textbox(label="Question", lines=3, interactive=False)
+            timeout_btn = gr.Button("Timeout", elem_id="timeout_btn", visible=False)
+
+            with gr.Row():
+                opt1_btn = gr.Button("Option 1", visible=False)
+                opt2_btn = gr.Button("Option 2", visible=False)
+                opt3_btn = gr.Button("Option 3", visible=False)
+
+            gr.Markdown("---")
+
+            with gr.Row():
+                score_display = gr.Textbox(label="Score", value="0", interactive=False)
+                streak_display = gr.Textbox(label="Streak", value="0", interactive=False)
+                diff_display = gr.Textbox(label="Difficulty", value="1", interactive=False)
+
+            gr.Markdown("---")
+
+            gr.Markdown("""> 此 Gradio app 基于 RFC: https://aistudio.baidu.com/projectdetail/10237267
+                        
+## 如何游玩
+
+**1. 先设置后端** — 前往 **设置** 选项卡，选择一个后端并确保连接成功后再开始游戏。
+
+| 后端 | 使用方法 |
+|---------|-----------|
+| FastDeploy（本地） | 点击 **启动服务器**，等待状态显示为 `running`，然后点击 **健康检查** 确认 `OK` |
+| OpenAI API（远程） | 填写 Base URL、API Key 和模型名称，然后点击 **连接** |
+
+**2. 游戏规则**
+
+| | 限时模式 | 街机模式 |
+|---|---|---|
+| 目标 | 回答 10 道题 | 尽可能长时间存活 |
+| 答错/超时 | 标记为错误，进入下一题 | 立即结束游戏 |
+| 难度 | 答对后提升（1→5） | 答对后提升（1→5） |
+
+**3. 计分规则**
+
+- `得分 = 10 × 难度倍率 + 剩余时间 × 0.5 + 连击数 × 2`
+- 难度倍率：1.0× / 1.2× / 1.5× / 2.0× / 2.5×（对应难度 1–5）
+- 回答越快，时间奖励越高；连续答对可获得连击加分
+
+**4. 难度等级**
+
+| 等级 | 句子长度 | 时间限制 | 倍率 |
+|-------|----------------|------------|------------|
+| 1 | 约 10 词 | 30 秒 | 1.0× |
+| 2 | 约 20 词 | 25 秒 | 1.2× |
+| 3 | 约 30 词 | 20 秒 | 1.5× |
+| 4 | 约 40 词 | 18 秒 | 2.0× |
+| 5 | 约 50 词 | 15 秒 | 2.5× |
+""")
+
+            all_outputs = [
+                question_display,
+                opt1_btn, opt2_btn, opt3_btn,
+                score_display, streak_display, diff_display,
+                info_text, feedback_text,
+                time_display,
+            ]
+
+            # --- Server-side timeout via gr.Timer ---
+            # A 1-second timer checks if the timed-mode question has expired.
+            timeout_timer = gr.Timer(value=1, active=False)
+
+            def check_timeout():
+                """Called every 1s by timeout_timer. If time is up in timed mode,
+                trigger the timeout handler; otherwise return no-op updates."""
+                if not game.game_active or game.mode != "timed":
+                    return tuple(gr.update() for _ in all_outputs) + (gr.Timer(active=False),)
+                if game.current_question is None:
+                    return tuple(gr.update() for _ in all_outputs) + (gr.Timer(active=False),)
+                elapsed = time.time() - game.start_time
+                if elapsed >= game.get_time_limit():
+                    result = handle_answer(TIMEOUT_SENTINEL)
+                    # Stop timer if game ended after timeout
+                    still_active = game.game_active and game.mode == "timed"
+                    return result + (gr.Timer(active=still_active),)
+                return tuple(gr.update() for _ in all_outputs) + (gr.update(),)
+
+            timeout_timer.tick(
+                fn=check_timeout,
+                outputs=all_outputs + [timeout_timer],
+            )
+
+            def start_game_and_activate_timer(mode_choice):
+                result = start_game(mode_choice)
+                # Only activate the server-side timer in timed mode
+                timer_active = game.game_active and game.mode == "timed"
+                return result + (gr.Timer(active=timer_active),)
+
+            start_btn.click(
+                fn=start_game_and_activate_timer,
+                inputs=[mode_radio],
+                outputs=all_outputs + [timeout_timer],
+            )
+
+            def handle_answer_and_maybe_stop_timer(selected_option):
+                result = handle_answer(selected_option)
+                # Stop the timer if game is no longer active or not in timed mode
+                should_stop = not (game.game_active and game.mode == "timed")
+                return result + (gr.Timer(active=not should_stop),)
+
+            for btn in [opt1_btn, opt2_btn, opt3_btn]:
+                btn.click(
+                    fn=handle_answer_and_maybe_stop_timer,
+                    inputs=[btn],
+                    outputs=all_outputs + [timeout_timer],
+                )
+
+            timeout_btn.click(
+                fn=handle_answer,
+                inputs=[gr.State(TIMEOUT_SENTINEL)],
+                outputs=all_outputs,
+            )
+
+        # ==================== Settings Tab ====================
+        with gr.Tab("Settings"):
+            gr.Markdown("## Backend Settings")
+            gr.Markdown("Choose one backend. Activating one will automatically deactivate the other.")
+
+            backend_radio = gr.Radio(
+                choices=["FastDeploy (local)", "OpenAI API (remote)"],
+                value="FastDeploy (local)",
+                label="Backend Type",
+            )
+
+            # --- FastDeploy section ---
+            with gr.Column(visible=True) as fd_panel:
+                gr.Markdown("### FastDeploy Server")
+                fd_status = gr.Textbox(label="Server Status", value=get_fd_status(), interactive=False)
+                refresh_fd_btn = gr.Button("Refresh Status")
+
+                with gr.Accordion("Server Configuration", open=False):
+                    fd_model_box = gr.Textbox(label="Model Path", value=FD_MODEL)
+                    with gr.Row():
+                        fd_host_box = gr.Textbox(label="Host", value=FD_HOST)
+                        fd_port_box = gr.Number(label="Port", value=FD_PORT, precision=0)
+                    with gr.Row():
+                        fd_metrics_port_box = gr.Number(label="Metrics Port", value=FD_METRICS_PORT, precision=0)
+                        fd_wq_port_box = gr.Number(label="Worker Queue Port", value=FD_WORKER_QUEUE_PORT, precision=0)
+                    with gr.Row():
+                        fd_max_len_box = gr.Number(label="Max Model Len", value=FD_MAX_MODEL_LEN, precision=0)
+                        fd_max_seqs_box = gr.Number(label="Max Num Seqs", value=FD_MAX_NUM_SEQS, precision=0)
+                        fd_gpu_blocks_box = gr.Number(label="Num GPU Blocks Override", value=FD_NUM_GPU_BLOCKS_OVERRIDE, precision=0)
+
+                with gr.Row():
+                    start_fd_btn = gr.Button("Start Server", variant="primary")
+                    stop_fd_btn = gr.Button("Stop Server", variant="stop")
+                    health_fd_btn = gr.Button("Health Check")
+
+                fd_msg = gr.Textbox(label="Server Message", interactive=False)
+                gr.Markdown("**Server Log**")
+                fd_log = gr.Textbox(label="Log Output", lines=10, max_lines=25, interactive=False)
+                log_refresh_btn = gr.Button("Refresh Log")
+
+            # --- OpenAI API section ---
+            with gr.Column(visible=False) as oa_panel:
+                gr.Markdown("### OpenAI-Compatible API")
+                oa_status = gr.Textbox(label="Connection Status", value=get_oa_status(), interactive=False)
+                refresh_oa_btn = gr.Button("Refresh Status")
+
+                with gr.Row():
+                    oa_base_url = gr.Textbox(label="Base URL", value=OA_DEFAULT_BASE_URL)
+                    oa_api_key = gr.Textbox(label="API Key", type="password", value=OA_DEFAULT_API_KEY)
+                oa_model = gr.Textbox(label="Model Name", value=OA_DEFAULT_MODEL)
+
+                with gr.Row():
+                    connect_oa_btn = gr.Button("Connect", variant="primary")
+                    disconnect_oa_btn = gr.Button("Disconnect", variant="stop")
+                    health_oa_btn = gr.Button("Health Check")
+
+                oa_msg = gr.Textbox(label="Connection Message", interactive=False)
+
+            # --- Radio toggles panel visibility ---
+            backend_radio.change(
+                fn=lambda choice: (gr.update(visible=(choice == "FastDeploy (local)")),
+                                   gr.update(visible=(choice == "OpenAI API (remote)"))),
+                inputs=[backend_radio],
+                outputs=[fd_panel, oa_panel],
+            )
+
+            # --- FastDeploy event bindings ---
+            refresh_fd_btn.click(fn=lambda: get_fd_status(), outputs=[fd_status])
+
+            start_fd_btn.click(
+                fn=start_fd_server,
+                inputs=[fd_model_box, fd_host_box, fd_port_box,
+                        fd_metrics_port_box, fd_wq_port_box,
+                        fd_max_len_box, fd_max_seqs_box, fd_gpu_blocks_box],
+                outputs=[fd_msg],
+            ).then(fn=lambda: get_fd_status(), outputs=[fd_status]
+            ).then(fn=get_active_backend_label, outputs=[backend_label])
+
+            stop_fd_btn.click(
+                fn=stop_fd_server,
+                outputs=[fd_msg],
+            ).then(fn=lambda: get_fd_status(), outputs=[fd_status]
+            ).then(fn=get_active_backend_label, outputs=[backend_label])
+
+            health_fd_btn.click(fn=check_fd_health, outputs=[fd_msg])
+
+            log_refresh_btn.click(fn=get_fd_log, outputs=[fd_log])
+
+            # --- OpenAI event bindings ---
+            refresh_oa_btn.click(fn=lambda: get_oa_status(), outputs=[oa_status])
+
+            connect_oa_btn.click(
+                fn=connect_openai,
+                inputs=[oa_base_url, oa_api_key, oa_model],
+                outputs=[oa_msg],
+            ).then(fn=lambda: get_oa_status(), outputs=[oa_status]
+            ).then(fn=get_active_backend_label, outputs=[backend_label])
+
+            disconnect_oa_btn.click(
+                fn=disconnect_openai,
+                outputs=[oa_msg],
+            ).then(fn=lambda: get_oa_status(), outputs=[oa_status]
+            ).then(fn=get_active_backend_label, outputs=[backend_label])
+
+            health_oa_btn.click(fn=check_oa_health, outputs=[oa_msg])
+
+demo.launch()
diff --git a/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.04~2026.05.18.md b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.04~2026.05.18.md
new file mode 100644
index 00000000..81d0deb3
--- /dev/null
+++ b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.04~2026.05.18.md
@@ -0,0 +1,102 @@
+### 认领者 GitHub ID
+megemini
+
+### 赛题信息
+
+- **进阶任务序号**：#17
+- **赛题名称**：基于燧原卡为 FastDeploy 新增应用
+- **关联厂商**：燧原
+
+### 本周工作
+
+1. **RFC 文档**
+
+   - 已经完成 RFC 文档
+   - AI Studio 地址：https://aistudio.baidu.com/projectdetail/10237267
+
+2. **代码实现**
+
+   - 已经完成 AI Studio 项目的 notebook
+
+    已经在 燧原 的服务器上跑通了 notebook，可以正常调用 ERNIE-4.5-0.3B-Paddle 模型。
+
+    notebook 见 app.ipynb
+
+    在 燧原 的服务器上初始化：
+
+    ![gcu](images/gcu.png)
+
+    通过执行 cell 完成完形填空：
+
+    ![cloze](images/cloze.png)
+
+3. **README**
+
+    - 可以参考 AI Studio 项目的 notebook
+
+4. **演示视频/截图**
+
+    - 待完成
+
+5. **问题与解决**
+
+   - 问题：ERNIE-4.5-0.3B-Paddle 生成效果问题
+
+    之前在 RFC 中希望通过 `1` 个 prompt 就让模型生成问题和答案，使用的 prompt 如下：
+
+    ```python
+        prompt = f"""你是一位英语教育专家。请生成一道英文完形填空题。
+
+    难度等级：{difficulty}（1最简单，5最难）
+
+    严格遵循以下格式输出：
+    <q>包含一个空白的英文句子，空白处用 [选项1, 选项2, 选项3] 表示</q>
+    <a>正确答案</a>
+
+    要求：
+    1. 三个选项包含一个正确答案和两个有迷惑性的干扰项
+    2. 答案应基于上下文语义判断
+    3. 不要输出任何额外内容
+
+    示例：
+    <q>When I was 7 [years, days, months] old, I went to the US with my mom.</q>
+    <a>years</a>
