Update app.py

app.py

@@ -1,784 +1,19 @@
 import gradio as gr
-import requests
-import json
-import os
-import subprocess
-import uuid
-import time
-import cv2
-from typing import Optional, List
-import numpy as np
-from datetime import datetime, timedelta
-from collections import defaultdict
 
-os.environ["SPACES_QUEUE_ENABLED"] = "true"
-
-# 后端API配置（可配置化）
-BACKEND_URL = os.getenv("BACKEND_URL", "http://47.95.6.204:51001/")
-API_ENDPOINTS = {
-    "submit_task": f"{BACKEND_URL}/predict/video",
-    "query_status": f"{BACKEND_URL}/predict/task",
-    "terminate_task": f"{BACKEND_URL}/predict/terminate"
-}
-
-# 模拟场景配置
-SCENE_CONFIGS = {
-    "scene_1": {
-        "description": "scene_1",
-        "objects": ["milk carton", "ceramic bowl", "mug"],
-        "preview_image": "assets/scene_1.png"
-    },
-}
-
-# 可用模型列表
-MODEL_CHOICES = [
-    "gr1",
-    # "GR00T-N1",
-    # "GR00T-1.5",
-    # "Pi0",
-    # "DP+CLIP",
-    # "AcT+CLIP"
-]
-
-###############################################################################
-
-SESSION_TASKS = {}
-IP_REQUEST_RECORDS = defaultdict(list)
-IP_LIMIT = 5  # 每分钟最多请求次数
-
-def is_request_allowed(ip: str) -> bool:
-    now = datetime.now()
-    IP_REQUEST_RECORDS[ip] = [t for t in IP_REQUEST_RECORDS[ip] if now - t < timedelta(minutes=1)]
-    if len(IP_REQUEST_RECORDS[ip]) < IP_LIMIT:
-        IP_REQUEST_RECORDS[ip].append(now)
-        return True
-    return False
-###############################################################################
-
-
-# 日志文件路径
-LOG_DIR = "/opt/gradio-frontend/logs"
-os.makedirs(LOG_DIR, exist_ok=True)
-ACCESS_LOG = os.path.join(LOG_DIR, "access.log")
-SUBMISSION_LOG = os.path.join(LOG_DIR, "submissions.log")
-
-def log_access(user_ip: str = None, user_agent: str = None):
-    """记录用户访问日志"""
-    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    log_entry = {
-        "timestamp": timestamp,
-        "type": "access",
-        "user_ip": user_ip or "unknown",
-        "user_agent": user_agent or "unknown"
-    }
-    
-    with open(ACCESS_LOG, "a") as f:
-        f.write(json.dumps(log_entry) + "\n")
-
-def log_submission(scene: str, prompt: str, model: str, max_step: int, user: str = "anonymous", res: str = "unknown"):
-    """记录用户提交日志"""
-    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    log_entry = {
-        "timestamp": timestamp,
-        "type": "submission",
-        "user": user,
-        "scene": scene,
-        "prompt": prompt,
-        "model": model,
-        "max_step": str(max_step),
-        "res": res
-    }
-    
-    with open(SUBMISSION_LOG, "a") as f:
-        f.write(json.dumps(log_entry) + "\n")
-
-def read_logs(log_type: str = "all", max_entries: int = 50) -> list:
-    """读取日志文件"""
-    logs = []
-    
-    if log_type in ["all", "access"]:
-        try:
-            with open(ACCESS_LOG, "r") as f:
-                for line in f:
-                    logs.append(json.loads(line.strip()))
-        except FileNotFoundError:
-            pass
-    
-    if log_type in ["all", "submission"]:
-        try:
-            with open(SUBMISSION_LOG, "r") as f:
-                for line in f:
-                    logs.append(json.loads(line.strip()))
-        except FileNotFoundError:
-            pass
-    
-    # 按时间戳排序，最新的在前
-    logs.sort(key=lambda x: x["timestamp"], reverse=True)
-    return logs[:max_entries]
-
-def format_logs_for_display(logs: list) -> str:
-    """格式化日志用于显示"""
-    if not logs:
-        return "暂无日志记录"
-    
-    markdown = "### 系统访问日志\n\n"
-    markdown += "| 时间 | 类型 | 用户/IP | 详细信息 |\n"
-    markdown += "|------|------|---------|----------|\n"
-    
-    for log in logs:
-        timestamp = log.get("timestamp", "unknown")
