semvec/pypi-packages huggingface dataset:
huefy 1.3.0
Terminal color utility
Requires Python: >=3.6

## Configuration

### themes.d Directory

The `themes.d` directory serves as the repository for your theme files. By default, the Theme Manager looks for theme files in this directory unless specified otherwise.

### Configuration File (hue.config)

The configuration file `hue.config` stores essential settings for the Theme Manager, including:

- `default_theme`: Specifies the default theme to load if none is specified explicitly.
- `themes_dir`: Defines the directory where theme files (`*.theme`) are stored.
- `manifest_file`: Indicates the file (`MANIFEST`) containing theme hashes for validation.
- `log_file`: Path to the log file (`theme.log`) for recording theme management activities.

Ensure `hue.config` is correctly configured to align with your environment and requirements.

## Usage

### Importing the Theme Object

To utilize themes in your script, import the `Theme` object from the `src` module:

```python
from src import Theme
```

### Managing Themes

#### Loading a Theme

You can load a theme using its file name or the default theme specified in `hue.config`:

```python
theme_manager = ThemeManager()
theme = theme_manager.get_theme_instance('my_theme.theme')  # Load specific theme
```

#### Validating a Theme

Validate a theme against its hash in the manifest file to ensure integrity:

```python
theme_manager = ThemeManager()
valid = theme_manager.validate_theme('my_theme.theme')  # Validate specific theme
```

### Useful Tidbits

- **Dynamic Theme Loading**: Themes are dynamically loaded and can be swapped during runtime based on your application's needs.
- **Logging**: The Theme Manager logs activities to `theme.log`, providing visibility into theme loading and validation operations.
- **Extensibility**: Customize `hue.config` and extend the `Theme` class as per your project's thematic requirements.

## Example

```python
hue import ThemeManager


# Initialize ThemeManager instance
theme_manager = ThemeManager()
theme_manager.setup_logging()

# Load and validate a specific theme
theme = theme_manager.get_theme_instance('my_theme.theme')
if theme:
    print(f"Loaded theme: {theme.list_theme_attributes()}")

# Validate the loaded theme
valid = theme_manager.validate_theme('my_theme.theme')
if valid:
    print("Theme validated successfully.")
else:
    print("Failed to validate theme.")
```
pneumonia_model_package 0.3.0
deep convolutional neural network for patient chest disease prediction
Requires Python: <4.0,>=3.10

# PNEUMONIA XRAY RESULT CLASSIFICATION

A machine learning program that classifies correctly sick patient's chest xray reports to be either pneumonia infected or normal. This program uses a **neural network algorithm** to detect sick patient.

## Data set and its description  

| Data              | Description                                               |
|-------------------|-----------------------------------------------------------|
| Image             | the image object (jpeg format)                            |
| Label             | class of the image (normal, pneumonia)                    |

## Dependencies and packages  

1. numpy>=1.20.0,<1.21.0
2. python = 3.10
3. pandas = 2.2.2
4. scikit-learn = 1.4.2
5. pydantic = 2.7.0
6. strictyaml = 1.7.3
7. tensorflow = 2.16.1
8. scikeras = 0.13.0
9. tensorflow-datasets = 4.9.4
10. pillow = 10.3.0
11. pydantic-settings = 2.2.1
12. fastapi = 0.110.3
13. uvicorn = 0.29.0
14. loguru = 0.7.2
15. python-multipart = 0.0.9

## Source code link  

Source code link:
[Github link](https://github.com/chibuikeeugene/pneumonia_classification_xception_model.git)

Python index package:
[Pypi link](https://pypi.org/project/pneumonia_model_package/)
morseet 1.0.0
morseet, is a command-line tool to convert morse code to text and vice versa.
Requires Python: >=3.11
Keywords: terminal, Morse Code converted, Encryption, CLI


# morseet
morseet(slang for morse-it) is a command line tool to convert text to morse-code and vice versa. It has various features and customization options making it the only tool
you would go to. 

# Features

- Text to Morse code converter
- Morse Code to text converter
- Easily unserstand minor bugged morse codes
- SOS signal
- See delayed morse code formation real time
- Amazing color scheme customizability

# Installation
To install morseet, please fulfill the dependicies and run the following command:
```bash
pip install morseet
```
To run the command, run the following command:
```bash
morseet
```
And you are good to go!

## Dependencies
- toml
- Other python libraries which will be installed automatically

Visit the Github Repository for more details: https://github.com/AnirudhG07/morseet

# Version
1.0.0

# Note:
1) The tool is developed using Python.
2) This tools is crossplatform for MacOS, Linux, Windows, etc.
kitchenware_model_package 0.0.4
computer vision model - xception model for classifiying kitchen utensils
Requires Python: <4.0,>=3.10

# KITCHEN WARE CLASSIFICATION

A machine learning program that classifies correctly kitchen utensils within the kitchen using machine aided assistance(computer vision) for a disabled/non disabled entity. This program uses a **neural network algorithm** to detect kitchen utensils.

## Data set and its description  

| Data              | Description                                                                   |
|-------------------|-------------------------------------------------------------------------------|
| Image             | the image object(jpg format)                                                  |
| Label             | class of the image (glass, cup, spoon, plate, knife, fork)                    |

## Dependencies and packages  

1. numpy>=1.20.0,<1.21.0
2. python = 3.10
3. pandas = 2.2.2
4. scikit-learn = 1.4.2
5. pydantic = 2.7.0
6. strictyaml = 1.7.3
7. tensorflow = 2.16.1
8. scikeras = 0.13.0
9. tensorflow-datasets = 4.9.4
10. pillow = 10.3.0
11. pydantic-settings = 2.2.1
12. fastapi = 0.110.3
13. uvicorn = 0.29.0
14. loguru = 0.7.2
15. python-multipart = 0.0.9

## Source code link  

Source code link:
[Github link](https://github.com/chibuikeeugene/kitchenware_classification_xception_model.git)

Python index package:
[Pypi link](https://pypi.org/project/kitchenware_model_package/)