+
+    <q>I need to [buy, sell, rent] some groceries before dinner.</q>
+    <a>buy</a>
+
+    <q>The teacher asked the students to [discuss, dismiss, display] the topic in groups.</q>
+    <a>discuss</a>
+
+    <q>Despite the heavy rain, she [insisted, resisted, assisted] on going out for a walk.</q>
+    <a>insisted</a>"""
+
+    ```
+
+    但是，模型生成效果并不理想，可以参考 AI Studio 的模型体验场的生成效果：
+
+    ![bad_case](images/bad_case.png)
+
+    在多次尝试摸索 ERNIE-4.5-0.3B-Paddle 模型的能力边界之后，确定为现在的两阶段方式：
+
+    1. 让模型根据难度生成一条英文句子
+    2. 从句子中抽取一个单词，然后让模型给我几个同义词
+
+    如此可以组合成一道完形填空题。
+
+### 下周计划
+
+1. 在 AI Studio 上创建 gradio 应用
+
+### 当前阻塞（无则填"无"）
+
+- 无
+
+### 交付物进展
+
+| 交付物 | 状态 | 备注 |
+|--------|:----:|------|
+| RFC 文档 | ✅ 已完成 | - |
+| 代码实现 | 🔄  | |
+| README | 🔄  | - |
+| 演示视频/截图 |🔄  | - |
\ No newline at end of file
diff --git a/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.18~2026.05.28.md b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.18~2026.05.28.md
new file mode 100644
index 00000000..d328baee
--- /dev/null
+++ b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.18~2026.05.28.md
@@ -0,0 +1,55 @@
+### 认领者 GitHub ID
+megemini
+
+### 赛题信息
+
+- **进阶任务序号**：#17
+- **赛题名称**：基于燧原卡为 FastDeploy 新增应用
+- **关联厂商**：燧原
+
+### 本周工作
+
+1. **RFC 文档**
+
+   - 已经完成 RFC 文档
+   - AI Studio 地址：https://aistudio.baidu.com/projectdetail/10237267
+
+2. **代码实现**
+
+   - 已经完成 AI Studio 项目的 notebook 并在 AI Studio 公开：https://aistudio.baidu.com/projectdetail/10408725
+
+   - 已经完成 AI Studio 的 Gradio 应用并已公开： https://aistudio.baidu.com/application/detail/225481
+
+   这里设置了两种连接模型的方式：
+
+   - 使用 FastDeploy ，这种方式适用于使用本地 GPU 的部署，如使用燧原卡
+   - 使用 OpenAI api ，适用于没有 GPU 的方式部署，demo 视频是在 AI Studio 上创建的应用进行的演示，因此使用的是 OpenAI api
+
+3. **README**
+
+    - 可以参考 AI Studio 项目的 notebook
+
+4. **演示视频/截图**
+
+    <video width="640" controls><source src="demo/timed.mp4" type="video/mp4"></video>
+
+5. **问题与解决**
+
+- 无
+
+### 下周计划
+
+项目已经完成，暂无其他计划
+
+### 当前阻塞（无则填"无"）
+
+- 无
+
+### 交付物进展
+
+| 交付物 | 状态 | 备注 |
+|--------|:----:|------|
+| RFC 文档 | ✅ 已完成 | - |
+| 代码实现 | ✅ 已完成 | |
+| README | ✅ 已完成  | - |
+| 演示视频/截图 | ✅ 已完成  | - |
\ No newline at end of file
diff --git a/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.28~2026.06.11.md b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.28~2026.06.11.md
new file mode 100644
index 00000000..c562bc01
--- /dev/null
+++ b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/[WeeklyReport]2026.05.28~2026.06.11.md
@@ -0,0 +1,57 @@
+### 认领者 GitHub ID
+megemini
+
+### 赛题信息
+
+- **进阶任务序号**：#17
+- **赛题名称**：基于燧原卡为 FastDeploy 新增应用
+- **关联厂商**：燧原
+
+### 本周工作
+
+1. **RFC 文档**
+
+   - 已经完成 RFC 文档
+   - AI Studio 地址：https://aistudio.baidu.com/projectdetail/10237267
+
+2. **代码实现**
+
+   - 已经完成 AI Studio 项目的 notebook 并在 AI Studio 公开：https://aistudio.baidu.com/projectdetail/10408725
+
+   - 已经完成 AI Studio 的 Gradio 应用并已公开： https://aistudio.baidu.com/application/detail/225481
+      更新了一下对于同义词的判定逻辑，以防止模型将一些错误生成的中文词语也作为选项。
+      附上了 Gradio.app.py 的源码文件
+
+   这里设置了两种连接模型的方式：
+
+   - 使用 FastDeploy ，这种方式适用于使用本地 GPU 的部署，如使用燧原卡
+   - 使用 OpenAI api ，适用于没有 GPU 的方式部署，demo 视频是在 AI Studio 上创建的应用进行的演示，因此使用的是 OpenAI api
+
+3. **README**
+
+    - 可以参考 AI Studio 项目的 notebook
+
+4. **演示视频/截图**
+
+    <video width="640" controls><source src="demo/timed.mp4" type="video/mp4"></video>
+
+5. **问题与解决**
+
+- 无
+
+### 下周计划
+
+项目已经完成，暂无其他计划
+
+### 当前阻塞（无则填"无"）
+
+- 无
+
+### 交付物进展
+
+| 交付物 | 状态 | 备注 |
+|--------|:----:|------|
+| RFC 文档 | ✅ 已完成 | - |
+| 代码实现 | ✅ 已完成 | |
+| README | ✅ 已完成  | - |
+| 演示视频/截图 | ✅ 已完成  | - |
\ No newline at end of file
diff --git a/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/app.ipynb b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/app.ipynb
new file mode 100644
index 00000000..6ff2b3b5
--- /dev/null
+++ b/WeeklyReports/Hackathon_10th/ERNIEPartner/17_megemini/app.ipynb
@@ -0,0 +1,1803 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 【燧原】趣味英文完形填空闯关应用\n",
+    "\n",
+    "基于 ERNIE-4.5-0.3B 轻量模型的趣味英文完形填空闯关应用，将 AI 动态出题、限时机制与积分系统相结合。\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 0. 配置环境"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Looking in indexes: https://www.paddlepaddle.org.cn/packages/stable/cpu/\n",
+      "Collecting paddlepaddle==3.1.0a0\n",
+      "  Downloading https://paddle-whl.bj.bcebos.com/stable/cpu/paddlepaddle/paddlepaddle-3.1.0a0-cp310-cp310-linux_x86_64.whl (195.1 MB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m195.1/195.1 MB\u001b[0m \u001b[31m11.2 MB/s\u001b[0m  \u001b[33m0:00:17\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: httpx in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==3.1.0a0) (0.28.1)\n",
+      "Requirement already satisfied: numpy>=1.21 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==3.1.0a0) (1.26.4)\n",
+      "Requirement already satisfied: protobuf>=3.20.2 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==3.1.0a0) (6.32.1)\n",
+      "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==3.1.0a0) (11.3.0)\n",
+      "Requirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==3.1.0a0) (5.1.1)\n",
+      "Collecting opt_einsum==3.3.0 (from paddlepaddle==3.1.0a0)\n",
+      "  Downloading https://paddle-whl.bj.bcebos.com/stable/cpu/opt-einsum/opt_einsum-3.3.0-py3-none-any.whl (65 kB)\n",
+      "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==3.1.0a0) (3.3)\n",
+      "Requirement already satisfied: typing_extensions in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==3.1.0a0) (4.14.1)\n",
+      "Requirement already satisfied: anyio in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle==3.1.0a0) (4.11.0)\n",
+      "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle==3.1.0a0) (2025.7.14)\n",
+      "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle==3.1.0a0) (1.0.9)\n",
+      "Requirement already satisfied: idna in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle==3.1.0a0) (2.8)\n",
+      "Requirement already satisfied: h11>=0.16 in /usr/local/lib/python3.10/dist-packages (from httpcore==1.*->httpx->paddlepaddle==3.1.0a0) (0.16.0)\n",
+      "Requirement already satisfied: exceptiongroup>=1.0.2 in /usr/local/lib/python3.10/dist-packages (from anyio->httpx->paddlepaddle==3.1.0a0) (1.3.0)\n",
+      "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio->httpx->paddlepaddle==3.1.0a0) (1.3.1)\n",
+      "\u001b[33mWARNING: Error parsing dependencies of mlnx-tools: Invalid version: '-5.2.0-'\u001b[0m\u001b[33m\n",
+      "\u001b[0mInstalling collected packages: opt_einsum, paddlepaddle\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [paddlepaddle][0m [paddlepaddle]\n",
+      "\u001b[1A\u001b[2KSuccessfully installed opt_einsum-3.3.0 paddlepaddle-3.1.0a0\n",
+      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
+      "\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m25.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m26.1.1\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython -m pip install --upgrade pip\u001b[0m\n",
+      "Looking in indexes: https://www.paddlepaddle.org.cn/packages/nightly/gcu/\n",
+      "Collecting paddle-custom-gcu==3.0.0.dev20250716\n",
+      "  Downloading https://paddle-whl.bj.bcebos.com/nightly/gcu/paddle-custom-gcu/paddle_custom_gcu-3.0.0.dev20250716-cp310-cp310-linux_x86_64.whl (7.0 MB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.0/7.0 MB\u001b[0m \u001b[31m49.3 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m eta \u001b[36m0:00:01\u001b[0m\n",
+      "\u001b[?25h\u001b[33mWARNING: Error parsing dependencies of mlnx-tools: Invalid version: '-5.2.0-'\u001b[0m\u001b[33m\n",
+      "\u001b[0mInstalling collected packages: paddle-custom-gcu\n",
+      "Successfully installed paddle-custom-gcu-3.0.0.dev20250716\n",
+      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
+      "\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m25.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m26.1.1\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython -m pip install --upgrade pip\u001b[0m\n",
+      "version: 3.0.0.dev20250716\n",
+      "commit: 2bd3a8283dc9a91f537aa1377b7ed927aa08326d\n",
+      "TopsPlatform: 1.5.0.601\n",
+      "/usr/local/lib/python3.10/dist-packages/paddle/utils/cpp_extension/extension_utils.py:715: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md\n",
+      "  warnings.warn(warning_message)\n",
+      "I0508 05:49:31.103722  1483 init.cc:238] ENV [CUSTOM_DEVICE_ROOT]=/usr/local/lib/python3.10/dist-packages/paddle_custom_device\n",
+      "I0508 05:49:31.103742  1483 init.cc:146] Try loading custom device libs from: [/usr/local/lib/python3.10/dist-packages/paddle_custom_device]\n",
+      "WARNING: Logging before InitGoogleLogging() is written to STDERR\n",
+      "I0508 05:49:31.268548  1483 runtime.cc:804] InitPlugin for backend GCU successfully.\n",
+      "I0508 05:49:31.279711  1483 runtime.cc:95] Backend GCU Init, get GCU count:1, current device id:0\n",
+      "I0508 05:49:31.279740  1483 custom_device_load.cc:51] Succeed in loading custom runtime in lib: /usr/local/lib/python3.10/dist-packages/paddle_custom_device/libpaddle-custom-gcu.so\n",
+      "I0508 05:49:31.284403  1483 custom_device_load.cc:78] Succeed in loading custom engine in lib: /usr/local/lib/python3.10/dist-packages/paddle_custom_device/libpaddle-custom-gcu.so\n",
+      "I0508 05:49:31.286999  1483 custom_kernel.cc:68] Succeed in loading 275 custom kernel(s) from loaded lib(s), will be used like native ones.\n",
+      "I0508 05:49:31.287094  1483 init.cc:158] Finished in LoadCustomDevice with libs_path: [/usr/local/lib/python3.10/dist-packages/paddle_custom_device]\n",
+      "I0508 05:49:31.287114  1483 init.cc:244] CustomDevice: gcu, visible devices count: 1\n",
+      "Running verify PaddlePaddle program ... \n",
+      "I0508 05:49:31.593480  1483 pir_interpreter.cc:1524] New Executor is Running ...\n",
+      "I0508 05:49:31.594089  1483 runtime.cc:133] Backend GCU init device:0\n",
+      "I0508 05:49:31.612985  1483 pir_interpreter.cc:1547] pir interpreter is running by multi-thread mode ...\n",
+      "I0508 05:49:31.613847  1606 utils.cc:136] Kernels launch in JIT ONLY mode:false\n",
+      "I0508 05:49:31.625713  1606 op_utils.cc:191] AOT kernel stream mode:async\n",
+      "I0508 05:49:31.655267  1618 gcu_layout_funcs.cc:54] Enable transpose optimize:false\n",
+      "PaddlePaddle works well on 1 gcu.\n",
+      "PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.\n",
+      "I0508 05:49:31.724458  1483 runtime.cc:149] Backend GCU finalize device:0\n",
+      "I0508 05:49:31.724476  1483 runtime.cc:101] Backend GCU Finalize\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 在【燧原】环境中需要安装特定版本的 paddlepaddle\n",
+    "# 参考：https://github.com/PaddlePaddle/community/blob/master/pfcc/paddle-hardware/%E7%87%A7%E5%8E%9F%E7%A7%91%E6%8A%80-%E5%9F%BA%E4%BA%8EFastDeploy%E8%B7%91%E9%80%9AERNIE-4.5-0.3B-Paddle%20%E6%89%93%E5%8D%A1%E4%BB%BB%E5%8A%A1.md\n",
+    "# # PaddlePaddle『飞桨』深度学习框架，提供运算基础能力\n",
+    "!python -m pip install paddlepaddle==3.1.0a0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/\n",
+    "\n",
+    "# # PaddleCustomDevice是PaddlePaddle『飞桨』深度学习框架的自定义硬件接入实现，提供GCU的算子实现\n",
+    "!python -m pip install paddle-custom-gcu==3.0.0.dev20250716 -i https://www.paddlepaddle.org.cn/packages/nightly/gcu/\n",
+    "\n",
+    "!python -c \"import paddle_custom_device; paddle_custom_device.gcu.version()\"\n",
+    "\n",
+    "!python -c \"import paddle; paddle.utils.run_check()\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Looking in indexes: https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple\n",
+      "Requirement already satisfied: pip in /usr/local/lib/python3.10/dist-packages (25.2)\n",
+      "Collecting pip\n",
+      "  Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/3a/eb/fea4d1d51c49832120f7f285d07306db3960f423a2612c6057caf3e8196f/pip-26.1.1-py3-none-any.whl (1.8 MB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m10.3 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m6m-:--:--\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (80.9.0)\n",
+      "Collecting setuptools\n",
+      "  Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/9d/76/f789f7a86709c6b087c5a2f52f911838cad707cc613162401badc665acfe/setuptools-82.0.1-py3-none-any.whl (1.0 MB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.0/1.0 MB\u001b[0m \u001b[31m30.6 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (0.45.1)\n",
+      "Collecting wheel\n",
+      "  Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/87/1b/9e33c09813d65e248f7f773119148a612516a4bea93e9c6f545f78455b7c/wheel-0.47.0-py3-none-any.whl (32 kB)\n",
+      "Requirement already satisfied: packaging>=24.0 in /usr/local/lib/python3.10/dist-packages (from wheel) (25.0)\n",
+      "\u001b[33mWARNING: Error parsing dependencies of mlnx-tools: Invalid version: '-5.2.0-'\u001b[0m\u001b[33m\n",
+      "\u001b[0mInstalling collected packages: wheel, setuptools, pip\n",
+      "\u001b[2K  Attempting uninstall: wheel\n",
+      "\u001b[2K    Found existing installation: wheel 0.45.1\n",
+      "\u001b[2K    Uninstalling wheel-0.45.1:\n",
+      "\u001b[2K      Successfully uninstalled wheel-0.45.1\n",
+      "\u001b[2K  Attempting uninstall: setuptools\n",
+      "\u001b[2K    Found existing installation: setuptools 80.9.0\n",
+      "\u001b[2K    Uninstalling setuptools-80.9.0:\n",
+      "\u001b[2K      Successfully uninstalled setuptools-80.9.0━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1/3\u001b[0m [setuptools]\n",
+      "\u001b[2K  Attempting uninstall: pip90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1/3\u001b[0m [setuptools]\n",
+      "\u001b[2K    Found existing installation: pip 25.21m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m2/3\u001b[0m [pip]ls]\n",
+      "\u001b[2K    Uninstalling pip-25.2:━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m2/3\u001b[0m [pip]\n",
+      "\u001b[2K      Successfully uninstalled pip-25.2╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m2/3\u001b[0m [pip]\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3/3\u001b[0m [pip]\u001b[32m2/3\u001b[0m [pip]\n",
+      "\u001b[1A\u001b[2K\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "tensorboard 2.3.0 requires google-auth<2,>=1.6.3, but you have google-auth 2.41.1 which is incompatible.\n",
+      "thinc 8.3.6 requires numpy<3.0.0,>=2.0.0, but you have numpy 1.26.4 which is incompatible.\n",
+      "xinference 1.7.0.post1+gcu20250807.0.g70546266.dirty requires click<8.2.0, but you have click 8.3.0 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed pip-26.1.1 setuptools-82.0.1 wheel-0.47.0\n",
+      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
+      "\u001b[0mLooking in indexes: https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple, https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simplels\n",
+      "Collecting paddleformers @ https://paddle-qa.bj.bcebos.com/ernie/paddleformers-0.4.0.post20251222-py3-none-any.whl (from -r requirements-gcu.txt (line 13))\n",
+      "  Using cached paddleformers-0.4.0.post20251222-py3-none-any.whl (1.7 MB)\n",
+      "Collecting flash_mask @ https://paddle-qa.bj.bcebos.com/ernie/flash_mask-4.0.post20260128-py3-none-any.whl (from -r requirements-gcu.txt (line 50))\n",
+      "  Using cached flash_mask-4.0.post20260128-py3-none-any.whl (216 kB)\n",
+      "Collecting arctic_inference @ https://paddle-qa.bj.bcebos.com/ernie/arctic_inference-0.1.3-cp310-cp310-linux_x86_64.whl (from -r requirements-gcu.txt (line 51))\n",
+      "  Using cached arctic_inference-0.1.3-cp310-cp310-linux_x86_64.whl (254 kB)\n",
+      "Collecting setuptools==62.3.0 (from -r requirements-gcu.txt (line 1))\n",
+      "  Using cached setuptools-62.3.0-py3-none-any.whl (1.2 MB)\n",
+      "Collecting pre-commit (from -r requirements-gcu.txt (line 2))\n",
+      "  Using cached pre_commit-4.6.0-py2.py3-none-any.whl (226 kB)\n",
+      "Collecting yapf (from -r requirements-gcu.txt (line 3))\n",
+      "  Using cached yapf-0.43.0-py3-none-any.whl (256 kB)\n",
+      "Collecting flake8 (from -r requirements-gcu.txt (line 4))\n",
+      "  Using cached flake8-7.3.0-py2.py3-none-any.whl (57 kB)\n",
+      "Requirement already satisfied: ruamel.yaml in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 5)) (0.18.15)\n",
+      "Collecting zmq (from -r requirements-gcu.txt (line 6))\n",
+      "  Using cached zmq-0.0.0.zip (2.2 kB)\n",
+      "  Installing build dependencies ... \u001b[?25ldone\n",
+      "\u001b[?25h  Getting requirements to build wheel ... \u001b[?25ldone\n",
+      "\u001b[?25h  Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n",
+      "\u001b[?25hCollecting aiozmq (from -r requirements-gcu.txt (line 7))\n",
+      "  Using cached aiozmq-1.0.0-py3-none-any.whl (35 kB)\n",
+      "Requirement already satisfied: openai>=1.93.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 8)) (2.2.0)\n",
+      "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 9)) (4.67.1)\n",
+      "Collecting pynvml (from -r requirements-gcu.txt (line 10))\n",
+      "  Using cached pynvml-13.0.1-py3-none-any.whl (28 kB)\n",
+      "Collecting uvicorn>=0.38.0 (from -r requirements-gcu.txt (line 11))\n",
+      "  Using cached uvicorn-0.46.0-py3-none-any.whl (70 kB)\n",
+      "Requirement already satisfied: fastapi in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 12)) (0.118.2)\n",
+      "Requirement already satisfied: redis in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 14)) (6.4.0)\n",
+      "Collecting etcd3 (from -r requirements-gcu.txt (line 15))\n",
+      "  Using cached etcd3-0.12.0.tar.gz (63 kB)\n",
+      "  Installing build dependencies ... \u001b[?25ldone\n",
+      "\u001b[?25h  Getting requirements to build wheel ... \u001b[?25ldone\n",
+      "\u001b[?25h  Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n",
+      "\u001b[?25hRequirement already satisfied: httpx in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 16)) (0.28.1)\n",
+      "Collecting tool_helpers (from -r requirements-gcu.txt (line 17))\n",
+      "  Using cached tool_helpers-0.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (111 kB)\n",
+      "Requirement already satisfied: cupy-cuda12x in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 18)) (13.6.0)\n",
+      "Requirement already satisfied: tabulate in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 20)) (0.9.0)\n",
+      "Requirement already satisfied: gradio in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 21)) (5.22.0)\n",
+      "Collecting xlwt (from -r requirements-gcu.txt (line 22))\n",
+      "  Using cached xlwt-1.3.0-py2.py3-none-any.whl (99 kB)\n",
+      "Collecting visualdl (from -r requirements-gcu.txt (line 23))\n",
+      "  Using cached visualdl-2.5.3-py3-none-any.whl (6.3 MB)\n",
+      "Collecting setuptools-scm>=8 (from -r requirements-gcu.txt (line 24))\n",
+      "  Using cached setuptools_scm-10.0.5-py3-none-any.whl (21 kB)\n",
+      "Requirement already satisfied: prometheus-client in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 25)) (0.23.1)\n",
+      "Collecting decord (from -r requirements-gcu.txt (line 26))\n",
+      "  Using cached decord-0.6.0-py3-none-manylinux2010_x86_64.whl (13.6 MB)\n",
+      "Collecting moviepy (from -r requirements-gcu.txt (line 27))\n",
+      "  Using cached moviepy-2.2.1-py3-none-any.whl (129 kB)\n",
+      "Collecting triton==3.3 (from -r requirements-gcu.txt (line 28))\n",
+      "  Using cached triton-3.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (156.4 MB)\n",
+      "Requirement already satisfied: crcmod in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 29)) (1.7)\n",
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+      "Collecting gunicorn==25.0.3 (from -r requirements-gcu.txt (line 31))\n",
+      "  Using cached gunicorn-25.0.3-py3-none-any.whl (171 kB)\n",
+      "Requirement already satisfied: modelscope in /usr/local/lib/python3.10/dist-packages (from -r requirements-gcu.txt (line 32)) (1.30.0)\n",
+      "Collecting safetensors>=0.7.0 (from -r requirements-gcu.txt (line 33))\n",
+      "  Using cached safetensors-0.7.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (507 kB)\n",
+      "Collecting opentelemetry-api>=1.24.0 (from -r requirements-gcu.txt (line 34))\n",
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+      "\u001b[?25hCollecting nvidia-cutlass==4.2.0.0 (from flash_mask @ https://paddle-qa.bj.bcebos.com/ernie/flash_mask-4.0.post20260128-py3-none-any.whl->-r requirements-gcu.txt (line 50))\n",
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+      "\u001b[?25hCollecting rarfile (from visualdl->-r requirements-gcu.txt (line 23))\n",
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+      "Collecting cuda-bindings~=13.2.0 (from cuda-python>=11.8.0->nvidia-cutlass==4.2.0.0->flash_mask @ https://paddle-qa.bj.bcebos.com/ernie/flash_mask-4.0.post20260128-py3-none-any.whl->-r requirements-gcu.txt (line 50))\n",
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+      "\u001b[?25hINFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
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+      "\u001b[?25hCollecting distlib<1,>=0.3.7 (from virtualenv>=20.10.0->pre-commit->-r requirements-gcu.txt (line 2))\n",
+      "  Downloading distlib-0.4.0-py2.py3-none-any.whl (469 kB)\n",
+      "Collecting filelock (from huggingface_hub>=0.19.2->paddleformers @ https://paddle-qa.bj.bcebos.com/ernie/paddleformers-0.4.0.post20251222-py3-none-any.whl->-r requirements-gcu.txt (line 13))\n",
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+      "Requirement already satisfied: pycryptodome>=3.8.0 in /usr/local/lib/python3.10/dist-packages (from bce-python-sdk->visualdl->-r requirements-gcu.txt (line 23)) (3.23.0)\n",
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+      "Collecting pycryptodomex>=3.8 (from blobfile->paddleformers @ https://paddle-qa.bj.bcebos.com/ernie/paddleformers-0.4.0.post20251222-py3-none-any.whl->-r requirements-gcu.txt (line 13))\n",
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+      "Building wheels for collected packages: zmq, etcd3, seqeval, GPUtil\n",
+      "  Building wheel for zmq (pyproject.toml) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for zmq: filename=zmq-0.0.0-py3-none-any.whl size=1087 sha256=b647f77aa4df6614f98e2913530e785140befd09e3a797a751187dd7e9fb3788\n",
+      "  Stored in directory: /root/.cache/pip/wheels/a0/9b/71/f213dbdd687f02a09ce56ff361d70bf53a52c40ea1dec83a7e\n",
+      "  Building wheel for etcd3 (pyproject.toml) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for etcd3: filename=etcd3-0.12.0-py2.py3-none-any.whl size=42976 sha256=6582e16705c965bbe426078f17b35cf0700d5b6aeb8d69eb6528e767bddc89cf\n",
