app.py

import os
import re
import random
from http import HTTPStatus
from typing import Dict, List, Optional, Tuple
import base64
import anthropic
from functools import partial

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
from config import DEMO_LIST, SystemPrompt

def get_image_base64(image_path):
    with open(image_path, "rb") as image_file:
        encoded_string = base64.b64encode(image_file.read()).decode()
    return encoded_string
    
YOUR_API_TOKEN = os.getenv('ANTHROPIC_API_KEY')
client = anthropic.Anthropic(api_key=YOUR_API_TOKEN)

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

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

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

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 clear_history():
    return []

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}\" width=\"100%\" height=\"920px\"></iframe>"

with gr.Blocks(css_paths="app.css") as demo:
    history = gr.State([])
    setting = gr.State({
        "system": SystemPrompt,
    })

    def generation_code(query: Optional[str], _setting: Dict[str, str], _history: Optional[History]):
        if not query or query.strip() == '':
            query = random.choice(DEMO_LIST)['description']  # 빈 쿼리일 경우 랜덤 예제 사용
        
        if _history is None:
            _history = []
        
        messages = history_to_messages(_history, _setting['system'])
        system_message = messages[0]['content']
        
        claude_messages = [
            {"role": msg["role"] if msg["role"] != "system" else "user", "content": msg["content"]} 
            for msg in messages[1:] + [{'role': Role.USER, 'content': query}]
            if msg["content"].strip() != ''  # 빈 메시지 필터링
        ]
        
        try:
            yield [
                "Generating code...",
                _history,
                None,
                gr.update(active_key="loading"),
                gr.update(open=True)
            ]
    
            with client.messages.stream(
                model="claude-3-5-sonnet-20241022",
                max_tokens=7800,
                system=system_message,
                messages=claude_messages
            ) as stream:
                collected_content = ""
                for chunk in stream:
                    if chunk.type == "content_block_delta":
                        delta = chunk.delta.text
                        collected_content += delta
                        
                        yield [
                            collected_content,
                            _history,
                            None,
                            gr.update(active_key="loading"),
                            gr.update(open=True)
                        ]
            
                _history = messages_to_history([
                    {'role': Role.SYSTEM, 'content': system_message}
                ] + claude_messages + [{
                    'role': Role.ASSISTANT,
                'content': collected_content
                }])
            
                yield [
                    collected_content,
                    _history,
                    send_to_sandbox(remove_code_block(collected_content)),
                    gr.update(active_key="render"),
                    gr.update(open=True)
                ]
        
        except Exception as e:
            print(f"Error details: {str(e)}")  # 디버깅을 위한 에러 출력
            raise ValueError(f'Error calling Claude API: {str(e)}')
    
   

    with ms.Application() as app:
        with antd.ConfigProvider():
            with antd.Row(gutter=[32, 12]) as layout:

# 좌측 패널 부분 수정
                with antd.Col(span=24, md=8):
                    with antd.Flex(vertical=True, gap="middle", wrap=True):
                        header = gr.HTML(f"""
                                    <div class="left_header">
                                     <img src="data:image/gif;base64,{get_image_base64('mouse.gif')}" width="360px" />
                                     <h1 style="font-size: 20px;">AI 코딩 코파일럿: MOUSE(WEB)</h2>
                                    </div>
                                     """)
                        input = antd.InputTextarea(
                            size="large", 
                            allow_clear=True, 
                            placeholder=random.choice(DEMO_LIST)['description']
                        )

                        btn = antd.Button("send", type="primary", size="large")
                        clear_btn = antd.Button("clear history", type="default", size="large")

        # Examples 버튼 추가
                        antd.Divider("Try this example")
                        example_btn = antd.Button(
                            "다이나믹 차트 대쉬보드", 
                            type="default",
                            block=True,  # 전체 너비 사용
                            size="large"
                        )
                        example_btn.click(
                            fn=lambda: "Create an interactive dashboard with Chart.js showing different types of charts (line, bar, pie) with smooth animations. Include buttons to switch between different data views.",
                            inputs=[],
                            outputs=[input]
                        )


                    with antd.Modal(open=False, title="set system Prompt", width="800px") as system_prompt_modal:
                        systemPromptInput = antd.InputTextarea(
                            SystemPrompt, auto_size=True)

                    with antd.Drawer(open=False, title="code", placement="left", width="750px") as code_drawer:
                        code_output = legacy.Markdown()

                    with antd.Drawer(open=False, title="history", placement="left", width="900px") as history_drawer:
                        history_output = legacy.Chatbot(show_label=False, flushing=False, height=960, elem_classes="history_chatbot")

                with antd.Col(span=24, md=16):
                    with ms.Div(elem_classes="right_panel"):
                        with antd.Flex(gap="small", elem_classes="setting-buttons"):
                            settingPromptBtn = antd.Button(
                                "⚙️ set system Prompt", type="default")
                            codeBtn = antd.Button("🧑‍💻 view code", type="default")
                            historyBtn = antd.Button("📜 history", type="default")
                            
                        gr.HTML('<div class="render_header"><span class="header_btn"></span><span class="header_btn"></span><span class="header_btn"></span></div>')
                        with antd.Tabs(active_key="empty", render_tab_bar="() => null") as state_tab:
                            with antd.Tabs.Item(key="empty"):
                                empty = antd.Empty(description="empty input", elem_classes="right_content")
                            with antd.Tabs.Item(key="loading"):
                                loading = antd.Spin(True, tip="coding...", size="large", elem_classes="right_content")
                            with antd.Tabs.Item(key="render"):
                                sandbox = gr.HTML(elem_classes="html_content")

            settingPromptBtn.click(lambda: gr.update(
                open=True), inputs=[], outputs=[system_prompt_modal])
            system_prompt_modal.ok(lambda input: ({"system": input}, gr.update(
                open=False)), inputs=[systemPromptInput], outputs=[setting, system_prompt_modal])
            system_prompt_modal.cancel(lambda: gr.update(
                open=False), outputs=[system_prompt_modal])

            codeBtn.click(lambda: gr.update(open=True),
                          inputs=[], outputs=[code_drawer])
            code_drawer.close(lambda: gr.update(
                open=False), inputs=[], outputs=[code_drawer])

            historyBtn.click(history_render, inputs=[history], outputs=[history_drawer, history_output])
            history_drawer.close(lambda: gr.update(
                open=False), inputs=[], outputs=[history_drawer])

            btn.click(
                generation_code,
                inputs=[input, setting, history],
                outputs=[code_output, history, sandbox, state_tab, code_drawer]
            )
            
            clear_btn.click(clear_history, inputs=[], outputs=[history])

if __name__ == "__main__":
    demo.queue(default_concurrency_limit=20).launch(ssr_mode=False)