# music_store_assistant_langGraph

**Repository Path**: amos49/music_store_assistant_langGraph

## Basic Information

- **Project Name**: music_store_assistant_langGraph
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-08-12
- **Last Updated**: 2025-08-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Chainlit Langgraph integration : a Music store assistant 

## Summary


Welcome to myMusicStore, this is a demo of the usage of tool calling with :

langgraph 
langchain tools
llm
postgresql
chainlit

## Installation

### Python requirements

In your Python 3.12 virtual env, install all deps by running:

```
pip install --upgrade pip
pip install poetry
poetry install
```

or
```
uv venv --python=3.12
source .venv/bin/activate
uv pip install -r requirements.txt  -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple


curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py
pip install spacy
python -m spacy download en_core_web_md

pip install --upgrade langchain langchain-openai

```


### LLM models used

This demo uses remote llm with provided examples for open ai azure instance chat gpt and gemini.

See the .env.example to provide required API KEYS 

For local LLM, at this point no model was able to use propperly langchain tools

### db

https://github.com/lerocha/chinook-database/blob/master/ChinookDatabase/DataSources/Chinook_Sqlite.sqlite

```bash
python app.py
```

## Usage

```bash
chainlit run app.py --port 8000
```

## Author


invoice_line_tools.py
album_tools.py
artist_tools.py
country_tools.py
employee_tools.py
invoice_tools.py
media_type_tools.py
playlist_tools.py
track_tools.py
policy.py
policy.md
genre_tools.py