+      "  Stored in directory: /root/.cache/pip/wheels/af/6a/31/b3873f849acccce0fa4237ad9bbb7bf3162c97a6b2c0c2522e\n",
+      "  Building wheel for seqeval (pyproject.toml) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for seqeval: filename=seqeval-1.2.2-py3-none-any.whl size=16252 sha256=14b84e66a0c67943f61611a94823e1e86f5cda695bd9f4655c51e8f84997f32d\n",
+      "  Stored in directory: /root/.cache/pip/wheels/ad/55/48/11993919789e3db76fca2c12510d879a640dd8dc6d43b94d4e\n",
+      "  Building wheel for GPUtil (pyproject.toml) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for GPUtil: filename=gputil-1.4.0-py3-none-any.whl size=7437 sha256=87d6eb99f57bb20e50c27a99175ba76765071ad1fb28148307cb7384a456fc77\n",
+      "  Stored in directory: /root/.cache/pip/wheels/05/b0/4c/05b15fd60dd684e9919b665fa244c5c740f92e0893dcba5685\n",
+      "Successfully built zmq etcd3 seqeval GPUtil\n",
+      "\u001b[33mWARNING: Error parsing dependencies of mlnx-tools: Invalid version: '-5.2.0-'\u001b[0m\u001b[33m\n",
+      "\u001b[0mInstalling collected packages: xlwt, use_triton_in_paddle, GPUtil, distlib, arctic_inference, zmq, zipp, yapf, werkzeug, vcs-versioning, uvicorn, treelib, tenacity, setuptools, safetensors, rarfile, pyparsing, pynvml, pyflakes, pycryptodomex, pybind11-global, pybind11, proglog, prettytable, polygraphy, opentelemetry-util-http, opentelemetry-proto, onnx, nvidia-cudnn-frontend, nodeenv, mccabe, kiwisolver, itsdangerous, identify, gunicorn, fonttools, filelock, dill, decord, cycler, cuda-pathfinder, crc32c, contourpy, colorlog, colorama, cfgv, asgiref, apache-tvm-ffi, aiozmq, triton, tool_helpers, setuptools-scm, python-discovery, pydot, paddlefsl, opentelemetry-exporter-otlp-proto-common, onnxoptimizer, multiprocess, moviepy, matplotlib, importlib-metadata, flask, flake8, fast_dataindex, etcd3, cuda-bindings, blobfile, bce-python-sdk, virtualenv, seqeval, paddle2onnx, opentelemetry-api, Flask-Babel, cuda-python, aistudio_sdk, visualdl, transformers, pre-commit, opentelemetry-semantic-conventions, nvidia-cutlass-dsl, nvidia-cutlass, mooncake-transfer-engine, p2pstore, opentelemetry-sdk, opentelemetry-instrumentation, flashinfer-python-paddle, flash_mask, paddleformers, opentelemetry-instrumentation-redis, opentelemetry-instrumentation-logging, opentelemetry-instrumentation-dbapi, opentelemetry-instrumentation-asgi, opentelemetry-exporter-otlp-proto-http, opentelemetry-exporter-otlp-proto-grpc, opentelemetry-distro, opentelemetry-instrumentation-mysql, opentelemetry-instrumentation-fastapi, opentelemetry-exporter-otlp\n",
+      "\u001b[2K  Attempting uninstall: zipp━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 3/98\u001b[0m [distlib]\n",
+      "\u001b[2K    Found existing installation: zipp 1.0.0━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 3/98\u001b[0m [distlib]\n",
+      "\u001b[2K    Uninstalling zipp-1.0.0:━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 3/98\u001b[0m [distlib]\n",
+      "\u001b[2K      Successfully uninstalled zipp-1.0.0━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 3/98\u001b[0m [distlib]\n",
+      "\u001b[2K  Attempting uninstall: werkzeug━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 7/98\u001b[0m [yapf]\n",
+      "\u001b[2K    Found existing installation: Werkzeug 3.0.3━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 7/98\u001b[0m [yapf]\n",
+      "\u001b[2K    Uninstalling Werkzeug-3.0.3:━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 7/98\u001b[0m [yapf]\n",
+      "\u001b[2K      Successfully uninstalled Werkzeug-3.0.3━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 7/98\u001b[0m [yapf]\n",
+      "\u001b[2K  Attempting uninstall: uvicorn━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 9/98\u001b[0m [vcs-versioning]\n",
+      "\u001b[2K    Found existing installation: uvicorn 0.37.0━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 9/98\u001b[0m [vcs-versioning]\n",
+      "\u001b[2K    Uninstalling uvicorn-0.37.0:━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 9/98\u001b[0m [vcs-versioning]\n",
+      "\u001b[2K      Successfully uninstalled uvicorn-0.37.0━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 9/98\u001b[0m [vcs-versioning]\n",
+      "\u001b[2K  Attempting uninstall: setuptools━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 9/98\u001b[0m [vcs-versioning]\n",
+      "\u001b[2K    Found existing installation: setuptools 82.0.1━━━━━━━━━━━━\u001b[0m \u001b[32m 9/98\u001b[0m [vcs-versioning]\n",
+      "\u001b[2K    Uninstalling setuptools-82.0.1:━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K      Successfully uninstalled setuptools-82.0.1━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K  Attempting uninstall: safetensors━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K    Found existing installation: safetensors 0.6.2━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K    Uninstalling safetensors-0.6.2:━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K      Successfully uninstalled safetensors-0.6.2━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K  Attempting uninstall: pyparsing━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K    Found existing installation: pyparsing 2.4.7━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K    Uninstalling pyparsing-2.4.7:━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K      Successfully uninstalled pyparsing-2.4.7━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13/98\u001b[0m [setuptools]\n",
+      "\u001b[2K  Attempting uninstall: onnx[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24/98\u001b[0m [polygraphy]ex]\n",
+      "\u001b[2K    Found existing installation: onnx 1.10.1━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24/98\u001b[0m [polygraphy]\n",
+      "\u001b[2K    Uninstalling onnx-1.10.1:\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27/98\u001b[0m [onnx]y]\n",
+      "\u001b[2K      Successfully uninstalled onnx-1.10.1━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27/98\u001b[0m [onnx]\n",
+      "\u001b[2K  Attempting uninstall: filelock\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m35/98\u001b[0m [fonttools]]n-frontend]\n",
+      "\u001b[2K    Found existing installation: filelock 3.20.0━━━━━━━━━━━━━━\u001b[0m \u001b[32m35/98\u001b[0m [fonttools]\n",
+      "\u001b[2K    Uninstalling filelock-3.20.0:[90m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m35/98\u001b[0m [fonttools]\n",
+      "\u001b[2K      Successfully uninstalled filelock-3.20.0━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m35/98\u001b[0m [fonttools]\n",
+      "\u001b[2K  Attempting uninstall: dill91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m36/98\u001b[0m [filelock]\n",
+      "\u001b[2K    Found existing installation: dill 0.4.0━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m36/98\u001b[0m [filelock]\n",
+      "\u001b[2K    Uninstalling dill-0.4.0:\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m36/98\u001b[0m [filelock]\n",
+      "\u001b[2K      Successfully uninstalled dill-0.4.0━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m36/98\u001b[0m [filelock]\n",
+      "\u001b[2K  Attempting uninstall: tritonm\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m47/98\u001b[0m [apache-tvm-ffi]\n",
+      "\u001b[2K    Found existing installation: triton 3.2.0━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m47/98\u001b[0m [apache-tvm-ffi]\n",
+      "\u001b[2K    Uninstalling triton-3.2.0:0m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m47/98\u001b[0m [apache-tvm-ffi]\n",
+      "\u001b[2K      Successfully uninstalled triton-3.2.0[90m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49/98\u001b[0m [triton]ffi]\n",
+      "\u001b[2K  Attempting uninstall: multiprocess90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54/98\u001b[0m [paddlefsl]\n",
+      "\u001b[2K    Found existing installation: multiprocess 0.70.16━━━━━━━━━\u001b[0m \u001b[32m54/98\u001b[0m [paddlefsl]\n",
+      "\u001b[2K    Uninstalling multiprocess-0.70.16:0m\u001b[90m━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m54/98\u001b[0m [paddlefsl]\n",
+      "\u001b[2K      Successfully uninstalled multiprocess-0.70.16━━━━━━━━━━━\u001b[0m \u001b[32m54/98\u001b[0m [paddlefsl]\n",
+      "\u001b[2K  Attempting uninstall: importlib-metadata\u001b[0m\u001b[90m━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59/98\u001b[0m [matplotlib]\n",
+      "\u001b[2K    Found existing installation: importlib-metadata 4.6.4━━━━━\u001b[0m \u001b[32m59/98\u001b[0m [matplotlib]\n",
+      "\u001b[2K    Uninstalling importlib-metadata-4.6.4:\u001b[90m━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59/98\u001b[0m [matplotlib]\n",
+      "\u001b[2K      Successfully uninstalled importlib-metadata-4.6.4━━━━━━━━━━━\u001b[0m \u001b[32m60/98\u001b[0m [importlib-metadata]\n",
+      "\u001b[2K  Attempting uninstall: transformers━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━\u001b[0m \u001b[32m75/98\u001b[0m [visualdl]nx]dk]\n",
+      "\u001b[2K    Found existing installation: transformers 4.53.3m━━━━━━━━━\u001b[0m \u001b[32m75/98\u001b[0m [visualdl]\n",
+      "\u001b[2K    Uninstalling transformers-4.53.3:━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m76/98\u001b[0m [transformers]\n",
+      "\u001b[2K      Successfully uninstalled transformers-4.53.3[0m\u001b[90m━━━━━━━━\u001b[0m \u001b[32m76/98\u001b[0m [transformers]\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m98/98\u001b[0m [opentelemetry-exporter-otlp]ers]hon-paddle]\n",
+      "\u001b[1A\u001b[2K\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
+      "nemo-text-processing 1.0.2 requires setuptools>=65.5.1, but you have setuptools 62.3.0 which is incompatible.\n",
+      "tensorboard 2.3.0 requires google-auth<2,>=1.6.3, but you have google-auth 2.41.1 which is incompatible.\n",
+      "thinc 8.3.6 requires numpy<3.0.0,>=2.0.0, but you have numpy 1.26.4 which is incompatible.\n",
+      "triton-gcu 0.9.20250624.1 requires triton==3.2.0; platform_machine != \"aarch64\", but you have triton 3.3.0 which is incompatible.\n",
+      "vllm-gcu 0.8.0+3.4.20250704 requires transformers==4.48.2, but you have transformers 4.55.4 which is incompatible.\n",
+      "xinference 1.7.0.post1+gcu20250807.0.g70546266.dirty requires click<8.2.0, but you have click 8.3.0 which is incompatible.\u001b[0m\u001b[31m\n",
