app-backup.py

import os
import re
import random
from http import HTTPStatus
from typing import Dict, List, Optional, Tuple
import base64
import anthropic
import openai
import asyncio
import time
from functools import partial
import json
import gradio as gr
import modelscope_studio.components.base as ms
import modelscope_studio.components.legacy as legacy
import modelscope_studio.components.antd as antd
import html
import urllib.parse
from huggingface_hub import HfApi, create_repo, hf_hub_download
import string
import requests
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common.exceptions import WebDriverException, TimeoutException
from PIL import Image
from io import BytesIO
from datetime import datetime
import spaces
from safetensors.torch import load_file
from diffusers import FluxPipeline
import torch
from os import path  # 이 줄을 추가

# 캐시 경로 설정
cache_path = path.join(path.dirname(path.abspath(__file__)), "models")
os.environ["TRANSFORMERS_CACHE"] = cache_path
os.environ["HF_HUB_CACHE"] = cache_path
os.environ["HF_HOME"] = cache_path


# Hugging Face 토큰 설정
HF_TOKEN = os.getenv("HF_TOKEN")
if not HF_TOKEN:
    print("Warning: HF_TOKEN not found in environment variables")

# FLUX 모델 초기화
if not path.exists(cache_path):
    os.makedirs(cache_path, exist_ok=True)

try:
    pipe = FluxPipeline.from_pretrained(
        "black-forest-labs/FLUX.1-dev",
        torch_dtype=torch.bfloat16,
        use_auth_token=HF_TOKEN  # Hugging Face 토큰 추가
    )
    pipe.load_lora_weights(
        hf_hub_download(
            "ByteDance/Hyper-SD",
            "Hyper-FLUX.1-dev-8steps-lora.safetensors",
            token=HF_TOKEN  # Hugging Face 토큰 추가
        )
    )
    pipe.fuse_lora(lora_scale=0.125)
    pipe.to(device="cuda", dtype=torch.bfloat16)
    print("Successfully initialized FLUX model with authentication")
except Exception as e:
    print(f"Error initializing FLUX model: {str(e)}")
    pipe = None
    


# 이미지 생성 함수 추가
@spaces.GPU
def generate_image(prompt, height=512, width=512, steps=8, scales=3.5, seed=3413):
    with torch.inference_mode(), torch.autocast("cuda", dtype=torch.bfloat16):
        return pipe(
            prompt=[prompt],
            generator=torch.Generator().manual_seed(int(seed)),
            num_inference_steps=int(steps),
            guidance_scale=float(scales),
            height=int(height),
            width=int(width),
            max_sequence_length=256
        ).images[0]
        
# SystemPrompt 부분을 직접 정의
SystemPrompt = """You are 'MOUSE-I', an advanced AI visualization expert. Your mission is to transform every response into a visually stunning and highly informative presentation.

Core Capabilities:
- Transform text responses into rich visual experiences
- Create interactive data visualizations and charts
- Design beautiful and intuitive user interfaces
- Utilize engaging animations and transitions
- Present information in a clear, structured manner

Visual Elements to Include:
- Charts & Graphs (using Chart.js, D3.js)
- Interactive Data Visualizations
- Modern UI Components
- Engaging Animations
- Informative Icons & Emojis
- Color-coded Information Blocks
- Progress Indicators
- Timeline Visualizations
- Statistical Representations
- Comparison Tables

Technical Requirements:
- Modern HTML5/CSS3/JavaScript
- Responsive Design
- Interactive Elements
- Clean Typography
- Professional Color Schemes
- Smooth Animations
- Cross-browser Compatibility

Libraries Available:
- Chart.js for Data Visualization
- D3.js for Complex Graphics
- Bootstrap for Layout
- jQuery for Interactions
- Three.js for 3D Elements

Design Principles:
- Visual Hierarchy
- Clear Information Flow
- Consistent Styling
- Intuitive Navigation
- Engaging User Experience
- Accessibility Compliance

Remember to:
- Present data in the most visually appealing way
- Use appropriate charts for different data types
- Include interactive elements where relevant
- Maintain a professional and modern aesthetic
- Ensure responsive design for all devices

Return only HTML code wrapped in code blocks, focusing on creating visually stunning and informative presentations.
"""

from config import DEMO_LIST

class Role:
    SYSTEM = "system"
    USER = "user"
    ASSISTANT = "assistant"

History = List[Tuple[str, str]]
Messages = List[Dict[str, str]]

# 이미지 캐시를 메모리에 저장
IMAGE_CACHE = {}

# boost_prompt 함수와 handle_boost 함수를 추가합니다
def boost_prompt(prompt: str) -> str:
    if not prompt:
        return ""
    
    # 증강을 위한 시스템 프롬프트
    boost_system_prompt = """
    당신은 웹 개발 프롬프트 전문가입니다. 
    주어진 프롬프트를 분석하여 더 상세하고 전문적인 요구사항으로 확장하되,
    원래 의도와 목적은 그대로 유지하면서 다음 관점들을 고려하여 증강하십시오:
    1. 기술적 구현 상세
    2. UI/UX 디자인 요소
    3. 사용자 경험 최적화
    4. 성능과 보안
    5. 접근성과 호환성
    
    기존 SystemPrompt의 모든 규칙을 준수하면서 증강된 프롬프트를 생성하십시오.
    """
    
    try:
        # Claude API 시도
        try:
            response = claude_client.messages.create(
                model="claude-3-5-sonnet-20241022",
                max_tokens=2000,
                messages=[{
                    "role": "user",
                    "content": f"다음 프롬프트를 분석하고 증강하시오: {prompt}"
                }]
            )
            
            if hasattr(response, 'content') and len(response.content) > 0:
                return response.content[0].text
            raise Exception("Claude API 응답 형식 오류")
            
        except Exception as claude_error:
            print(f"Claude API 에러, OpenAI로 전환: {str(claude_error)}")
            
            # OpenAI API 시도
            completion = openai_client.chat.completions.create(
                model="gpt-4",
                messages=[
                    {"role": "system", "content": boost_system_prompt},
                    {"role": "user", "content": f"다음 프롬프트를 분석하고 증강하시오: {prompt}"}
                ],
                max_tokens=2000,
                temperature=0.7
            )
            
            if completion.choices and len(completion.choices) > 0:
                return completion.choices[0].message.content
            raise Exception("OpenAI API 응답 형식 오류")
            
    except Exception as e:
        print(f"프롬프트 증강 중 오류 발생: {str(e)}")
        return prompt  # 오류 발생시 원본 프롬프트 반환

# Boost 버튼 이벤트 핸들러
def handle_boost(prompt: str):
    try:
        boosted_prompt = boost_prompt(prompt)
        return boosted_prompt, gr.update(active_key="empty")
    except Exception as e:
        print(f"Boost 처리 중 오류: {str(e)}")
        return prompt, gr.update(active_key="empty")
        
def get_image_base64(image_path):
    if image_path in IMAGE_CACHE:
        return IMAGE_CACHE[image_path]
    try:
        with open(image_path, "rb") as image_file:
            encoded_string = base64.b64encode(image_file.read()).decode()
            IMAGE_CACHE[image_path] = encoded_string
            return encoded_string
    except:
        return IMAGE_CACHE.get('default.png', '')
        
def history_to_messages(history: History, system: str) -> Messages:
    messages = [{'role': Role.SYSTEM, 'content': system}]
    for h in history:
        messages.append({'role': Role.USER, 'content': h[0]})
        messages.append({'role': Role.ASSISTANT, 'content': h[1]})
    return messages

def messages_to_history(messages: Messages) -> History:
    assert messages[0]['role'] == Role.SYSTEM
    history = []
    for q, r in zip(messages[1::2], messages[2::2]):
        history.append([q['content'], r['content']])
    return history

# API 클라이언트 초기화
YOUR_ANTHROPIC_TOKEN = os.getenv('ANTHROPIC_API_KEY', '')  # 기본값 추가
YOUR_OPENAI_TOKEN = os.getenv('OPENAI_API_KEY', '')  # 기본값 추가

