semvec/pypi-packages huggingface dataset:
gesys 1.1.15
Control your computer with gestures.
Requires Python: >=3.9
Keywords: gesture gestures control

# Gesys
Gesys is an evolving module that provides a high-level API for recognizing hand gestures using a webcam

# Get started
**Install gesys module**
```python
pip install gesys
```
**Run simple example**
```python
from gesys.preview import preview

preview(speed_mode=2)
```
extensionizer 0.0.2
Python package to create chrome extensions quickly
Requires Python: >=3.6


Extensionizer is a Python package designed to streamline the process of creating Chrome extensions. With Manifest, you can quickly generate the necessary files, including the `manifest.json` file and the files required for the extension's popup interface, such as HTML, CSS, and JavaScript.

Features:
- Easily create and customize the `manifest.json` file for your Chrome extension.
- Generate popup interface files (HTML, CSS, and JavaScript) with minimal effort.
- Simple and intuitive API for defining permissions, background scripts, content scripts, and more.
- Compatible with Python 3.6 and above.

Getting Started:
1. Install extensionizer using `pip install extensionizer`.
2. Use the provided classes and methods to define your extension's properties and generate the required files.
3. Build and test your extension locally before publishing it to the Chrome Web Store.

Manifest is ideal for developers who want to automate the creation of Chrome extensions and focus on building innovative features without getting bogged down in repetitive setup tasks. Get started with Manifest today and supercharge your Chrome extension development workflow!
anonymous-chatgpt 0.0.4
A Python Client to interact with OpenAI's ChatGPT(GPT-3) model without authentication

# Anonymous ChatGPT Client 

- Access basic ChatGPT model without authentication

OpenAI recently made the ChatGPT model accessible anonymously. You can access it without authentication.
Read more about it in the [official docs](https://openai.com/blog/start-using-chatgpt-instantly)

## Installation

- Install the package/cli

```bash
pip install anonymous-chatgpt
```

## Usage

### CLI

```bash
chatgpt --prompt "hello world"

OR 

chatgpt --chat
```


#### CLI Demonstration

![Anonymous ChatGPT Demo](https://meetgor-cdn.pages.dev/anonymous-chatgpt-demo.gif)

### Package

```python
from anonymous_chatgpt import chat_prompt, ChatGPT


message = chat_promt(prompt="hello world")
print(message)

# For chat

chatgpt = ChatGPT()

resp1 = chatgpt.chat(prompt="hello, my name is John")
resp2 = chatgpt.chat(prompt="what is my name?")
```


## Process of creating a authentication-less client

1. Send the first request to the ChatGPT API i.e. `chat.openai.com`
2. The response of that request has cookies for authentication(not user just user-agent and csrf tokens)
3. Those cookies are carried in all the upcoming requests
4. Send the second request to the [Sential API](https://techcommunity.microsoft.com/t5/manufacturing/introduction-to-openai-and-microsoft-sentinel/ba-p/3761907) i.e. `/backend-anon/sentinel/chat-requirements`
5. This request gives us the `sentinel-token` which is the token used for authentication and authorization of the requests (not users).
6. We use this token in all the subsequent requests
7. The third request is the actual request to the **Anonymous Conversation** endpoint i.e. `/backend-anon/conversation`
8. This is a streamed request which returns the response in the form of chunks
python-qb-testpackage 1.0.2
Quantum Bridge API for Python
Requires Python: >=3.10

# Quantum Bridge

FF-Quantum Bridge is a simple bridge service hosted by ForestFire that links hosts and clients through an encrypted peer-to-peer tunnel using browser-compliant WebSockets.

## TODO:
- Documentation
- Even more secure WebRTC-based implementation

Install via `pip install python-qb`