+      "\u001b[0mSuccessfully installed Flask-Babel-4.0.0 GPUtil-1.4.0 aiozmq-1.0.0 aistudio_sdk-0.3.8 apache-tvm-ffi-0.1.11 arctic_inference-0.1.3 asgiref-3.11.1 bce-python-sdk-0.9.71 blobfile-3.2.0 cfgv-3.5.0 colorama-0.4.6 colorlog-6.10.1 contourpy-1.3.2 crc32c-2.8 cuda-bindings-13.2.0 cuda-pathfinder-1.5.4 cuda-python-13.2.0 cycler-0.12.1 decord-0.6.0 dill-0.3.4 distlib-0.4.0 etcd3-0.12.0 fast_dataindex-0.1.2 filelock-3.29.0 flake8-7.3.0 flash_mask-4.0 flashinfer-python-paddle-0.4.1.1 flask-3.1.3 fonttools-4.62.1 gunicorn-25.0.3 identify-2.6.19 importlib-metadata-8.7.1 itsdangerous-2.2.0 kiwisolver-1.5.0 matplotlib-3.10.9 mccabe-0.7.0 mooncake-transfer-engine-0.3.10.post2 moviepy-2.2.1 multiprocess-0.70.12.2 nodeenv-1.10.0 nvidia-cudnn-frontend-1.23.0 nvidia-cutlass-4.2.0.0 nvidia-cutlass-dsl-4.3.0 onnx-1.17.0 onnxoptimizer-0.3.13 opentelemetry-api-1.41.1 opentelemetry-distro-0.62b1 opentelemetry-exporter-otlp-1.41.1 opentelemetry-exporter-otlp-proto-common-1.41.1 opentelemetry-exporter-otlp-proto-grpc-1.41.1 opentelemetry-exporter-otlp-proto-http-1.41.1 opentelemetry-instrumentation-0.62b1 opentelemetry-instrumentation-asgi-0.62b1 opentelemetry-instrumentation-dbapi-0.62b1 opentelemetry-instrumentation-fastapi-0.62b1 opentelemetry-instrumentation-logging-0.62b1 opentelemetry-instrumentation-mysql-0.62b1 opentelemetry-instrumentation-redis-0.62b1 opentelemetry-proto-1.41.1 opentelemetry-sdk-1.41.1 opentelemetry-semantic-conventions-0.62b1 opentelemetry-util-http-0.62b1 p2pstore-0.1.15 paddle2onnx-2.1.0 paddleformers-0.4.0.post20251222 paddlefsl-1.1.0 polygraphy-0.49.26 pre-commit-4.6.0 prettytable-3.17.0 proglog-0.1.12 pybind11-3.0.4 pybind11-global-3.0.4 pycryptodomex-3.23.0 pydot-4.0.1 pyflakes-3.4.0 pynvml-13.0.1 pyparsing-3.3.2 python-discovery-1.3.0 rarfile-4.2 safetensors-0.7.0 seqeval-1.2.2 setuptools-62.3.0 setuptools-scm-10.0.5 tenacity-9.1.4 tool_helpers-0.1.2 transformers-4.55.4 treelib-1.8.0 triton-3.3.0 use_triton_in_paddle-0.1.0 uvicorn-0.46.0 vcs-versioning-1.1.1 virtualenv-21.3.1 visualdl-2.5.3 werkzeug-3.1.8 xlwt-1.3.0 yapf-0.43.0 zipp-3.23.1 zmq-0.0.0\n",
+      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
+      "\u001b[0mLooking in indexes: https://www.paddlepaddle.org.cn/packages/stable/gcu/, https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simplels\n",
+      "Collecting fastdeploy\n",
+      "  Using cached fastdeploy-2.0.0a0-py3-none-any.whl (3.4 MB)\n",
+      "Requirement already satisfied: setuptools<80.0,>=62.3.0 in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (62.3.0)\n",
+      "Requirement already satisfied: pre-commit in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (4.6.0)\n",
+      "Requirement already satisfied: yapf in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.43.0)\n",
+      "Requirement already satisfied: flake8 in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (7.3.0)\n",
+      "Requirement already satisfied: ruamel.yaml in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.18.15)\n",
+      "Requirement already satisfied: zmq in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.0.0)\n",
+      "Requirement already satisfied: aiozmq in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (1.0.0)\n",
+      "Requirement already satisfied: openai in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (2.2.0)\n",
+      "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (4.67.1)\n",
+      "Requirement already satisfied: pynvml in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (13.0.1)\n",
+      "Requirement already satisfied: uvicorn in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.46.0)\n",
+      "Requirement already satisfied: fastapi in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.118.2)\n",
+      "Collecting paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl (from fastdeploy)\n",
+      "  Downloading paddleformers-0.0.0.post20250620-py3-none-any.whl (1.1 MB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.1/1.1 MB\u001b[0m \u001b[31m6.2 MB/s\u001b[0m  \u001b[33m0:00:00\u001b[0m eta \u001b[36m0:00:01\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: redis in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (6.4.0)\n",
+      "Requirement already satisfied: etcd3 in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.12.0)\n",
+      "Requirement already satisfied: httpx in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.28.1)\n",
+      "Requirement already satisfied: tool-helpers in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.1.2)\n",
+      "Requirement already satisfied: cupy-cuda12x in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (13.6.0)\n",
+      "Requirement already satisfied: pybind11[global] in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (3.0.4)\n",
+      "Requirement already satisfied: tabulate in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.9.0)\n",
+      "Requirement already satisfied: gradio in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (5.22.0)\n",
+      "Requirement already satisfied: xlwt in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (1.3.0)\n",
+      "Requirement already satisfied: visualdl in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (2.5.3)\n",
+      "Requirement already satisfied: setuptools-scm>=8 in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (10.0.5)\n",
+      "Requirement already satisfied: prometheus-client in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.23.1)\n",
+      "Requirement already satisfied: decord in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (0.6.0)\n",
+      "Requirement already satisfied: moviepy in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (2.2.1)\n",
+      "Requirement already satisfied: triton==3.3 in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (3.3.0)\n",
+      "Requirement already satisfied: crcmod in /usr/local/lib/python3.10/dist-packages (from fastdeploy) (1.7)\n",
+      "Requirement already satisfied: jieba in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.42.1)\n",
+      "Requirement already satisfied: blobfile in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (3.2.0)\n",
+      "Requirement already satisfied: colorlog in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (6.10.1)\n",
+      "Requirement already satisfied: colorama in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.4.6)\n",
+      "Requirement already satisfied: seqeval in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (1.2.2)\n",
+      "Requirement already satisfied: dill<0.3.5 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.3.4)\n",
+      "Requirement already satisfied: multiprocess<=0.70.12.2 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.70.12.2)\n",
+      "Requirement already satisfied: datasets>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (4.1.1)\n",
+      "Requirement already satisfied: paddlefsl in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (1.1.0)\n",
+      "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.2.1)\n",
+      "Requirement already satisfied: huggingface_hub>=0.19.2 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.35.3)\n",
+      "Requirement already satisfied: onnx>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (1.17.0)\n",
+      "Requirement already satisfied: protobuf>=3.20.2 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (6.32.1)\n",
+      "Requirement already satisfied: paddle2onnx in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (2.1.0)\n",
+      "Requirement already satisfied: Flask-Babel in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (4.0.0)\n",
+      "Requirement already satisfied: typer in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.19.2)\n",
+      "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (13.9.4)\n",
+      "Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.7.0)\n",
+      "Requirement already satisfied: fast_dataindex>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.1.2)\n",
+      "Requirement already satisfied: aistudio-sdk>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.3.8)\n",
+      "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (3.1.6)\n",
+      "Requirement already satisfied: regex in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (2025.9.18)\n",
+      "Requirement already satisfied: numpy<=1.26.4 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (1.26.4)\n",
+      "Requirement already satisfied: tiktoken in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.12.0)\n",
+      "Requirement already satisfied: ml_dtypes in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.5.1)\n",
+      "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.21.4)\n",
+      "Requirement already satisfied: omegaconf in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (2.3.0)\n",
+      "Requirement already satisfied: einops>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.8.1)\n",
+      "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub>=0.19.2->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (3.29.0)\n",
+      "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub>=0.19.2->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (2024.6.1)\n",
+      "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub>=0.19.2->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (25.0)\n",
+      "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub>=0.19.2->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (6.0.1)\n",
+      "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface_hub>=0.19.2->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (2.32.5)\n",
+      "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub>=0.19.2->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (4.14.1)\n",
+      "Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub>=0.19.2->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (1.1.10)\n",
+      "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from aistudio-sdk>=0.3.0->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (7.1.0)\n",
+      "Requirement already satisfied: bce-python-sdk in /usr/local/lib/python3.10/dist-packages (from aistudio-sdk>=0.3.0->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.9.71)\n",
+      "Requirement already satisfied: prettytable in /usr/local/lib/python3.10/dist-packages (from aistudio-sdk>=0.3.0->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (3.17.0)\n",
+      "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from aistudio-sdk>=0.3.0->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (8.3.0)\n",
+      "Requirement already satisfied: pyarrow>=21.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.0.0->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (21.0.0)\n",
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+      "Requirement already satisfied: platformdirs<5,>=3.9.1 in /usr/local/lib/python3.10/dist-packages (from virtualenv>=20.10.0->pre-commit->fastdeploy) (4.5.0)\n",
+      "Requirement already satisfied: python-discovery>=1.2.2 in /usr/local/lib/python3.10/dist-packages (from virtualenv>=20.10.0->pre-commit->fastdeploy) (1.3.0)\n",
+      "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prettytable->aistudio-sdk>=0.3.0->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (0.2.14)\n",
+      "Requirement already satisfied: pybind11-global==3.0.4 in /usr/local/lib/python3.10/dist-packages (from pybind11[global]->fastdeploy) (3.0.4)\n",
+      "Requirement already satisfied: nvidia-ml-py>=12.0.0 in /usr/local/lib/python3.10/dist-packages (from pynvml->fastdeploy) (13.580.82)\n",
+      "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /usr/local/lib/python3.10/dist-packages (from ruamel.yaml->fastdeploy) (0.2.14)\n",
+      "Requirement already satisfied: scikit-learn>=0.21.3 in /usr/local/lib/python3.10/dist-packages (from seqeval->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (1.7.2)\n",
+      "Requirement already satisfied: scipy>=1.8.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.21.3->seqeval->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (1.15.3)\n",
