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Update app.py
Browse files
app.py
CHANGED
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@@ -5,6 +5,9 @@ from http import HTTPStatus
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from typing import Dict, List, Optional, Tuple
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import base64
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import anthropic
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from functools import partial
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import gradio as gr
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@@ -54,8 +57,141 @@ def get_image_base64(image_path):
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encoded_string = base64.b64encode(image_file.read()).decode()
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return encoded_string
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class Role:
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SYSTEM = "system"
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@@ -108,69 +244,7 @@ with gr.Blocks(css_paths="app.css",theme=theme) as demo:
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"system": SystemPrompt,
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})
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if not query or query.strip() == '':
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query = random.choice(DEMO_LIST)['description'] # 빈 쿼리일 경우 랜덤 예제 사용
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if _history is None:
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_history = []
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messages = history_to_messages(_history, _setting['system'])
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system_message = messages[0]['content']
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claude_messages = [
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{"role": msg["role"] if msg["role"] != "system" else "user", "content": msg["content"]}
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for msg in messages[1:] + [{'role': Role.USER, 'content': query}]
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if msg["content"].strip() != '' # 빈 메시지 필터링
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]
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try:
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yield [
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"Generating code...",
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_history,
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None,
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gr.update(active_key="loading"),
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gr.update(open=True)
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]
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with client.messages.stream(
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model="claude-3-5-sonnet-20241022",
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max_tokens=7800,
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system=system_message,
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messages=claude_messages
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) as stream:
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collected_content = ""
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for chunk in stream:
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if chunk.type == "content_block_delta":
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delta = chunk.delta.text
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collected_content += delta
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yield [
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collected_content,
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_history,
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None,
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gr.update(active_key="loading"),
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gr.update(open=True)
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]
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_history = messages_to_history([
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{'role': Role.SYSTEM, 'content': system_message}
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] + claude_messages + [{
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'role': Role.ASSISTANT,
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'content': collected_content
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}])
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yield [
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collected_content,
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_history,
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send_to_sandbox(remove_code_block(collected_content)),
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gr.update(active_key="render"),
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gr.update(open=True)
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]
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except Exception as e:
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print(f"Error details: {str(e)}") # 디버깅을 위한 에러 출력
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raise ValueError(f'Error calling Claude API: {str(e)}')
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with ms.Application() as app:
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with antd.ConfigProvider():
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@@ -361,11 +435,13 @@ with gr.Blocks(css_paths="app.css",theme=theme) as demo:
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open=False), inputs=[], outputs=[history_drawer])
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btn.click(
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generation_code,
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inputs=[input, setting, history],
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outputs=[code_output, history, sandbox, state_tab, code_drawer]
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)
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clear_btn.click(clear_history, inputs=[], outputs=[history])
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if __name__ == "__main__":
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from typing import Dict, List, Optional, Tuple
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import base64
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import anthropic
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import openai
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import asyncio
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import time
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from functools import partial
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import gradio as gr
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encoded_string = base64.b64encode(image_file.read()).decode()
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return encoded_string
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# API 클라이언트 초기화
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YOUR_ANTHROPIC_TOKEN = os.getenv('ANTHROPIC_API_KEY')
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YOUR_OPENAI_TOKEN = os.getenv('OPENAI_API_KEY')
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claude_client = anthropic.Anthropic(api_key=YOUR_ANTHROPIC_TOKEN)
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openai_client = openai.OpenAI(api_key=YOUR_OPENAI_TOKEN)
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async def try_claude_api(system_message, claude_messages, timeout=5):
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try:
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start_time = time.time()
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with claude_client.messages.stream(
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model="claude-3-5-sonnet-20241022",
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max_tokens=7800,
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system=system_message,
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messages=claude_messages
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) as stream:
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collected_content = ""
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for chunk in stream:
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if time.time() - start_time > timeout:
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raise TimeoutError("Claude API timeout")
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if chunk.type == "content_block_delta":
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collected_content += chunk.delta.text
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yield collected_content
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except Exception as e:
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print(f"Claude API error: {str(e)}")
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raise e
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async def try_openai_api(openai_messages):
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try:
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stream = openai_client.chat.completions.create(
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model="gpt-4o",
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messages=openai_messages,
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stream=True,
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max_tokens=4096,
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temperature=0.7
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)
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collected_content = ""
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for chunk in stream:
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if chunk.choices[0].delta.content is not None:
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collected_content += chunk.choices[0].delta.content
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yield collected_content
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except Exception as e:
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print(f"OpenAI API error: {str(e)}")
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raise e
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async def generation_code(query: Optional[str], _setting: Dict[str, str], _history: Optional[History]):
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if not query or query.strip() == '':
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query = random.choice(DEMO_LIST)['description']
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if _history is None:
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_history = []
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messages = history_to_messages(_history, _setting['system'])
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system_message = messages[0]['content']
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# Claude 메시지 포맷
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claude_messages = [
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{"role": msg["role"] if msg["role"] != "system" else "user", "content": msg["content"]}
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for msg in messages[1:] + [{'role': Role.USER, 'content': query}]
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if msg["content"].strip() != ''
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]
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# OpenAI 메시지 포맷
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openai_messages = [{"role": "system", "content": system_message}]
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for msg in messages[1:]:
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openai_messages.append({
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"role": msg["role"],
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"content": msg["content"]
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})
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openai_messages.append({"role": "user", "content": query})
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try:
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yield [
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"Generating code...",
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_history,
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None,
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gr.update(active_key="loading"),
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gr.update(open=True)
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]
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collected_content = None
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# Claude API 시도
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try:
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async for content in try_claude_api(system_message, claude_messages):
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yield [
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content,
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_history,
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None,
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gr.update(active_key="loading"),
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gr.update(open=True)
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]
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collected_content = content
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except Exception as claude_error:
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print(f"Falling back to OpenAI API due to Claude error: {str(claude_error)}")
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# OpenAI API로 폴백
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async for content in try_openai_api(openai_messages):
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yield [
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content,
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_history,
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None,
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gr.update(active_key="loading"),
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gr.update(open=True)
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]
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collected_content = content
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if collected_content:
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_history = messages_to_history([
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{'role': Role.SYSTEM, 'content': system_message}
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] + claude_messages + [{
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'role': Role.ASSISTANT,
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'content': collected_content
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}])
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yield [
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collected_content,
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_history,
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send_to_sandbox(remove_code_block(collected_content)),
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gr.update(active_key="render"),
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gr.update(open=True)
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]
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else:
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raise ValueError("No content was generated from either API")
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except Exception as e:
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print(f"Error details: {str(e)}")
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raise ValueError(f'Error calling APIs: {str(e)}')
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class Role:
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SYSTEM = "system"
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"system": SystemPrompt,
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})
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with ms.Application() as app:
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with antd.ConfigProvider():
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open=False), inputs=[], outputs=[history_drawer])
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btn.click(
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lambda: asyncio.create_task(generation_code(input.value, setting.value, history.value)),
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inputs=[input, setting, history],
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outputs=[code_output, history, sandbox, state_tab, code_drawer]
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)
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clear_btn.click(clear_history, inputs=[], outputs=[history])
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if __name__ == "__main__":
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