# API 키 검증
if not YOUR_ANTHROPIC_TOKEN or not YOUR_OPENAI_TOKEN:
    print("Warning: API keys not found in environment variables")

# API 클라이언트 초기화 시 예외 처리 추가
try:
    claude_client = anthropic.Anthropic(api_key=YOUR_ANTHROPIC_TOKEN)
    openai_client = openai.OpenAI(api_key=YOUR_OPENAI_TOKEN)
except Exception as e:
    print(f"Error initializing API clients: {str(e)}")
    claude_client = None
    openai_client = None

# try_claude_api 함수 수정
async def try_claude_api(system_message, claude_messages, timeout=15):
    try:
        start_time = time.time()
        with claude_client.messages.stream(
            model="claude-3-5-sonnet-20241022",
            max_tokens=7860,
            system=system_message,
            messages=claude_messages
        ) as stream:
            collected_content = ""
            for chunk in stream:
                current_time = time.time()
                if current_time - start_time > timeout:
                    print(f"Claude API response time: {current_time - start_time:.2f} seconds")
                    raise TimeoutError("Claude API timeout")
                if chunk.type == "content_block_delta":
                    collected_content += chunk.delta.text
                    yield collected_content
                    await asyncio.sleep(0)
                
                start_time = current_time
                
    except Exception as e:
        print(f"Claude API error: {str(e)}")
        raise e

async def try_openai_api(openai_messages):
    try:
        stream = openai_client.chat.completions.create(
            model="gpt-4o",
            messages=openai_messages,
            stream=True,
            max_tokens=4096,
            temperature=0.7
        )
        
        collected_content = ""
        for chunk in stream:
            if chunk.choices[0].delta.content is not None:
                collected_content += chunk.choices[0].delta.content
                yield collected_content
                
    except Exception as e:
        print(f"OpenAI API error: {str(e)}")
        raise e

class Demo:
    def __init__(self):
        pass

    async def generation_code(self, query: Optional[str], _setting: Dict[str, str]):
        if not query or query.strip() == '':
            query = get_random_placeholder()
        
        # 이미지 생성이 필요한지 확인
        needs_image = '이미지' in query or '그림' in query or 'image' in query.lower()
        image_prompt = None
        
        # 이미지 프롬프트 추출
        if needs_image:
            for keyword in ['이미지:', '그림:', 'image:']:
                if keyword in query.lower():
                    image_prompt = query.split(keyword)[1].strip()
                    break
            if not image_prompt:
                image_prompt = query  # 명시적 프롬프트가 없으면 전체 쿼리 사용
        
        messages = [{'role': Role.SYSTEM, 'content': _setting['system']}]
        messages.append({'role': Role.USER, 'content': query})
        
        system_message = messages[0]['content']
        claude_messages = [{"role": "user", "content": query}]
        openai_messages = [
            {"role": "system", "content": system_message},
            {"role": "user", "content": query}
        ]
        
        try:
            yield [
                "",
                None,
                gr.update(active_key="loading"),
                gr.update(open=True)
            ]
            await asyncio.sleep(0)

            collected_content = None
            try:
                async for content in try_claude_api(system_message, claude_messages):
                    yield [
                        "",
                        None,
                        gr.update(active_key="loading"),
                        gr.update(open=True)
                    ]
                    await asyncio.sleep(0)
                    collected_content = content
                    
            except Exception as claude_error:
                print(f"Falling back to OpenAI API due to Claude error: {str(claude_error)}")
                
                async for content in try_openai_api(openai_messages):
                    yield [
                        "",
                        None,
                        gr.update(active_key="loading"),
                        gr.update(open=True)
                    ]
                    await asyncio.sleep(0)
                    collected_content = content

            if collected_content:
                # 이미지 생성이 필요한 경우
                if needs_image and image_prompt:
                    try:
                        print(f"Generating image for prompt: {image_prompt}")
                        # FLUX 모델을 사용하여 이미지 생성
                        if pipe is not None:
                            image = generate_image(
                                prompt=image_prompt,
                                height=512,
                                width=512,
                                steps=8,
                                scales=3.5,
                                seed=random.randint(1, 10000)
                            )
                            