+      "Requirement already satisfied: joblib>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.21.3->seqeval->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (1.5.2)\n",
+      "Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.21.3->seqeval->paddleformers @ https://paddlenlp.bj.bcebos.com/wheel/b9cc3ca0a391f908d5c3b28dd1886d278c432a31/paddleformers-0.0.0.post20250620-py3-none-any.whl->fastdeploy) (3.6.0)\n",
+      "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (from visualdl->fastdeploy) (3.10.9)\n",
+      "Requirement already satisfied: rarfile in /usr/local/lib/python3.10/dist-packages (from visualdl->fastdeploy) (4.2)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->visualdl->fastdeploy) (1.3.2)\n",
+      "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib->visualdl->fastdeploy) (0.12.1)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib->visualdl->fastdeploy) (4.62.1)\n",
+      "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->visualdl->fastdeploy) (1.5.0)\n",
+      "Requirement already satisfied: pyparsing>=3 in /usr/local/lib/python3.10/dist-packages (from matplotlib->visualdl->fastdeploy) (3.3.2)\n",
+      "\u001b[33mWARNING: Error parsing dependencies of mlnx-tools: Invalid version: '-5.2.0-'\u001b[0m\u001b[33m\n",
+      "\u001b[0mInstalling collected packages: paddleformers, fastdeploy\n",
+      "\u001b[2K  Attempting uninstall: paddleformers\n",
+      "\u001b[2K    Found existing installation: paddleformers 0.4.0.post20251222\n",
+      "\u001b[2K    Uninstalling paddleformers-0.4.0.post20251222:\n",
+      "\u001b[2K      Successfully uninstalled paddleformers-0.4.0.post20251222\n",
+      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [fastdeploy]2\u001b[0m [fastdeploy]\n",
+      "\u001b[1A\u001b[2KSuccessfully installed fastdeploy-2.0.0a0 paddleformers-0.0.0.post20250620\n",
+      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
+      "\u001b[0m\u001b[33m⚠️  Warning: 'huggingface-cli download' is deprecated. Use 'hf download' instead.\u001b[0m\n",
+      "Fetching 10 files: 100%|██████████████████████| 10/10 [00:00<00:00, 2146.52it/s]\n",
+      "/data/baidu/ERNIE-4.5-0.3B-Paddle\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 安装 FastDeploy\n",
+    "\n",
+    "!python -m pip install --upgrade pip setuptools wheel\n",
+    "\n",
+    "!python -m pip install -r requirements-gcu.txt --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simplels\n",
+    "!python -m pip install fastdeploy -i https://www.paddlepaddle.org.cn/packages/stable/gcu/ --extra-index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simplels\n",
+    "\n",
+    "# 下载 ERNIE-4.5-0.3B-Paddle 模型\n",
+    "\n",
+    "!huggingface-cli download baidu/ERNIE-4.5-0.3B-Paddle --local-dir baidu/ERNIE-4.5-0.3B-Paddle\n",
+    "\n",
+    "!export ENABLE_V1_KVCACHE_SCHEDULER=1\n",
+    "\n",
+    "# 下面这个环境变量主要是为了绕过单卡的一个小bug。\n",
+    "!export CUDA_VISIBLE_DEVICES=0\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1. 导入依赖"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "import time\n",
+    "import openai\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2. 加载模型"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 2.1 启动 FastDeploy OpenAI API Server\n",
+    "\n",
+    "需要先启动 FastDeploy 的 OpenAI 兼容 API Server。该服务通过子进程启动，提供与 OpenAI 兼容的 HTTP 接口。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "端口 8180 未被占用，可以直接启动。\n",
+      "FastDeploy OpenAI API Server 启动中... (PID: 31668)\n",
+      "服务地址: http://0.0.0.0:8180/v1\n",
+      "请等待服务就绪后再继续执行后续 Cell。\n"
+     ]
+    }
+   ],
+   "source": [
+    "# ========== 启动 FastDeploy OpenAI API Server ==========\n",
+    "# 通过子进程启动 fastdeploy 的 openai api_server。\n",
+    "# 运行本 Cell 会：\n",
+    "#   1. 检查端口是否已被占用，若占用则杀死占用进程\n",
+    "#   2. 启动 fastdeploy 服务\n",
+    "\n",
+    "import subprocess\n",
+    "import os\n",
+    "import time\n",
+    "import socket\n",
+    "import signal\n",
+    "\n",
+    "# FastDeploy OpenAI API Server 配置\n",
+    "FD_MODEL = \"baidu/ERNIE-4.5-0.3B-Paddle\"\n",
+    "FD_HOST = \"0.0.0.0\"\n",
+    "FD_PORT = 8180\n",
+    "FD_METRICS_PORT = 8181\n",
+    "FD_WORKER_QUEUE_PORT = 8182\n",
+    "FD_MAX_MODEL_LEN = 32768\n",
+    "FD_MAX_NUM_SEQS = 32\n",
+    "FD_NUM_GPU_BLOCKS_OVERRIDE = 4896\n",
+    "\n",
+    "# ---------- Step 1: 检查并释放被占用的端口 ----------\n",
+    "def is_port_in_use(port):\n",
+    "    \"\"\"检查指定端口是否被占用\"\"\"\n",
+    "    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n",
+    "        return s.connect_ex((\"127.0.0.1\", port)) == 0\n",
+    "\n",
+    "def kill_process_on_port(port):\n",
+    "    \"\"\"查找并杀死占用指定端口的进程\"\"\"\n",
+    "    try:\n",
+    "        result = subprocess.run(\n",
+    "            [\"lsof\", \"-t\", \"-i\", f\":{port}\"],\n",
+    "            capture_output=True, text=True\n",
+    "        )\n",
+    "        pids = result.stdout.strip().split('\\n')\n",
+    "        for pid_str in pids:\n",
+    "            pid_str = pid_str.strip()\n",
+    "            if pid_str:\n",
+    "                pid = int(pid_str)\n",
+    "                print(f\"端口 {port} 被进程 PID={pid} 占用，正在终止...\")\n",
+    "                os.kill(pid, signal.SIGKILL)\n",
+    "                time.sleep(1)\n",
+    "                print(f\"进程 PID={pid} 已终止。\")\n",
+    "    except (subprocess.CalledProcessError, FileNotFoundError, ValueError, ProcessLookupError):\n",
+    "        try:\n",
+    "            subprocess.run([\"fuser\", \"-k\", f\"{port}/tcp\"], capture_output=True)\n",
+    "            print(f\"已通过 fuser 终止占用端口 {port} 的进程。\")\n",
+    "        except FileNotFoundError:\n",
+    "            print(f\"警告：无法终止占用端口 {port} 的进程（lsof/fuser 均不可用）。\")\n",
+    "\n",
+    "if is_port_in_use(FD_PORT):\n",
+    "    print(f\"端口 {FD_PORT} 已被占用，需要先释放。\")\n",
+    "    kill_process_on_port(FD_PORT)\n",
+    "    time.sleep(2)\n",
+    "    if is_port_in_use(FD_PORT):\n",
+    "        print(f\"警告：端口 {FD_PORT} 仍被占用，启动可能失败！\")\n",
+    "    else:\n",
+    "        print(f\"端口 {FD_PORT} 已释放。\")\n",
+    "else:\n",
+    "    print(f\"端口 {FD_PORT} 未被占用，可以直接启动。\")\n",
+    "\n",
+    "# ---------- Step 2: 设置环境变量并启动服务 ----------\n",
+    "os.environ[\"ENABLE_V1_KVCACHE_SCHEDULER\"] = \"1\"\n",
+    "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\"\n",
+    "\n",
+    "fd_server_cmd = [\n",
+    "    \"python\", \"-m\", \"fastdeploy.entrypoints.openai.api_server\",\n",
+    "    \"--model\", FD_MODEL,\n",
+    "    \"--host\", FD_HOST,\n",
+    "    \"--port\", str(FD_PORT),\n",
+    "    \"--metrics-port\", str(FD_METRICS_PORT),\n",
+    "    \"--engine-worker-queue-port\", str(FD_WORKER_QUEUE_PORT),\n",
+    "    \"--max-model-len\", str(FD_MAX_MODEL_LEN),\n",
+    "    \"--max-num-seqs\", str(FD_MAX_NUM_SEQS),\n",
+    "    \"--num-gpu-blocks-override\", str(FD_NUM_GPU_BLOCKS_OVERRIDE),\n",
+    "]\n",
+    "\n",
+    "fd_server_process = subprocess.Popen(\n",
+    "    fd_server_cmd,\n",
+    "    stdout=subprocess.PIPE,\n",
+    "    stderr=subprocess.PIPE,\n",
+    ")\n",
+    "print(f\"FastDeploy OpenAI API Server 启动中... (PID: {fd_server_process.pid})\")\n",
+    "print(f\"服务地址: http://{FD_HOST}:{FD_PORT}/v1\")\n",
+    "print(\"请等待服务就绪后再继续执行后续 Cell。\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "OpenAI client created, connecting to http://0.0.0.0:8180/v1\n"
+     ]
+    }
+   ],
+   "source": [
+    "MODEL_PATH = \"baidu/ERNIE-4.5-0.3B-Paddle\"\n",
+    "\n",
+    "FD_HOST = \"0.0.0.0\"\n",
+    "FD_PORT = 8180\n",
+    "client = openai.Client(\n",
+    "    base_url=f\"http://{FD_HOST}:{FD_PORT}/v1\",\n",
+    "    api_key=\"null\"\n",
+    ")\n",
+    "print(f\"OpenAI client created, connecting to http://{FD_HOST}:{FD_PORT}/v1\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3. 游戏常量与配置"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 难度系数映射\n",
+    "DIFFICULTY_MULTIPLIERS = {1: 1.0, 2: 1.2, 3: 1.5, 4: 2.0, 5: 2.5}\n",
+    "\n",
+    "# 难度对应的时间限制（秒）\n",
+    "DIFFICULTY_TIME_LIMITS = {1: 30, 2: 25, 3: 20, 4: 18, 5: 15}\n",
+    "\n",
+    "# 难度对应的英文句子目标词数\n",
+    "DIFFICULTY_SENTENCE_LENGTH = {1: 10, 2: 20, 3: 30, 4: 40, 5: 50}\n",
+    "\n",
+    "# 基础分\n",
+    "BASE_SCORE = 10\n",
+    "\n",
+    "# 剩余时间奖励系数\n",
+    "TIME_BONUS_FACTOR = 0.5\n",
+    "\n",
+    "# 连击奖励\n",
+    "STREAK_BONUS = 2\n",
+    "\n",
+    "# 限时模式默认题数\n",
+    "TIMED_MODE_QUESTIONS = 10\n",
+    "\n",
+    "# 题目生成最大重试次数\n",
+    "MAX_RETRIES = 2\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4. 题目生成与解析"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "\n",
+    "\n",
+    "def build_sentence_prompt(difficulty: int) -> str:\n",
+    "    \"\"\"构建让大模型生成英文句子的 Prompt\"\"\"\n",
+    "    target_len = DIFFICULTY_SENTENCE_LENGTH.get(difficulty, 12)\n",
+    "    prompt = f\"\"\"请生成一句约 {target_len} 个词的英文句子。\"\"\"\n",
+    "    return prompt\n",
+    "\n",
+    "\n",
+    "def generate_sentence(difficulty: int) -> str:\n",
+    "    \"\"\"调用大模型生成一句英文，带重试机制\"\"\"\n",
+    "    prompt = build_sentence_prompt(difficulty)\n",
+    "    for attempt in range(MAX_RETRIES + 1):\n",
+    "        try:\n",
+    "            response = client.chat.completions.create(\n",
+    "                model=\"null\",\n",
+    "                messages=[{\"role\": \"user\", \"content\": prompt}],\n",
+    "                temperature=0.8,\n",
+    "                top_p=0.95,\n",
+    "                max_tokens=128,\n",
+    "                stream=False,\n",
+    "            )\n",
+    "            text = response.choices[0].message.content.strip()\n",
+    "\n",
+    "            # 基本校验：非空且至少有4个词\n",
+    "            if text and len(text.split()) >= 4:\n",
+    "                return text\n",
+    "            print(f\"generate_sentence: invalid output (attempt {attempt + 1}): {text[:80]}\")\n",
+    "        except Exception as e:\n",
+    "            print(f\"generate_sentence: error (attempt {attempt + 1}): {e}\")\n",
+    "    return \"\"\n",
+    "\n",
+    "\n",
+    "def get_synonyms(word: str) -> list:\n",
+    "    \"\"\"调用大模型获取一个单词的两个同义词/近义词，带重试机制\"\"\"\n",
+    "    import json\n",
+    "    prompt = f\"\"\"请为英文单词 \"{word}\" 提供 5 个同义词或近义词。以 json 格式返回\n",
+    "{{\n",
+    "    \"synonyms\": [\n",
+    "    ]\n",
+    "}}\"\"\"\n",
+    "    for attempt in range(MAX_RETRIES + 1):\n",
+    "        try:\n",
+    "            response = client.chat.completions.create(\n",
+    "                model=\"null\",\n",
+    "                messages=[{\"role\": \"user\", \"content\": prompt}],\n",
+    "                temperature=0.6,\n",
+    "                top_p=0.9,\n",
+    "                max_tokens=128,\n",
+    "                stream=False,\n",
+    "            )\n",
+    "            text = response.choices[0].message.content.strip()\n",
+    "            \n",
+    "            # 解析：从 JSON 中提取 synonyms 列表\n",
+    "            try:\n",
+    "                data = json.loads(text)\n",
+    "                syns = data.get(\"synonyms\", [])\n",
+    "            except json.JSONDecodeError:\n",
+    "                # 如果 JSON 解析失败，尝试从文本中提取 JSON 部分\n",
+    "                match = re.search(r'\\{[\\s\\S]*?\\}', text)\n",
+    "                if match:\n",
+    "                    try:\n",
+    "                        data = json.loads(match.group())\n",