-        log_type = "访问" if log.get("type") == "access" else "提交"
-        
-        if log_type == "访问":
-            user = log.get("user_ip", "unknown")
-            details = f"User-Agent: {log.get('user_agent', 'unknown')}"
-        else:
-            user = log.get("user", "anonymous")
-            result = log.get('res', 'unknown')
-            if result != "success": 
-                if len(result) > 40:  # Adjust this threshold as needed
-                    result = f"{result[:20]}...{result[-20:]}"
-            details = f"场景: {log.get('scene', 'unknown')}, 指令: {log.get('prompt', '')}, 模型: {log.get('model', 'unknown')}, max step: {log.get('max_step', '300')}, result: {result}"
-        
-        markdown += f"| {timestamp} | {log_type} | {user} | {details} |\n"
-    
-    return markdown
-
-
-
-###############################################################################
-
-
-def stream_simulation_results(result_folder: str, task_id: str, fps: int = 30):
-    """
-    流式输出仿真结果，同时监控图片文件夹和后端任务状态
-    
-    参数:
-        result_folder: 包含生成图片的文件夹路径
-        task_id: 后端任务ID���于状态查询
-        fps: 输出视频的帧率
-        
-    生成:
-        生成的视频文件路径 (分段输出)
-    """
-    # 初始化变量
-    result_folder = os.path.join(result_folder, "image")
-    os.makedirs(result_folder, exist_ok=True)
-    frame_buffer: List[np.ndarray] = []
-    frames_per_segment = fps * 2  # 每2秒60帧
-    processed_files = set()
-    width, height = 0, 0
-    last_status_check = 0
-    status_check_interval = 5  # 每5秒检查一次后端状态
-    max_time = 240
-
-    while max_time > 0:
-        max_time -= 1
-        current_time = time.time()
-        
-        # 定期检查后端状态
-        if current_time - last_status_check > status_check_interval:
-            status = get_task_status(task_id)
-            print("status: ", status)
-            if status.get("status") == "completed":
-                # 确保处理完所有已生成的图片
-                process_remaining_images(result_folder, processed_files, frame_buffer)
-                if frame_buffer:
-                    yield create_video_segment(frame_buffer, fps, width, height)
-                break
-            elif status.get("status") == "failed":
-                raise gr.Error(f"任务执行失败: {status.get('result', '未知错误')}")
-            elif status.get("status") == "terminated":
-                break
-            last_status_check = current_time
-
-        # 处理新生成的图片
-        current_files = sorted(
-            [f for f in os.listdir(result_folder) 
-             if f.lower().endswith(('.png', '.jpg', '.jpeg'))],
-            key=lambda x: os.path.splitext(x)[0]  # 按文件名排序
-        )
-        
-        new_files = [f for f in current_files if f not in processed_files]
-        has_new_frames = False
-        
-        for filename in new_files:
-            try:
-                img_path = os.path.join(result_folder, filename)
-                frame = cv2.imread(img_path)
-                if frame is not None:
-                    if width == 0:  # 第一次获取图像尺寸
-                        height, width = frame.shape[:2]
-                    
-                    frame_buffer.append(frame)
-                    processed_files.add(filename)
-                    has_new_frames = True
-            except Exception as e:
-                print(f"Error processing {filename}: {e}")
-
-        # 如果有新帧且积累够60帧，输出视频片段
-        if has_new_frames and len(frame_buffer) >= frames_per_segment:
-            segment_frames = frame_buffer[:frames_per_segment]
-            frame_buffer = frame_buffer[frames_per_segment:]
-            yield create_video_segment(segment_frames, fps, width, height)
-
-        time.sleep(1)  # 避免过于频繁检查
-    
-    if max_time <= 0:
-        raise gr.Error("timeout 240s")
-
-def create_video_segment(frames: List[np.ndarray], fps: int, width: int, height: int) -> str:
-    """创建视频片段"""
-    os.makedirs("/opt/gradio_demo/tasks/video_chunk", exist_ok=True)
-    segment_name = f"/opt/gradio_demo/tasks/video_chunk/output_{uuid.uuid4()}.mp4"
-    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
-    out = cv2.VideoWriter(segment_name, fourcc, fps, (width, height))
-    
-    for frame in frames:
-        out.write(frame)
-    out.release()
-    
-    return segment_name
-
-def process_remaining_images(result_folder: str, processed_files: set, frame_buffer: List[np.ndarray]):
-    """处理剩余的图片"""
-    current_files = sorted(
-        [f for f in os.listdir(result_folder) 
-         if f.lower().endswith(('.png', '.jpg', '.jpeg'))],
-        key=lambda x: os.path.splitext(x)[0]
-    )
-    
-    new_files = [f for f in current_files if f not in processed_files]
-    
-    for filename in new_files:
-        try:
-            img_path = os.path.join(result_folder, filename)
-            frame = cv2.imread(img_path)
-            if frame is not None:
-                frame_buffer.append(frame)
-                processed_files.add(filename)
-        except Exception as e:
-            print(f"Error processing remaining {filename}: {e}")
-
-
-
-
-###############################################################################
-
-
-
-def submit_to_backend(
-    scene: str,
-    prompt: str,
-    model: str,
-    max_step: int,
-    user: str = "Gradio-user",
-) -> dict:
-    job_id = str(uuid.uuid4())
-
-    data = {
-        "scene_type": scene,
-        "instruction": prompt,
-        "model_type": model,
-        "max_step": str(max_step)
-    }
-    
-    payload = {
-        "user": user,
-        "task": "robot_manipulation",
-        "job_id": job_id,
-        "data": json.dumps(data) 
-    }
-    
-    try:
-        headers = {"Content-Type": "application/json"}
-        response = requests.post(
-            API_ENDPOINTS["submit_task"],
-            json=payload,
-            headers=headers,
-            timeout=10
-        )
-        return response.json()
-    except Exception as e:
-        return {"status": "error", "message": str(e)}
-
-def get_task_status(task_id: str) -> dict:
-    """
-    查询任务状态
-    """
-    try:
-        response = requests.get(
-            f"{API_ENDPOINTS['query_status']}/{task_id}",
-            timeout=5
-        )
-        return response.json()
-    except Exception as e:
-        return {"status": "error", "message": str(e)}
-
-def terminate_task(task_id: str) -> Optional[dict]:
-    """
-    终止任务
-    """
-    try:
-        response = requests.post(
-            f"{API_ENDPOINTS['terminate_task']}/{task_id}",
-            timeout=3
-        )
-        return response.json()
-    except Exception as e:
-        print(f"Error terminate task: {e}")
-        return None
-
-def convert_to_h264(video_path):
+def show_external_website():
+    # 使用iframe嵌入目标网页
+    iframe_html = """
+    <iframe 
+        src="http://47.95.6.204:51000" 
+        width="100%" 
+        height="500px" 
+        frameborder="0"
+        allow="fullscreen"
+    ></iframe>
     """
-    将视频转换为 H.264 编码的 MP4 格式
-    生成新文件路径在原路径基础上添加 _h264 后缀）
-    """
-    base, ext = os.path.splitext(video_path)
-    video_path_h264 = f"{base}_h264.mp4"
-    
-    try:
-        # 构建 FFmpeg 命令
-        ffmpeg_cmd = [
-            "ffmpeg",
-            "-i", video_path,
-            "-c:v", "libx264",
-            "-preset", "slow",
-            "-crf", "23",
-            "-c:a", "aac",
-            "-movflags", "+faststart",
-            video_path_h264
-        ]
-        
-        # 执行 FFmpeg 命令