                            # 이미지를 Base64로 인코딩
                            buffered = BytesIO()
                            image.save(buffered, format="PNG")
                            img_str = base64.b64encode(buffered.getvalue()).decode()
                            
                            # HTML에 이미지 추가
                            image_html = f'''
                            <div class="generated-image" style="margin: 20px 0; text-align: center;">
                                <h3 style="color: #333; margin-bottom: 10px;">Generated Image:</h3>
                                <img src="data:image/png;base64,{img_str}" 
                                     style="max-width: 100%; 
                                            border-radius: 10px; 
                                            box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
                                <p style="color: #666; margin-top: 10px; font-style: italic;">
                                    Prompt: {html.escape(image_prompt)}
                                </p>
                            </div>
                            '''
                            
                            # HTML 응답에 이미지 삽입
                            if '```html' in collected_content:
                                # HTML 코드 블록 내부에 이미지 추가
                                collected_content = collected_content.replace('```html\n', f'```html\n{image_html}')
                            else:
                                # HTML 코드 블록으로 감싸서 이미지 추가
                                collected_content = f'```html\n{image_html}\n```\n{collected_content}'
                            
                            print("Image generation successful")
                        else:
                            raise Exception("FLUX model not initialized")
                            
                    except Exception as e:
                        print(f"Image generation error: {str(e)}")
                        error_message = f'''
                        <div style="color: #ff4d4f; padding: 10px; margin: 10px 0; 
                                    border-left: 4px solid #ff4d4f; background: #fff2f0;">
                            <p>Failed to generate image: {str(e)}</p>
                        </div>
                        '''
                        if '```html' in collected_content:
                            collected_content = collected_content.replace('```html\n', f'```html\n{error_message}')
                        else:
                            collected_content = f'```html\n{error_message}\n```\n{collected_content}'

                # 최종 결과 표시
                yield [
                    collected_content,
                    send_to_sandbox(remove_code_block(collected_content)),
                    gr.update(active_key="render"),
                    gr.update(open=False)
                ]
            else:
                raise ValueError("No content was generated from either API")
                
        except Exception as e:
            print(f"Error details: {str(e)}")
            raise ValueError(f'Error calling APIs: {str(e)}')

    def clear_history(self):
        return []

def remove_code_block(text):
    pattern = r'```html\n(.+?)\n```'
    match = re.search(pattern, text, re.DOTALL)
    if match:
        return match.group(1).strip()
    else:
        return text.strip()

def history_render(history: History):
    return gr.update(open=True), history

def send_to_sandbox(code):
    encoded_html = base64.b64encode(code.encode('utf-8')).decode('utf-8')
    data_uri = f"data:text/html;charset=utf-8;base64,{encoded_html}"
    return f"""
        <iframe 
            src="{data_uri}" 
            style="width:100%; height:800px; border:none;"
            frameborder="0"
        ></iframe>
    """
# 배포 관련 함수 추가
def generate_space_name():
    """6자리 랜덤 영문 이름 생성"""
    letters = string.ascii_lowercase
    return ''.join(random.choice(letters) for i in range(6))

def deploy_to_vercel(code: str):
    try:
        token = "A8IFZmgW2cqA4yUNlLPnci0N"
        if not token:
            return "Vercel 토큰이 설정되지 않았습니다."

        # 6자리 영문 프로젝트 이름 생성
        project_name = ''.join(random.choice(string.ascii_lowercase) for i in range(6))


        # Vercel API 엔드포인트
        deploy_url = "https://api.vercel.com/v13/deployments"

        # 헤더 설정
        headers = {
            "Authorization": f"Bearer {token}",
            "Content-Type": "application/json"
        }

        # package.json 파일 생성
        package_json = {
            "name": project_name,
            "version": "1.0.0",
            "private": True,  # true -> True로 수정
            "dependencies": {
                "vite": "^5.0.0"
            },
            "scripts": {
                "dev": "vite",
                "build": "echo 'No build needed' && mkdir -p dist && cp index.html dist/",
                "preview": "vite preview"
            }
        }

        # 배포할 파일 데이터 구조
        files = [
            {
                "file": "index.html",
                "data": code
            },
            {
                "file": "package.json",
                "data": json.dumps(package_json, indent=2)  # indent 추가로 가독성 향상
            }
        ]

        # 프로젝트 설정
        project_settings = {
            "buildCommand": "npm run build",
            "outputDirectory": "dist",
            "installCommand": "npm install",
            "framework": None
        }

        # 배포 요청 데이터
        deploy_data = {
            "name": project_name,
            "files": files,
            "target": "production",
            "projectSettings": project_settings
        }


        deploy_response = requests.post(deploy_url, headers=headers, json=deploy_data)
        
        if deploy_response.status_code != 200:
            return f"배포 실패: {deploy_response.text}"

        # URL 형식 수정 - 6자리.vercel.app 형태로 반환
        deployment_url = f"{project_name}.vercel.app"
        
        time.sleep(5)

        return f"""배포 완료! <a href="https://{deployment_url}" target="_blank" style="color: #1890ff; text-decoration: underline; cursor: pointer;">https://{deployment_url}</a>"""

    except Exception as e:
        return f"배포 중 오류 발생: {str(e)}"
        
theme = gr.themes.Soft()

def get_random_placeholder():
    return random.choice(DEMO_LIST)['description']

def update_placeholder():
    return gr.update(placeholder=get_random_placeholder())

def create_main_interface():
    """메인 인터페이스 생성 함수"""
    
    def execute_code(query: str):
        if not query or query.strip() == '':
            return None, gr.update(active_key="empty")
        
        try:
            if '```html' in query and '```' in query:
                code = remove_code_block(query)
            else:
                code = query.strip()
            
            return send_to_sandbox(code), gr.update(active_key="render")
        except Exception as e:
            print(f"Error executing code: {str(e)}")
            return None, gr.update(active_key="empty")

    # CSS 파일 내용을 직접 적용
    with open('app.css', 'r', encoding='utf-8') as f:
        custom_css = f.read()

    demo = gr.Blocks(css=custom_css + """

        .empty-content {
            padding: 40px !important;
            background: #f8f9fa !important;
            border-radius: 10px !important;
            margin: 20px !important;
        }    
        
        .container {
            background: #f0f0f0;
            min-height: 100vh;
            padding: 20px;
            display: flex;
            justify-content: center;
            align-items: center;
            font-family: -apple-system, BlinkMacSystemFont, sans-serif;
        }
        
        .app-window {
            background: white;
            border-radius: 10px;
            box-shadow: 0 20px 40px rgba(0,0,0,0.1);
            width: 100%;
            max-width: 1400px;
            overflow: hidden;
        }
        
        .window-header {
            background: #f0f0f0;
            padding: 12px 16px;
            display: flex;
            align-items: center;
            border-bottom: 1px solid #e0e0e0;
        }
        
        .window-controls {
            display: flex;
            gap: 8px;
        }
        
        .control {
            width: 12px;
            height: 12px;
            border-radius: 50%;
            cursor: pointer;
        }
        
        .control.close { background: #ff5f57; }
        .control.minimize { background: #febc2e; }
        .control.maximize { background: #28c840; }
        
        .window-title {
            flex: 1;
            text-align: center;
            color: #333;
            font-size: 14px;
            font-weight: 500;
        }
        
        .main-content {
            display: flex;
            height: calc(100vh - 100px);
        }
        
        .left-panel {
            width: 40%;
            border-right: 1px solid #e0e0e0;
            padding: 20px;
            display: flex;
            flex-direction: column;
        }
        
        .right-panel {
            width: 60%;
            background: #fff;
            position: relative;
        }
        
        .input-area {
            background: #f8f9fa;
            border-radius: 10px;
            padding: 20px;
            margin-top: 20px;
        }
        
        .button-group {
            display: flex;
            gap: 10px;
            margin-top: 20px;
        }
        
        .custom-button {
            background: #007aff;
            color: white;
            border: none;
            padding: 10px 20px;
            border-radius: 6px;
            cursor: pointer;
            transition: all 0.2s;
        }
        