+    "                        syns = data.get(\"synonyms\", [])\n",
+    "                    except json.JSONDecodeError:\n",
+    "                        syns = []\n",
+    "                else:\n",
+    "                    syns = []\n",
+    "            # 过滤掉和原词相同的，并确保是字符串\n",
+    "            syns = [w for w in syns if isinstance(w, str) and w.lower() != word.lower()]\n",
+    "            # 成功获取至少2个同义词则返回\n",
+    "            if len(syns) >= 2:\n",
+    "                return random.sample(syns, 2)\n",
+    "            print(f\"get_synonyms('{word}'): not enough synonyms (got {len(syns)}, attempt {attempt + 1})\")\n",
+    "        except Exception as e:\n",
+    "            print(f\"get_synonyms('{word}'): error (attempt {attempt + 1}): {e}\")\n",
+    "    return []\n",
+    "\n",
+    "\n",
+    "def pick_cloze_word(sentence: str) -> tuple:\n",
+    "    \"\"\"\n",
+    "    从句子中选取一个适合作为完形填空空白的单词。\n",
+    "    返回 (word, index) 或 None。\n",
+    "    优先选择实词（名词、动词、形容词、副词），跳过冠词、介词、连词等。\n",
+    "    \"\"\"\n",
+    "    # 常见虚词列表，这些词不适合作为完形填空的空白\n",
+    "    skip_words = {\n",
+    "        'a', 'an', 'the', 'is', 'are', 'was', 'were', 'be', 'been', 'being',\n",
+    "        'am', 'do', 'does', 'did', 'have', 'has', 'had', 'having',\n",
+    "        'will', 'would', 'shall', 'should', 'can', 'could', 'may', 'might', 'must',\n",
+    "        'i', 'you', 'he', 'she', 'it', 'we', 'they', 'me', 'him', 'her', 'us', 'them',\n",
+    "        'my', 'your', 'his', 'its', 'our', 'their', 'mine', 'yours', 'hers', 'ours',\n",
+    "        'this', 'that', 'these', 'those',\n",
+    "        'in', 'on', 'at', 'to', 'for', 'of', 'with', 'by', 'from', 'up', 'down',\n",
+    "        'out', 'off', 'over', 'under', 'about', 'into', 'through', 'after', 'before',\n",
+    "        'between', 'among', 'during', 'until', 'since',\n",
+    "        'and', 'or', 'but', 'not', 'nor', 'so', 'yet', 'if', 'then',\n",
+    "        'as', 'than', 'when', 'while', 'where', 'how', 'what', 'which', 'who',\n",
+    "        'very', 'too', 'also', 'just', 'only', 'even', 'still', 'already',\n",
+    "        'no', 'yes', 'all', 'each', 'every', 'both', 'any', 'some',\n",
+    "        'here', 'there', 'now', 'never', 'always', 'often',\n",
+    "    }\n",
+    "\n",
+    "    # 分词并保留原始位置信息\n",
+    "    words = []\n",
+    "    for match in re.finditer(r\"[a-zA-Z']+\", sentence):\n",
+    "        words.append((match.group(), match.start(), match.end()))\n",
+    "\n",
+    "    # 筛选适合的词（长度>=3的实词，不在虚词列表中）\n",
+    "    candidates = [(w, s, e) for w, s, e in words\n",
+    "                  if w.lower() not in skip_words and len(w) >= 3]\n",
+    "\n",
+    "    if not candidates:\n",
+    "        # 退而求其次：选长度>=2的词\n",
+    "        candidates = [(w, s, e) for w, s, e in words\n",
+    "                      if w.lower() not in skip_words and len(w) >= 2]\n",
+    "\n",
+    "    if not candidates:\n",
+    "        return None\n",
+    "\n",
+    "    # 随机选一个\n",
+    "    chosen = random.choice(candidates)\n",
+    "    return chosen[0], chosen[1], chosen[2]\n",
+    "\n",
+    "\n",
+    "def build_cloze_question(sentence: str, word: str, start: int, end: int, synonyms: list) -> tuple:\n",
+    "    \"\"\"\n",
+    "    构建完形填空题目。\n",
+    "    使用 start/end 精确替换被选中的单词，避免句子中有重复词时替换错位置。\n",
+    "    返回 (question_text, options_list, answer)\n",
+    "    \"\"\"\n",
+    "    answer = word\n",
+    "    # 确保有3个选项\n",
+    "    options = [answer]\n",
+    "    for syn in synonyms:\n",
+    "        if syn.lower() != answer.lower() and syn not in options:\n",
+    "            options.append(syn)\n",
+    "    # 如果同义词不够，补充占位\n",
+    "    while len(options) < 3:\n",
+    "        options.append(f\"option{len(options)}\")\n",
+    "    options = options[:3]\n",
+    "    # 随机打乱选项顺序\n",
+    "    random.shuffle(options)\n",
+    "\n",
+    "    # 使用位置信息精确替换被选中的单词\n",
+    "    options_str = ', '.join(options)\n",
+    "    question_text = sentence[:start] + f'[{options_str}]' + sentence[end:]\n",
+    "\n",
+    "    return question_text, options, answer\n",
+    "\n",
+    "\n",
+    "def get_question(difficulty: int):\n",
+    "    \"\"\"生成完形填空题目，带重试机制\"\"\"\n",
+    "    for attempt in range(MAX_RETRIES + 1):\n",
+    "        try:\n",
+    "            # Step 1: 生成英文句子\n",
+    "            sentence = generate_sentence(difficulty)\n",
+    "            \n",
+    "            # 去掉可能的引号包裹\n",
+    "            sentence = sentence.strip('\"\\'')\n",
+    "            if not sentence or len(sentence.split()) < 4:\n",
+    "                print(f\"Generated sentence too short (attempt {attempt + 1}): {sentence[:80]}\")\n",
+    "                continue\n",
+    "\n",
+    "            # Step 2: 选取一个词作为空白\n",
+    "            pick_result = pick_cloze_word(sentence)\n",
+    "            \n",
+    "            if pick_result is None:\n",
+    "                print(f\"No suitable cloze word found (attempt {attempt + 1})\")\n",
+    "                continue\n",
+    "            word, start, end = pick_result\n",
+    "\n",
+    "            # Step 3: 用大模型获取同义词\n",
+    "            synonyms = get_synonyms(word)\n",
+    "            \n",
+    "            if len(synonyms) < 2:\n",
+    "                print(f\"Not enough synonyms for '{word}' (got {len(synonyms)}, attempt {attempt + 1})\")\n",
+    "                continue\n",
+    "\n",
+    "            # Step 4: 构建完形填空题\n",
+    "            question_text, options, answer = build_cloze_question(sentence, word, start, end, synonyms)\n",
+    "            return question_text, options, answer\n",
+    "\n",
+    "        except Exception as e:\n",
+    "            print(f\"Error generating question (attempt {attempt + 1}): {e}\")\n",
+    "    return None\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 5. 游戏状态管理"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class GameState:\n",
+    "    \"\"\"管理游戏的全局状态\"\"\"\n",
+    "\n",
+    "    def __init__(self):\n",
+    "        self.reset()\n",
+    "\n",
+    "    def reset(self):\n",
+    "        self.score = 0\n",
+    "        self.difficulty = 1\n",
+    "        self.streak = 0\n",
+    "        self.mode = \"arcade\"  # arcade / timed\n",
+    "        self.remaining_questions = TIMED_MODE_QUESTIONS\n",
+    "        self.total_correct = 0\n",
+    "        self.current_question = None   # (question_text, options, answer)\n",
+    "        self.game_active = False\n",
+    "        self.start_time = 0\n",
+    "\n",
+    "    def get_time_limit(self) -> int:\n",
+    "        \"\"\"获取当前难度对应的时间限制\"\"\"\n",
+    "        return DIFFICULTY_TIME_LIMITS.get(min(self.difficulty, 5), 15)\n",
+    "\n",
+    "    def calculate_score(self, time_remaining: float) -> int:\n",
+    "        \"\"\"计算单题得分\"\"\"\n",
+    "        diff_key = min(self.difficulty, 5)\n",
+    "        multiplier = DIFFICULTY_MULTIPLIERS[diff_key]\n",
+    "        time_bonus = time_remaining * TIME_BONUS_FACTOR\n",
+    "        streak_bonus = self.streak * STREAK_BONUS\n",
+    "        total = int(BASE_SCORE * multiplier + time_bonus + streak_bonus)\n",
+    "        return max(total, 1)\n",
+    "\n",
+    "\n",
+    "game = GameState()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## 6. 简单交互测试（Cell 逐行执行）\n",
+    "\n",
+    "以下部分不使用 Gradio，通过逐个 Cell 执行来体验游戏流程。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.1 选择游戏模式并初始化"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Game started! Mode: Arcade (闯关模式)\n",
+      "Difficulty: 1 | Time Limit: 30s\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 选择模式：\"arcade\" 或 \"timed\"\n",
+    "GAME_MODE = \"arcade\"\n",
+    "\n",
+    "game.reset()\n",
+    "game.mode = GAME_MODE\n",
+    "game.game_active = True\n",
+    "\n",
+    "mode_label = \"Arcade (闯关模式)\" if game.mode == \"arcade\" else \"Timed (限时模式)\"\n",
+    "print(f\"Game started! Mode: {mode_label}\")\n",
+    "print(f\"Difficulty: {game.difficulty} | Time Limit: {game.get_time_limit()}s\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.2 生成第一道题"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**注意** 如果 Fastdeploy 还没有启动起来，会出现 `Connection error`，需要等待一段时间后重试"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Difficulty: 1 | Time Limit: 30s\n",
+      "\n",
+      "Question: Snowflakes dance in the frost with efficiency and ___, as we wander the realm of winter's embrace.\n",
+      "\n",
+      "Options:\n",
+      "  1. merit\n",
+      "  2. grace\n",
+      "  3. favor\n"
+     ]
+    }
+   ],
+   "source": [
+    "question_data = get_question(game.difficulty)\n",
+    "\n",
+    "if question_data is None:\n",
+    "    print(\"Failed to generate question. Please re-run this cell.\")\n",
+    "else:\n",
+    "    game.current_question = question_data\n",
+    "    game.start_time = time.time()\n",
+    "\n",
+    "    q_text, options, answer = question_data\n",
+    "    display_text = re.sub(r'\\[[^\\]]+\\]', '___', q_text)\n",
+    "\n",
+    "    print(f\"Difficulty: {game.difficulty} | Time Limit: {game.get_time_limit()}s\")\n",
+    "    print(f\"\\nQuestion: {display_text}\")\n",
+    "    print(f\"\\nOptions:\")\n",
+    "    for i, opt in enumerate(options, 1):\n",
+    "        print(f\"  {i}. {opt}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.3 答题\n",
+    "\n",
+    "将 `YOUR_ANSWER` 修改为你选择的答案（必须是选项之一），然后运行此 Cell。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correct! +17 points (Time bonus: 2.9s remaining)\n",
+      "\n",
+      "Score: 35 | Streak: 2 | Difficulty: 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 将下面的值改为你选择的答案\n",
+    "YOUR_ANSWER = \"something\"  # 例如: \"years\"\n",
+    "\n",
+    "if not game.game_active or game.current_question is None:\n",
+    "    print(\"Game is not active. Please initialize first (run 6.1 and 6.2).\")\n",
+    "elif YOUR_ANSWER == \"\":\n",
+    "    print(\"Please set YOUR_ANSWER to one of the options, then re-run this cell.\")\n",
+    "else:\n",
+    "    q_text, options, correct_answer = game.current_question\n",
+    "    elapsed = time.time() - game.start_time\n",
+    "    time_remaining = max(game.get_time_limit() - elapsed, 0)\n",
+    "\n",
+    "    is_correct = (YOUR_ANSWER == correct_answer)\n",
+    "\n",
+    "    if is_correct:\n",
+    "        game.streak += 1\n",
+    "        earned = game.calculate_score(time_remaining)\n",
+    "        game.score += earned\n",
+    "        game.total_correct += 1\n",
+    "        print(f\"Correct! +{earned} points (Time bonus: {time_remaining:.1f}s remaining)\")\n",
+    "        if game.difficulty < 5:\n",
+    "            game.difficulty += 1\n",
+    "    else:\n",
+    "        print(f\"Wrong! The correct answer is: {correct_answer}\")\n",
+    "        if game.mode == \"arcade\":\n",
+    "            game.game_active = False\n",
+    "            print(f\"\\n--- GAME OVER ---\")\n",
+    "            print(f\"Final Score: {game.score} | Max Streak: {game.streak} | Difficulty Reached: {game.difficulty}\")\n",
+    "        else:\n",
+    "            game.streak = 0\n",
+    "\n",
+    "    # 限时模式检查剩余题数\n",
+    "    if game.mode == \"timed\" and game.game_active:\n",
+    "        game.remaining_questions -= 1\n",
+    "        if game.remaining_questions <= 0:\n",
+    "            game.game_active = False\n",
+    "            print(f\"\\n--- GAME OVER ---\")\n",
