semvec/pypi-packages huggingface dataset:
fire-chat 0.1.0.dev229379
A CLI tool to chat with LLM models including GPT and Claude.
Requires Python: >=3.10
Keywords: LLM, anthropic, chatGPT, claude, cli, openai

# fire-chat

## Overview

This project provides a command-line interface (CLI) for interacting with various large language models (LLMs) using the
LiteLLM wrapper. It supports multiple providers, including OpenAI, Anthropic, Azure, and Gemini. The CLI allows users to
chat with these models, manage budgets, and handle API keys efficiently.

## Configuration

The configuration is managed through a `$HOME/.config/fire-chat/config.yaml` file. The first time you run the CLI run.
You can copy paste the starting config file [config.yaml](examples/config.yaml) to the location, adds your API key,
and quick start the application `fire-chat`.

## Installation and Usage

1. **Install the CLI**:

    ```shell
    pip install --user fire-chat # requires python 3.10+
    ```

2. **Configure the CLI**:

   Edit the `$HOME/.config/fire-chat/config.yaml` file to set your preferred provider, model, and other settings.

3. **Run the CLI**:

    ```shell
    fire-chat
    ```

   or run with arguments (overriding config yaml file)

    ```shell
    fire-chat --model=gpt-4o
    ```

   for full list of configs, see [main.py](src/fire_chat/main.py).

4. **Exit**:
   To exit the CLI, `Ctrl+C`.
zyjared-color 0.5.9
Personal font color utility library for Python
Requires Python: <4.0,>=3.12

# zyjared-color

## 安装

```sh
pip install zyjared-color
```

## 使用

```py
from zyjared_color import color, blue, red

# 基本使用
content = color('Hello World!').red() + ' - test'
print(content.bold()) # content 可以继续调用

# 自由转换
text = f'{color("Hello World!").blue():<15} - test'
content = color(text).yellow()
print(content)

# 使用别名
print(blue('Hello World!'))
print(red('Hello World!').bold())
```

### 拓展

#### `zprint`

需要使用 `print` 打印列表或者字典时可以使用。

```py
from zyjared_color import zprint

zprint([
    'Hello',
    'World!',
])

zprint({
    '1': 'Hello World!',
    '2': ['Hello World!'],
    '3': {
        '3-1!': 'Hello World!'
    }
})
```

## HTML / CSS

```python
from zyjared_color.html import ColorHtml, StaticColorHtml
from zyjared_color.html import blue, red, bold, italic, underline, through

text = ColorHtml('Hello World!').red().bold()
print(text)

# custom styles
text = ColorHtml("Hello World!", {"opacity": 0.5, "font-weight": "bold"})
print(text)
```

**example:** Display `ColorHtml` in Jupyter Notebook

```python
from zyjared_color.html import ColorHtml as Color, StaticColorHtml as StaticColor
from zyjared_color.html import blue, red, bold, italic, underline, through
from IPython.display import display, HTML

text = Color('Hello World!').red().bold()

# f'{text}' or str(text)
display(HTML(f'{text}'))
```
cumulus-library-suicidality-icd10 1.0.0
Validation of ICD-10 code usage of Suicidality Cases Compared to Patient Chart Review
Requires Python: >=3.11

# How reliable are ICD-10 diagnosis codes to identify cases of pediatric suicidality?

This study repository includes:

* **Suicidality ICD10 case definition** (SQL) 
* **Supplement**   
  1. Suicidality ICD10 Case Definition (XLS/TSV)
  2. Propensity Score Matching (Word/PDF)
  3. Suicidality Chart Review Guidelines (Word/PDF)
  4. Additional Statistical Measures (Word/PDF)
  
## Usage

To install the module, run `pip install cumulus-library-suicidality-icd10`.

This will add a `cumulus-library-suicidality-icd10` study target to `cumulus-library`.

This study is built using SMART Cumulus:  
* [Cumulus Library](https://docs.smarthealthit.org/cumulus/library) for data processing
* [Chart Review](https://docs.smarthealthit.org/cumulus/chart-review/) packages for subject matter experts to label "ground truth"
* [Propensity Score Matching](https://docs.smarthealthit.org/cumulus/library/statistics/propensity-score-matching.html) (PSM) to select "case matched comparators"

## Publication

__Accuracy of ICD-10 codes for suicidal ideation and action in pediatric emergency department encounters__
Rena Xu, Louisa Bode, Alon Geva, Kenneth D. Mandl, Andrew J. McMurry. Pediatrics. 2024. 
https://doi.org/10.1101/2024.07.23.24310777