        .custom-button:hover {
            background: #0056b3;
        }
    """, theme=theme)



    with demo:
        with gr.Tabs(elem_classes="main-tabs") as tabs:
            with gr.Tab("Visual AI Assistant", elem_id="mouse-tab", elem_classes="mouse-tab"):
                # SystemPrompt 설정을 위한 State 추가
                setting = gr.State({
                    "system": SystemPrompt,
                })
                
                with ms.Application() as app:
                    with antd.ConfigProvider():

                        with antd.Drawer(open=False, title="AI is Creating...", placement="left", width="750px") as code_drawer:
                            gr.HTML("""
                                <div class="thinking-container">
                                    <style>
                                        .custom-textarea {
                                            background: #f8f9fa !important;
                                            border: 1px solid #e0e0e0 !important;
                                            border-radius: 10px !important;
                                            padding: 15px !important;
                                            min-height: 150px !important;
                                            font-family: -apple-system, BlinkMacSystemFont, sans-serif !important;
                                        }
        
                                        .custom-textarea:focus {
                                            border-color: #007aff !important;
                                            box-shadow: 0 0 0 2px rgba(0,122,255,0.2) !important;
                                        }
        
                                        .thinking-container {
                                            text-align: center;
                                            padding: 20px;
                                            background: #f8f9fa;
                                            border-radius: 15px;
                                            font-family: -apple-system, BlinkMacSystemFont, sans-serif;
                                        }
                                        
                                        .progress-bar {
                                            width: 100%;
                                            height: 4px;
                                            background: #e9ecef;
                                            border-radius: 4px;
                                            margin: 20px 0;
                                            overflow: hidden;
                                        }
                                        
                                        .progress-bar-inner {
                                            width: 30%;
                                            height: 100%;
                                            background: linear-gradient(90deg, #007aff, #28c840);
                                            animation: progress 2s ease-in-out infinite;
                                        }
                                        
                                        .thinking-icon {
                                            font-size: 48px;
                                            margin: 20px 0;
                                            animation: bounce 1s ease infinite;
                                        }
                                        
                                        .tip-box {
                                            background: white;
                                            padding: 20px;
                                            border-radius: 10px;
                                            box-shadow: 0 4px 12px rgba(0,0,0,0.1);
                                            margin: 20px 0;
                                            transition: all 0.3s ease;
                                        }
                                        
                                        .status-text {
                                            color: #007aff;
                                            font-size: 18px;
                                            margin: 15px 0;
                                            animation: fade 1.5s ease infinite;
                                        }
                                        
                                        .icon-grid {
                                            display: grid;
                                            grid-template-columns: repeat(4, 1fr);
                                            gap: 15px;
                                            margin: 20px 0;
                                        }
                                        
                                        .icon-item {
                                            padding: 10px;
                                            background: rgba(0,122,255,0.1);
                                            border-radius: 8px;
                                            animation: pulse 2s ease infinite;
                                        }
                                        
                                        @keyframes progress {
                                            0% { transform: translateX(-100%); }
                                            100% { transform: translateX(400%); }
                                        }
                                        
                                        @keyframes bounce {
                                            0%, 100% { transform: translateY(0); }
                                            50% { transform: translateY(-10px); }
                                        }
                                        
                                        @keyframes fade {
                                            0%, 100% { opacity: 1; }
                                            50% { opacity: 0.6; }
                                        }
                                        
                                        @keyframes pulse {
                                            0% { transform: scale(1); }
                                            50% { transform: scale(1.05); }
                                            100% { transform: scale(1); }
                                        }
                                    </style>
                                    
                                    <div class="thinking-icon">🎨</div>
                                    <div class="status-text">Creating Your Visualization...</div>
                                    <div class="progress-bar">
                                        <div class="progress-bar-inner"></div>
                                    </div>
                                    <div class="icon-grid">
                                        <div class="icon-item">📊</div>
                                        <div class="icon-item">🎯</div>
                                        <div class="icon-item">💡</div>
                                        <div class="icon-item">✨</div>
                                    </div>
                                    <div class="tip-box">
                                        <h3 style="color: #007aff; margin-bottom: 10px;">Did You Know?</h3>
                                        <div id="tip-content" style="font-size: 16px; line-height: 1.6;"></div>
                                    </div>
                                    
                                    <script>
                                        const tips = [
                                            "MOUSE-I is creating responsive and interactive visualizations! 📊",
                                            "We're applying modern design principles for the best user experience! 🎨",
                                            "Your content will be optimized for all devices! 📱",
                                            "Adding engaging animations to bring your data to life! ✨",
                                            "Crafting a beautiful presentation just for you! 🎯",
                                            "Implementing interactive elements for better engagement! 🎮",
                                            "Optimizing colors and layout for visual appeal! 🎪",
                                            "Creating smooth transitions and animations! 🌟"
                                        ];
                                        
                                        function updateTip() {
                                            const tipElement = document.getElementById('tip-content');
                                            if (tipElement) {
                                                const randomTip = tips[Math.floor(Math.random() * tips.length)];
                                                tipElement.innerHTML = randomTip;
                                                tipElement.style.opacity = 0;
                                                setTimeout(() => {
                                                    tipElement.style.transition = 'opacity 0.5s ease';
                                                    tipElement.style.opacity = 1;
                                                }, 100);
                                            }
                                        }
                                        
                                        updateTip();
                                        setInterval(updateTip, 3000);
                                    </script>
                                </div>
                            """)
                            code_output = legacy.Markdown(visible=False)


# 메인 컨텐츠를 위한 Row
                        with antd.Row(gutter=[32, 12]) as layout:    
                            # 좌측 패널
                            with antd.Col(span=24, md=8):
                                with antd.Flex(vertical=True, gap="middle", wrap=True):
                                    # macOS 스타일 윈도우 헤더
                                    header = gr.HTML("""
                                        <div class="window-frame">
                                            <div class="window-header">
                                                <div class="window-controls">
                                                    <div class="control close"></div>
                                                    <div class="control minimize"></div>
                                                    <div class="control maximize"></div>
                                                </div>
                                                <div class="window-title">
                                                    <div class="window-address">
                                                        <div class="secure-icon">🔒</div>
                                                        <div class="url-bar">https://VIDraft-mouse-chat.hf.space</div>
                                                    </div>
                                                </div>
                                            </div>
                                            <div class="app-content">
                                                <img src="data:image/gif;base64,{}" width="360px" />
                                                <h1 class="app-title">MOUSE-Chat Visual AI</h1>
                                                <p class="app-description">Creates visualized web pages from text input, and when you include keywords like "image:", "그림:", or "image:" in your input, it automatically generates AI images based on the description and incorporates them into the web page.
Use the "Generate" button for basic creation, "Enhance" button for prompt improvement, "Share" button to deploy results to the web, and input like "image: a dog playing in the park" to create results containing both text and generated images.</p>
                                            </div>
                                        </div>
                                    """.format(get_image_base64('mouse.gif')))

                                    # 입력 영역
                                    input = antd.InputTextarea(
                                        size="large", 
                                        allow_clear=True,
                                        placeholder=get_random_placeholder(),
                                        elem_classes="custom-textarea"  # style 대신 class 사용

                                    )
 
                                    # 버튼 그룹
                                    with antd.Flex(gap="small", justify="flex-start"):
                                        btn = antd.Button(
                                            "Generate", 
                                            type="primary", 
                                            size="large",
                                            elem_classes="generate-btn"
                                        )
                                        boost_btn = antd.Button(
                                            "Enhance", 
                                            type="default", 
                                            size="large",
                                            elem_classes="enhance-btn"
                                        )
                                        deploy_btn = antd.Button(
                                            "Share", 
                                            type="default", 
                                            size="large",
                                            elem_classes="share-btn"
                                        )


                                    deploy_result = gr.HTML(
                                        label="Share Result",
                                        elem_classes="deploy-result"
                                    )