-        subprocess.run(ffmpeg_cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-        
-        # 检查输出文件是否存在
-        if not os.path.exists(video_path_h264):
-            raise FileNotFoundError(f"H.264 编码文件未生成: {video_path_h264}")
-            
-        return video_path_h264
-        
-    except subprocess.CalledProcessError as e:
-        raise gr.Error(f"FFmpeg 转换失败: {e.stderr}")
-    except Exception as e:
-        raise gr.Error(f"转换过程中发生错误: {str(e)}")
-
-def run_simulation(
-    scene: str,
-    prompt: str,
-    model: str,
-    max_step: int,
-    history: list,
-    request: gr.Request
-) -> dict:
-    """运行仿真并更新历史记录"""
-    # 获取当前时间
-    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    scene_desc = SCENE_CONFIGS.get(scene, {}).get("description", scene)
-    
-    # 记录用户提交
-    user_ip = request.client.host if request else "unknown"
-    session_id = request.session_hash
-
-    if not is_request_allowed(user_ip):
-        log_submission(scene, prompt, model, max_step, user_ip, "IP blocked temporarily")
-        raise gr.Error("Too many requests from this IP. Please wait and try again one minute later.")
-    
-    # 提交任务到后端
-    submission_result = submit_to_backend(scene, prompt, model, max_step, user_ip)
-    print("submission_result: ", submission_result)
-
-    if submission_result.get("status") != "pending":
-        log_submission(scene, prompt, model, max_step, user_ip, "Submission failed")
-        raise gr.Error(f"Submission failed: {submission_result.get('message', 'unknown issue')}")
-    
-    try:
-        task_id = submission_result["task_id"]
-        SESSION_TASKS[session_id] = task_id
-
-        gr.Info(f"Simulation started, task_id: {task_id}")
-        time.sleep(5)
-        # 获取任务状态
-        status = get_task_status(task_id)
-        print("first status: ", status)
-        result_folder = status.get("result", "")
-    except Exception as e:
-        log_submission(scene, prompt, model, max_step, user_ip, str(e))
-        raise gr.Error(f"error occurred when parsing submission result from backend: {str(e)}")
-
-
-    if not os.path.exists(result_folder):
-        log_submission(scene, prompt, model, max_step, user_ip, "Result folder provided by backend doesn't exist")
-        raise gr.Error(f"Result folder provided by backend doesn't exist: <PATH>{result_folder}")
-    
-    
-    # 流式输出视频片段
-    try:
-        for video_path in stream_simulation_results(result_folder, task_id):
-            if video_path:
-                yield video_path, history
-    except Exception as e:
-        log_submission(scene, prompt, model, max_step, user_ip, str(e))
-        raise gr.Error(f"Error while streaming: {str(e)}")
-
-    # 获取任务状态
-    status = get_task_status(task_id)
-    print("status: ", status)
-    if status.get("status") == "completed":
-        video_path = os.path.join(status.get("result"), "manipulation.mp4")
-        print("video_path: ", video_path)
-        video_path = convert_to_h264(video_path)
-
-        # 创建新的历史记录条目
-        new_entry = {
-            "timestamp": timestamp,
-            "scene": scene,
-            "model": model,
-            "prompt": prompt,
-            "max_step": max_step,
-            "video_path": video_path,
-            "task_id": task_id
-        }
-        
-        # 将新条目添加到历史记录顶部
-        updated_history = history + [new_entry]
-        
-        # 限制历史记录数量，避免内存问题
-        if len(updated_history) > 10:
-            updated_history = updated_history[:10]
-        
-        print("updated_history:", updated_history)
-        log_submission(scene, prompt, model, max_step, user_ip, "success")
-        gr.Info("Simulation completed successfully!")
