---
title: Langgraph Ui
emoji: 🚀
colorFrom: yellow
colorTo: yellow
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
---

# LangGraph UI

A Gradio-based chat interface for LangGraph supervisor workflow with nested agent visualization and ML pipeline automation.

## Features
- 📊 Data extraction from RDB tables using SQL
- 🔤 Language model pretraining with tokenization
- 🎯 Classification model finetuning
- 📈 Comprehensive model evaluation (Precision, Recall, F1-score, Accuracy)
- 🤝 4 specialized agents coordinated by supervisor
- 🇰🇷 Korean language support

## Setup

### Local Development

1. Install dependencies:
```bash
uv sync
```

2. Set up environment variables:
Create a `.env` file in the root directory (or copy from `.env.example`):
```bash
# Required
OPENAI_API_KEY=your-openai-api-key-here

# Optional: LangSmith Observability
LANGCHAIN_TRACING_V2=true
LANGCHAIN_API_KEY=your-langsmith-api-key-here
LANGCHAIN_PROJECT=langgraph-ui
```

To get a LangSmith API key:
- Sign up at [LangSmith](https://smith.langchain.com/)
- Create an API key in your settings
- LangSmith provides observability for all agent executions, traces, and performance metrics

3. Run the application:
```bash
uv run python app.py
```

The application will start on `http://localhost:7860`

### HuggingFace Spaces Deployment

To deploy on HuggingFace Spaces, set these secrets:

1. Go to your Space settings
2. Navigate to "Repository secrets"
3. Add required secret:
   - Name: `OPENAI_API_KEY`
   - Value: your OpenAI API key
4. (Optional) Add LangSmith secrets for observability:
   - `LANGCHAIN_TRACING_V2=true`
   - `LANGCHAIN_API_KEY=your-langsmith-api-key`
   - `LANGCHAIN_PROJECT=langgraph-ui`

## Project Structure

- `app.py` - Main Gradio application
- `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

- [Gradio](https://gradio.app/) - Web UI framework
- [LangGraph](https://langchain-ai.github.io/langgraph/) - Agent orchestration
- [LangChain](https://langchain.com/) - LLM framework
- [OpenAI](https://openai.com/) - LLM provider
- [LangSmith](https://smith.langchain.com/) - Observability and monitoring (optional)
- [uv](https://github.com/astral-sh/uv) - Python package manager

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference