프로젝트 구조 평탄화 및 불필요한 파일 정리

- 폴더 구조 제거하고 모든 Python 파일을 최상위로 이동
- basic_chatbot/workflow.py → basic_chatbot_workflow.py
- ml_pipeline/workflow.py → ml_pipeline_workflow.py
- basic_chatbot/, ml_pipeline/ 폴더 삭제
- tab.py 파일들 삭제 (app.py에서 직접 구현)
- requirements.txt 삭제 (pyproject.toml 사용)
- README 업데이트

더 간단하고 명확한 프로젝트 구조

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -80,12 +80,11 @@ To deploy on HuggingFace Spaces, set these secrets:
 ## Project Structure
 
 - `app.py` - Main application with tabbed interface
-- `tab_basic_chatbot.py` - Basic chatbot with research and math agents
-- `tab_ml_pipeline.py` - ML pipeline automation chatbot
-- `basic_workflow.py` - Basic LangGraph supervisor workflow with research and math agents
-- `ml_workflow.py` - ML pipeline supervisor workflow with 4 specialized agents
+- `basic_chatbot_workflow.py` - Basic chatbot supervisor workflow with research and math agents
+- `ml_pipeline_workflow.py` - ML pipeline supervisor workflow with 4 specialized agents
 - `pyproject.toml` - Project dependencies managed by uv
 - `.env` - Environment variables (not tracked in git)
+- `.env.example` - Environment variables template
 
 ## Technologies
 

app.py

@@ -2,8 +2,8 @@ import gradio as gr
 from gradio import ChatMessage
 from langchain_core.messages import BaseMessage, HumanMessage
 import time
-from basic_chatbot.workflow import app as basic_chatbot_workflow
-from ml_pipeline.workflow import ml_app as ml_pipeline_workflow
+from basic_chatbot_workflow import app as basic_chatbot_workflow
+from ml_pipeline_workflow import ml_app as ml_pipeline_workflow
 
 
 def format_namespace(namespace):