-        yield None, updated_history
-
-    elif status.get("status") == "failed":
-        log_submission(scene, prompt, model, max_step, user_ip, status.get('result', 'backend error'))
-        raise gr.Error(f"Task execution failed: {status.get('result', 'backend unknown issue')}")
-        yield None, history
-    
-    elif status.get("status") == "terminated":
-        log_submission(scene, prompt, model, max_step, user_ip, "user end terminated")
-        yield None, history
-
-    else:
-        log_submission(scene, prompt, model, max_step, user_ip, "missing task's status from backend (Pending?)")
-        raise gr.Error("missing task's status from backend (Pending?)")
-        yield None, history
-
-
-###############################################################################
-
-    
-def update_history_display(history: list) -> list:
-    """更新历史记录显示"""
-    print("更新历史记录显示")
-    updates = []
-    
-    for i in range(10):
-        if i < len(history):  # 如果有历史记录，更新对应槽位
-            entry = history[i]
-            updates.extend([
-                gr.update(visible=True),  # 更新 Column 可见性
-                gr.update(visible=True, label=f"# {i+1} | {entry['scene']} | {entry['model']} | {entry['prompt']}", open=(i+1==len(history))),  # 更新 Accordion
-                gr.update(value=entry['video_path'], visible=True, autoplay=False),  # 更新 Video
-                gr.update(value=f"{entry['timestamp']}")  # 更新详细 Markdown
-            ])
-        else:  # 如果没有历史记录，隐藏槽位
-            updates.extend([
-                gr.update(visible=False),  # 隐藏 Column
-                gr.update(visible=False),  # 隐藏 Accordion
-                gr.update(value=None, visible=False),  # 清空 Video
-                gr.update(value="")  # 清空详细 Markdown
-            ])
-    print("更新完成！")
-    return updates
-
-def update_scene_display(scene: str) -> tuple[str, Optional[str]]:
-    """更新场景描述和预览图"""
-    config = SCENE_CONFIGS.get(scene, {})
-    desc = config.get("description", "No description")
-    objects = ", ".join(config.get("objects", []))
-    image = config.get("preview_image", None)
-    
-    markdown = f"**{desc}**  \nObjects in this scene: {objects}"
-    return markdown, image
-
-def update_log_display():
-    """更新日志显示"""
-    logs = read_logs()
-    return format_logs_for_display(logs)
-
-###############################################################################
-
-
-def cleanup_session(request: gr.Request):
-    session_id = request.session_hash
-    task_id = SESSION_TASKS.pop(session_id, None)
-    
-    if task_id:
-        try:
-            status = get_task_status(task_id)
-            print("clean up check status: ", status)
-            if status.get("status") == "pending":
-                res = terminate_task(task_id)
-                if res.get("status") == "success":
-                    print(f"已终止任务 {task_id}")
-                else:
-                    print(f"终止任务失败 {task_id}: {res.get('status', 'unknown issue')}")
-        except Exception as e:
-            print(f"终止任务失败 {task_id}: {e}")
-
-
-
-###############################################################################
-
-header_html = """
-<div style="display: flex; justify-content: space-between; align-items: center; width: 100%; margin-bottom: 20px; padding: 20px; background: linear-gradient(135deg, #528bdb 0%, #a7b5d0 100%); border-radius: 8px; box-shadow: 0 2px 8px rgba(0,0,0,0.1);">
-    <div style="display: flex; align-items: center;">
-        <img src="https://www.shlab.org.cn/static/img/index_14.685f6559.png" alt="Institution Logo" style="height: 60px; margin-right: 20px;">
-        <div>
-            <h1 style="margin: 0; color: #2c3e50; font-weight: 600;">🤖 InternManip Model Inference Demo</h1>
-            <p style="margin: 4px 0 0 0; color: #5d6d7e; font-size: 0.9em;">Model trained on InternManip framework</p>
-        </div>
-    </div>
-    <div style="display: flex; gap: 15px; align-items: center;">
-        <a href="https://github.com/InternRobotics" target="_blank" style="text-decoration: none; transition: transform 0.2s;" onmouseover="this.style.transform='scale(1.1)'" onmouseout="this.style.transform='scale(1)'">
-            <img src="https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png" alt="GitHub" style="height: 30px;">
-        </a>
-        <a href="https://huggingface.co/InternRobotics" target="_blank" style="text-decoration: none; transition: transform 0.2s;" onmouseover="this.style.transform='scale(1.1)'" onmouseout="this.style.transform='scale(1)'">
-            <img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" alt="HuggingFace" style="height: 30px;">
-        </a>
-        <a href="https://huggingface.co/spaces/OpenRobotLab/InternNav-eval-demo" target="_blank">
-            <button style="padding: 8px 15px; background: #3498db; color: white; border: none; border-radius: 4px; cursor: pointer; font-weight: 500; transition: all 0.2s;" 
-                    onmouseover="this.style.backgroundColor='#2980b9'; this.style.transform='scale(1.05)'" 
-                    onmouseout="this.style.backgroundColor='#3498db'; this.style.transform='scale(1)'">
-                Go to InternNav Demo
-            </button>
-        </a>
-    </div>
-</div>
-"""
-
-###############################################################################
-
-
-# 自定义CSS样式
-custom_css = """
-#simulation-panel {
-    border-radius: 8px;
-    padding: 20px;
-    background: #f9f9f9;
-    box-shadow: 0 2px 4px rgba(0,0,0,0.1);
-}
-#result-panel {
-    border-radius: 8px;
-    padding: 20px;
-    background: #f0f8ff;
-}
-.dark #simulation-panel { background: #2a2a2a; }
-.dark #result-panel { background: #1a2a3a; }
-
-.history-container {
-    max-height: 600px;
-    overflow-y: auto;
-    margin-top: 20px;
-}
-
-.history-accordion {
-    margin-bottom: 10px;
-}
-
-.logs-container {
-    max-height: 500px;
-    overflow-y: auto;
-    margin-top: 20px;
-    padding: 15px;
-    background: #f5f5f5;
-    border-radius: 8px;
-}
-
-.dark .logs-container {
-    background: #2a2a2a;
-}
-
-.log-table {
-    width: 100%;
-    border-collapse: collapse;
-}
-
-.log-table th, .log-table td {
-    padding: 8px 12px;
-    border: 1px solid #ddd;
-    text-align: left;
-}
-
-.dark .log-table th, .dark .log-table td {
-    border-color: #444;
-}
-"""
-
-# 创建Gradio界面
-with gr.Blocks(title="InternManip Model Inference Demo", css=custom_css) as demo:
-    gr.HTML(header_html)
-
-    # # 标题和描述
-    # gr.Markdown("""
-    # # 🤖 InternManip Model Inference Demo
-    # ### Model trained on InternManip framework
-    # """)
-    
-    # 存储历史记录的组件变量
-    history_state = gr.State([])
-
-    with gr.Row():
-        # 左侧控制面板
-        with gr.Column(elem_id="simulation-panel"):
-            gr.Markdown("### Simulation Settings")
-            
-            # 场景选择
-            scene_dropdown = gr.Dropdown(
-                label="Choose a scene",
-                choices=list(SCENE_CONFIGS.keys()),
-                value="scene_1",
-                interactive=True
-            )
-            
-            # 场景描述预览
-            scene_description = gr.Markdown("")
-            scene_preview = gr.Image(
-                label="Scene Preview",
-                elem_classes=["scene-preview"],
-                interactive=False
-            )
-            
-            scene_dropdown.change(
-                update_scene_display,
-                inputs=scene_dropdown,
-                outputs=[scene_description, scene_preview]
-            )
-            
-            # 操作指令输入
-            prompt_input = gr.Textbox(
-                label="Manipulation Prompt",
-                value="Move the milk carton to the top of the ceramic bowl.",
-                placeholder="Example: 'Move the milk carton to the top of the ceramic bowl.'",
-                lines=2,
-                max_lines=4
-            )
-            
-            # 模型选择
-            model_dropdown = gr.Dropdown(
-                label="Chose a pretrained model",
-                choices=MODEL_CHOICES,
-                value=MODEL_CHOICES[0]
-            )
-
-            with gr.Accordion("Advance Settings", open=False):
-                max_steps = gr.Slider(
-                    minimum=50,
-                    maximum=500,
-                    value=300,
-                    step=10,
-                    label="Max Steps"
-                )
-            
-            # 提交按钮
-            submit_btn = gr.Button("Apply and Start Simulation", variant="primary")
-        
-        # 右侧结果面板
-        with gr.Column(elem_id="result-panel"):
-            gr.Markdown("### Result")
-
-            # progress_instruction = gr.Markdown("### Please click the botton on the left column to start.")
-
-            # 视频输出
-            video_output = gr.Video(
-                label="Live",
-                interactive=False,
-                format="mp4",
-                autoplay=True,
-                streaming=True
-            )
-            
-            # 历史记录显示区域
-            with gr.Column() as history_container:
-                gr.Markdown("### History")
-                gr.Markdown("#### History will be reset after refresh")
-                
-                # 预创建10个历史记录槽位
-                history_slots = []
-                for i in range(10):
-                    with gr.Column(visible=False) as slot:
-                        with gr.Accordion(visible=False, open=False) as accordion:
-                            video = gr.Video(interactive=False)  # 用于播放视频
-                            detail_md = gr.Markdown()  # 用于显示详细信息
-                    history_slots.append((slot, accordion, video, detail_md))  # 存储所有相关组件
-    
-    # 添加日志显示区域
-    with gr.Accordion("查看系统访问日志(DEV ONLY)", open=False):
-        logs_display = gr.Markdown()
-        refresh_logs_btn = gr.Button("刷新日志", variant="secondary")
-        
-        refresh_logs_btn.click(
-            update_log_display,
-            outputs=logs_display
-        )
-    
-    # 示例
-    gr.Examples(
-        examples=[
-            ["scene_1", "Move the milk carton to the top of the ceramic bowl.", "gr1", 300],
-        ],
-        inputs=[scene_dropdown, prompt_input, model_dropdown, max_steps],
-        label="Examples"
-    )
-    
-    # 提交处理
-    submit_btn.click(
-        fn=run_simulation,
-        inputs=[scene_dropdown, prompt_input, model_dropdown, max_steps, history_state],
-        outputs=[video_output, history_state],
-        queue=True
-    ).then(
-        fn=update_history_display,
-        inputs=history_state,
-        outputs=[comp for slot in history_slots for comp in slot],
-        queue=True
-    ).then(
-        fn=update_log_display,
-        outputs=logs_display
-    )
-    
-    # 初始化场景描述和日志
-    demo.load(
-        fn=lambda: update_scene_display("scene_1"),
-        outputs=[scene_description, scene_preview]
-    ).then(
-        fn=update_log_display,
-        outputs=logs_display
-    )
-    
-    # 记录访问
-    def record_access(request: gr.Request):
-        user_ip = request.client.host if request else "unknown"
-        user_agent = request.headers.get("user-agent", "unknown")
-        log_access(user_ip, user_agent)
-        return update_log_display()
-    
-    demo.load(
-        fn=record_access,
-        inputs=None,
-        outputs=logs_display,
-        queue=False
-    )
-    
-    demo.queue(default_concurrency_limit=8)
-
-    demo.unload(fn=cleanup_session)
+    return iframe_html
 
+with gr.Blocks() as demo:
+    gr.HTML(show_external_website())
 
-# 启动应用
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()