+    "            print(f\"Final Score: {game.score} | Correct: {game.total_correct}/{TIMED_MODE_QUESTIONS}\")\n",
+    "\n",
+    "    print(f\"\\nScore: {game.score} | Streak: {game.streak} | Difficulty: {game.difficulty}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.4 生成下一道题\n",
+    "\n",
+    "答对后运行此 Cell 生成下一题，然后回到 6.3 继续答题。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Difficulty: 3 | Time Limit: 20s\n",
+      "\n",
+      "Question: The city's vibrant energy blossoms in the late afternoon, buzzing with life, a symphony of laughter and color. Time flies like a gentle breeze, ___ with it a blend of hope and anticipation.\n",
+      "\n",
+      "Options:\n",
+      "  1. carrying up\n",
+      "  2. carrying\n",
+      "  3. carried\n"
+     ]
+    }
+   ],
+   "source": [
+    "if not game.game_active:\n",
+    "    print(\"Game is over. Run 6.1 to start a new game.\")\n",
+    "else:\n",
+    "    question_data = get_question(game.difficulty)\n",
+    "\n",
+    "    if question_data is None:\n",
+    "        print(\"Failed to generate question. Please re-run this cell.\")\n",
+    "    else:\n",
+    "        game.current_question = question_data\n",
+    "        game.start_time = time.time()\n",
+    "\n",
+    "        q_text, options, answer = question_data\n",
+    "        display_text = re.sub(r'\\[[^\\]]+\\]', '___', q_text)\n",
+    "\n",
+    "        remaining_info = f\" | Remaining: {game.remaining_questions}\" if game.mode == \"timed\" else \"\"\n",
+    "        print(f\"Difficulty: {game.difficulty} | Time Limit: {game.get_time_limit()}s{remaining_info}\")\n",
+    "        print(f\"\\nQuestion: {display_text}\")\n",
+    "        print(f\"\\nOptions:\")\n",
+    "        for i, opt in enumerate(options, 1):\n",
+    "            print(f\"  {i}. {opt}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.5 查看当前游戏状态"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mode: Arcade | Status: Active\n",
+      "Score: 35 | Streak: 2 | Difficulty: 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "mode_label = \"Arcade\" if game.mode == \"arcade\" else \"Timed\"\n",
+    "status = \"Active\" if game.game_active else \"Game Over\"\n",
+    "\n",
+    "print(f\"Mode: {mode_label} | Status: {status}\")\n",
+    "print(f\"Score: {game.score} | Streak: {game.streak} | Difficulty: {game.difficulty}\")\n",
+    "if game.mode == \"timed\":\n",
+    "    print(f\"Remaining Questions: {game.remaining_questions} | Correct: {game.total_correct}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## 7. Gradio 应用\n",
+    "\n",
+    "以下部分构建完整的 Gradio Web 界面。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gradio as gr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 7.1 Gradio 回调函数"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def start_game(mode_choice):\n",
+    "    \"\"\"初始化游戏\"\"\"\n",
+    "    game.reset()\n",
+    "    game.mode = mode_choice\n",
+    "    game.game_active = True\n",
+    "\n",
+    "    question_data = get_question(game.difficulty)\n",
+    "    if question_data is None:\n",
+    "        return (\n",
+    "            \"Failed to generate question. Please try again.\",\n",
+    "            gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),\n",
+    "            \"\", \"\", \"\", \"\", \"\"\n",
+    "        )\n",
+    "\n",
+    "    game.current_question = question_data\n",
+    "    game.start_time = time.time()\n",
+    "\n",
+    "    q_text, options, answer = question_data\n",
+    "    display_text = re.sub(r'\\[[^\\]]+\\]', '___', q_text)\n",
+    "\n",
+    "    mode_label = \"Arcade Mode\" if game.mode == \"arcade\" else \"Timed Mode\"\n",
+    "    info = f\"Mode: {mode_label} | Difficulty: {game.difficulty} | Time Limit: {game.get_time_limit()}s\"\n",
+    "\n",
+    "    return (\n",
+    "        display_text,\n",
+    "        gr.update(value=options[0], visible=True),\n",
+    "        gr.update(value=options[1], visible=True),\n",
+    "        gr.update(value=options[2], visible=True),\n",
+    "        str(game.score), str(game.streak), str(game.difficulty),\n",
+    "        info, \"\"\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "def handle_answer(selected_option):\n",
+    "    \"\"\"处理用户答题\"\"\"\n",
+    "    if not game.game_active or game.current_question is None:\n",
+    "        return (\n",
+    "            \"Game is not active. Please start a new game.\",\n",
+    "            gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),\n",
+    "            \"\", \"\", \"\", \"\", \"\"\n",
+    "        )\n",
+    "\n",
+    "    q_text, options, correct_answer = game.current_question\n",
+    "    elapsed = time.time() - game.start_time\n",
+    "    time_remaining = max(game.get_time_limit() - elapsed, 0)\n",
+    "\n",
+    "    is_correct = (selected_option == correct_answer)\n",
+    "\n",
+    "    if is_correct:\n",
+    "        game.streak += 1\n",
+    "        earned = game.calculate_score(time_remaining)\n",
+    "        game.score += earned\n",
+    "        game.total_correct += 1\n",
+    "        feedback = f\"Correct! +{earned} points (Time bonus: {time_remaining:.1f}s)\"\n",
+    "        if game.difficulty < 5:\n",
+    "            game.difficulty += 1\n",
+    "    else:\n",
+    "        feedback = f\"Wrong! The correct answer is: {correct_answer}\"\n",
+    "        if game.mode == \"arcade\":\n",
+    "            game.game_active = False\n",
+    "            summary = (\n",
+    "                f\"\\n--- GAME OVER ---\\n\"\n",
+    "                f\"Final Score: {game.score} | Max Streak: {game.streak} | \"\n",
+    "                f\"Difficulty Reached: {game.difficulty}\"\n",
+    "            )\n",
+    "            return (\n",
+    "                feedback + summary,\n",
+    "                gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),\n",
+    "                str(game.score), str(game.streak), str(game.difficulty),\n",
+    "                \"Game Over\", \"\"\n",
+    "            )\n",
+    "        else:\n",
+    "            game.streak = 0\n",
+    "\n",
+    "    if game.mode == \"timed\":\n",
+    "        game.remaining_questions -= 1\n",
+    "        if game.remaining_questions <= 0:\n",
+    "            game.game_active = False\n",
+    "            summary = (\n",
+    "                f\"\\n--- ALL QUESTIONS DONE ---\\n\"\n",
+    "                f\"Final Score: {game.score} | Correct: {game.total_correct}/{TIMED_MODE_QUESTIONS}\"\n",
+    "            )\n",
+    "            return (\n",
+    "                feedback + summary,\n",
+    "                gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),\n",
+    "                str(game.score), str(game.streak), str(game.difficulty),\n",
+    "                \"Game Over\", \"\"\n",
+    "            )\n",
+    "\n",
+    "    question_data = get_question(game.difficulty)\n",
+    "    if question_data is None:\n",
+    "        game.game_active = False\n",
+    "        return (\n",
+    "            feedback + \"\\nFailed to generate next question. Game ended.\",\n",
+    "            gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),\n",
+    "            str(game.score), str(game.streak), str(game.difficulty),\n",
+    "            \"Error\", \"\"\n",
+    "        )\n",
+    "\n",
+    "    game.current_question = question_data\n",
+    "    game.start_time = time.time()\n",
+    "\n",
+    "    new_q_text, new_options, _ = question_data\n",
+    "    display_text = re.sub(r'\\[[^\\]]+\\]', '___', new_q_text)\n",
+    "\n",
+    "    mode_label = \"Arcade\" if game.mode == \"arcade\" else \"Timed\"\n",
+    "    remaining_info = f\" | Remaining: {game.remaining_questions}\" if game.mode == \"timed\" else \"\"\n",
+    "    info = f\"{mode_label} | Diff: {game.difficulty} | Time: {game.get_time_limit()}s{remaining_info}\"\n",
+    "\n",
+    "    return (\n",
+    "        display_text,\n",
+    "        gr.update(value=new_options[0], visible=True),\n",
+    "        gr.update(value=new_options[1], visible=True),\n",
+    "        gr.update(value=new_options[2], visible=True),\n",
+    "        str(game.score), str(game.streak), str(game.difficulty),\n",
+    "        info, feedback\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 7.2 构建 Gradio 界面"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with gr.Blocks(title=\"English Cloze Challenge\", theme=gr.themes.Soft()) as demo:\n",
+    "    gr.Markdown(\"# English Cloze Challenge\")\n",
+    "    gr.Markdown(\"Select a game mode and answer cloze questions to earn points!\")\n",
+    "\n",
+    "    with gr.Row():\n",
+    "        with gr.Column(scale=1):\n",
+    "            mode_radio = gr.Radio(\n",
+    "                choices=[\"arcade\", \"timed\"],\n",
+    "                value=\"arcade\",\n",
+    "                label=\"Game Mode\",\n",
+    "                info=\"Arcade: game over on wrong answer | Timed: answer 10 questions\"\n",
+    "            )\n",
+    "            start_btn = gr.Button(\"Start Game\", variant=\"primary\")\n",
+    "\n",
+    "        with gr.Column(scale=2):\n",
+    "            info_text = gr.Textbox(label=\"Game Info\", interactive=False)\n",
+    "            feedback_text = gr.Textbox(label=\"Feedback\", interactive=False)\n",
+    "\n",
+    "    gr.Markdown(\"---\")\n",
+    "\n",
+    "    question_display = gr.Textbox(label=\"Question\", lines=3, interactive=False)\n",
+    "\n",
+    "    with gr.Row():\n",
+    "        opt1_btn = gr.Button(\"Option 1\", visible=False)\n",
+    "        opt2_btn = gr.Button(\"Option 2\", visible=False)\n",
+    "        opt3_btn = gr.Button(\"Option 3\", visible=False)\n",
+    "\n",
+    "    gr.Markdown(\"---\")\n",
+    "\n",
+    "    with gr.Row():\n",
+    "        score_display = gr.Textbox(label=\"Score\", value=\"0\", interactive=False)\n",
+    "        streak_display = gr.Textbox(label=\"Streak\", value=\"0\", interactive=False)\n",
+    "        diff_display = gr.Textbox(label=\"Difficulty\", value=\"1\", interactive=False)\n",
+    "\n",
+    "    # --- Event bindings ---\n",
+    "\n",
+    "    start_btn.click(\n",
+    "        fn=start_game,\n",
+    "        inputs=[mode_radio],\n",
+    "        outputs=[\n",
+    "            question_display,\n",
+    "            opt1_btn, opt2_btn, opt3_btn,\n",
+    "            score_display, streak_display, diff_display,\n",
+    "            info_text, feedback_text\n",
+    "        ]\n",
+    "    )\n",
+    "\n",
+    "    for btn in [opt1_btn, opt2_btn, opt3_btn]:\n",
+    "        btn.click(\n",
+    "            fn=handle_answer,\n",
+    "            inputs=[btn],\n",
+    "            outputs=[\n",
+    "                question_display,\n",
+    "                opt1_btn, opt2_btn, opt3_btn,\n",
+    "                score_display, streak_display, diff_display,\n",
+    "                info_text, feedback_text\n",
+    "            ]\n",
+    "        )\n",
+    "\n",
+    "print(\"Gradio app built successfully!\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 7.3 启动 Gradio 应用"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "demo.launch(server_name=\"0.0.0.0\", server_port=7860, share=True)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
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