semvec/pypi-packages huggingface dataset:
nvppackage 0.0.1
A small example package
Requires Python: >=3.6

The README.md file in a Python package typically contains documentation that provides an overview of the package, its features, and how to use it. The file is written in Markdown format, which is a lightweight markup language that allows you to easily format text with headers, links, lists, and other elements.

The README.md file is usually one of the first files that a user or developer will see when they visit the package's repository on GitHub or another hosting platform. It can be thought of as the "front page" of the package and serves as a quick reference for what the package does and how to use it.

Here are some common sections that you might find in a README.md file for a Python package:

Introduction: A brief introduction to the package and its purpose.
Installation: Instructions on how to install the package using pip or another method.
Quickstart: A simple example that demonstrates how to use the package.
Usage: Detailed instructions on how to use the package, including code examples and explanations of its features.
Contributing: Guidelines for how to contribute to the package, such as how to report issues or submit pull requests.
License: Information about the license under which the package is distributed.
The README.md file is an important component of a Python package's documentation, and it's a good idea to keep it up-to-date and informative to help users and developers get started with the package.
EvaLLM 1.1.3
Speak with an emotional AI Chatbot, 100% free.



## EvaLLM
A Python Package that incorporates emotional AI into your code.

## Getting Started
Getting started is incredibly simple. First, install EvaLLM by using pip.
    `pip install evallm`
The models will not install yet, as they install when you first run. This pip install will use about 2GB - 4GB, and models take 2GB to 3GB.

## Usage
Now that you've installed, you can use the `respond()` function. There is 1 required parameter, and 1 optional. Prompt is the prompt for Eva. Temperature is a decimal integer between 0 and 1 that determines how creative Eva will be. If you have worked with GPT-3, then it works the same here. An example usage of a chat application with Eva may look like this:

```
#Import packages
import evallm as eva

# Start a conversation
while True:
    # Get user input
    user_input = input("You: ")

    # Get Eva's response
    response = eva.respond(user_input)

    # Print Eva's response
    print("Eva: ", response)
```
This results in a conversation like this:
```
You: Hi! How are you doing?
Eva: I'm doing alright, thank you. How about you?
You: Good, thanks for asking!
Eva: You're welcome, I'm happy to be informed. (＾▽＾)
```

## Mascot
Eva has an official mascot. It is a female girl, often depicted in the style of Anime. Here's a picture:
![Image of Eva](https://codesoft-assets.codesoftgames.repl.co/eva/transparent.png)