semvec/pypi-packages huggingface dataset:
myla 0.2.40
A local implementation of OpenAI Assistants API: Myla stands for MY Local Assistant
License: MIT
Requires Python: >=3.9
Keywords: AI assistant, LLM, Myla, chatbot

[English](README.md) | [简体中文](README_zh_CN.md)

# Myla: MY Local Assistants

## Self-hosting AI Assistants compatible with OpenAI

Myla stands for MY Local Assistants and is designed and optimized for deploying AI assistants based on large language models (LLMs) in a private environment. Myla provides an API compatible with the **OpenAI assistants API**, with support for multiple LLM backends. Whether on a laptop or a production server, you can quickly develop and run AI assistants.

## Key Features:

* Support for OpenAI API and compatible LLM services
* Assistant API compatible with OpenAI
* Vector retrieval (FAISS/LanceDB)
* sentence_transformers
* WebUI
* Tool extensions
* Document Q&A (in progress)

## Quick Start
### Installation

Python version requirement: >= 3.9

Myla can be installed from PyPI using `pip`. It is recommended to create a new virtual environment before installation to avoid conflicts.

```bash
pip install myla
```

If you need Retrieval, please install all dependencies:
```bash
pip install "myla[all]"
```

### Configuration

Myla supports using an OpenAI API-compatible LLM service as the backend. You can use the OpenAI API directly or deploy your own local LLM. If you want to deploy a local LLM, it is recommended to use [Xorbits Inference](https://github.com/xorbitsai/inference).

Create a `.env` file in the current directory with the following content:

```
# LLM configuration
LLM_ENDPOINT=https://api.openai.com/v1/
LLM_API_KEY=sk-xx
DEFAULT_LLM_MODEL_NAME=gpt-3.5-turbo
```

More configurations can be found in: [env-example.txt](env-example.txt)

#### ChatGLM as backend for your MacBook

Myla supports running ChatGLM locally using `chatglm.cpp` as the backend. To install the Python Binding, refer to: https://github.com/li-plus/chatglm.cpp#python-binding 

`.env` configuration example:

```
DEFAULT_LLM_MODEL_NAME=chatglm@/Users/shellc/Workspaces/chatglm.cpp/chatglm-ggml.bin
```

### Start

```bash
myla
```

or

```bash
python -m myla
```

For more startup options:
```bash
myla --help
```

### WebUI

Myla provides a simple web interface that makes it easy to develop and debug assistants.

Access from your browser: http://localhost:2000/

![Screenshot](myla/webui/static/images/screenshot.png)

### API

You can directly use the OpenAI python SDK to access the assistants API.

* API Docs: http://localhost:2000/api/docs
* Swagger: http://localhost:2000/api/swagger


## Community

Myla is still under rapid development, and community contributions are welcome.
pyminitab 0.6.0
Emulating minitab type plots for engineering projects
License: MIT
Requires Python: >=3.9

Emulating minitab plots

Yes, the code was helped a lot with ChatGPT. Thanks!

## Demo chart

![demo image](doc/demo.png)

## Usage

```python
import pyminitab as pym
pym.hist(
    data: np.ndarray, LSL: float = None, USL: float = None, title: str = "", nbins=None
)
```