                            # 우측 패널
                            with antd.Col(span=24, md=16):
                                with ms.Div(elem_classes="right_panel"):
                                    # macOS 스타일 윈도우 헤더
                                    gr.HTML("""
                                        <div class="window-frame">
                                            <div class="window-header">
                                                <div class="window-controls">
                                                    <div class="control close"></div>
                                                    <div class="control minimize"></div>
                                                    <div class="control maximize"></div>
                                                </div>
                                                <div class="window-title">Preview</div>
                                            </div>
                                        </div>
                                    """)

                                    # 탭 컨텐츠
                                    with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab:
                                        with antd.Tabs.Item(key="empty"):
                                            empty = antd.Empty(
                                                description="Enter your question to begin",

                                                elem_classes="right_content empty-content"  # style 대신 class 사용

                                            )
                                        
                                        with antd.Tabs.Item(key="loading"):
                                            loading = antd.Spin(
                                                True,
                                                tip="Creating visual presentation...",
                                                size="large",
                                                elem_classes="right_content"
                                            )
                                        
                                        with antd.Tabs.Item(key="render"):
                                            sandbox = gr.HTML(elem_classes="html_content")
                            

                        btn.click(
                            demo_instance.generation_code,
                            inputs=[input, setting],  # setting이 이제 정의됨
                            outputs=[code_output, sandbox, state_tab, code_drawer]
                        ).then(
                            fn=update_placeholder,
                            inputs=[],
                            outputs=[input]
                        )


                        boost_btn.click(
                            fn=handle_boost,
                            inputs=[input],
                            outputs=[input, state_tab]
                        )

                        deploy_btn.click(
                            fn=lambda code: deploy_to_vercel(remove_code_block(code)) if code else "No code to share.",
                            inputs=[code_output],
                            outputs=[deploy_result]
                        )

    gr.HTML("""
        <style>
            .generate-btn {
                background: #007aff !important;
                border-radius: 8px !important;
                box-shadow: 0 2px 4px rgba(0,0,0,0.1) !important;
            }
            
            .enhance-btn {
                border-radius: 8px !important;
                border: 1px solid #007aff !important;
                color: #007aff !important;
            }
            
            .share-btn {
                border-radius: 8px !important;
                border: 1px solid #28c840 !important;
                color: #28c840 !important;
            }
            
            /* hover 효과 */
            .generate-btn:hover {
                background: #0056b3 !important;
            }
            
            .enhance-btn:hover {
                background: rgba(0,122,255,0.1) !important;
            }
        
            .share-btn:hover {
                background: rgba(40,200,64,0.1) !important;
            }

            .app-content {
                padding: 20px;
                text-align: center;
            }
            
            .app-title {
                font-size: 24px;
                color: #333;
                margin: 20px 0 10px;
                font-weight: 600;
            }
            
            .app-description {
                color: #666;
                font-size: 14px;
                margin-bottom: 30px;
            }
            
            .deploy-result {
                margin-top: 20px;
                padding: 15px;
                background: #f8f9fa;
                border-radius: 8px;
                font-family: -apple-system, BlinkMacSystemFont, sans-serif;
            }
            
            .deploy-result a {
                color: #007aff;
                text-decoration: none;
                font-weight: 500;
            }
            
            .deploy-result a:hover {
                text-decoration: underline;
            }
            
            /* 반응형 디자인을 위한 미디어 쿼리 */
            @media (max-width: 768px) {
                .window-frame {
                    border-radius: 0;
                }
                
                .left-panel, .right-panel {
                    width: 100%;
                }
                
                .main-content {
                    flex-direction: column;
                }
            }
        </style>
    """)

    return demo

# 메인 실행 부분
if __name__ == "__main__":
    try:
        demo_instance = Demo()  # Demo 인스턴스 생성
        demo = create_main_interface()  # 인터페이스 생성
        demo.queue(
            default_concurrency_limit=20,  # concurrency_count 대신 default_concurrency_limit 사용
            status_update_rate=10,
            api_open=False
        ).launch(
            server_name="0.0.0.0",
            server_port=7860,
            share=False,
            debug=False
        )
    except Exception as e:
        print(f"Initialization error: {e}")
        raise