semvec/pypi-packages huggingface dataset:
whitebit-httpx-client 0.6.0
An asynchronous library for interacting with whitebit
Keywords: whitebit, whitebit api, whitebit client

## WhiteBIT httpx client

[![PyPI Downloads](https://img.shields.io/pypi/dm/whitebit_httpx_client.svg)](https://pypistats.org/packages/whitebit_httpx_client)
[![Ruff](https://img.shields.io/badge/code%20style-ruff-ff69b4.svg)](https://github.com/charliermarsh/ruff)
[![Python Versions](https://img.shields.io/pypi/pyversions/whitebit_httpx_client.svg)](https://pypi.org/project/whitebit_httpx_client/)

[![Test](https://github.com/Grommash9/whitebit_httpx_client/actions/workflows/test.yml/badge.svg)](https://github.com/Grommash9/whitebit_httpx_client/actions/workflows/test.yml)
[![Ruff lint check](https://github.com/Grommash9/whitebit_httpx_client/actions/workflows/lint-check.yml/badge.svg)](https://github.com/Grommash9/whitebit_httpx_client/actions/workflows/lint-check.yml)

whitebit_httpx_client is a white bit https clinet
HumanTone 0.1.5
A unique sentiment analysis library with paraphrasing, contextual similarity, and speech output.
Requires Python: >=3.7

# Humanlike Sentiment:

HumanTone is a powerful and intuitive Natural Language Processing (NLP) library designed to enhance human-like text processing and interaction. It integrates advanced sentiment analysis, intelligent text paraphrasing, semantic similarity detection, and natural speech synthesis, making it an all-in-one solution for text-based AI applications.

## Features


✅ Sentiment Analysis – Accurately determines the emotional tone of a given text (Positive, Negative, Neutral) with confidence scores.
*
✅ Paraphrasing – Generates high-quality paraphrases while maintaining semantic meaning, improving text diversity and readability.
*
✅ Text Similarity Detection – Compares sentences for semantic similarity, aiding in duplicate detection, question-answering, and recommendation systems.
*
✅ Speech Synthesis – Converts text into natural-sounding speech using text-to-speech (TTS) technology.

HumanTone is ideal for chatbots, content generation, virtual assistants, and AI-driven conversations, helping developers create more natural and engaging user experiences. Designed for ease of use, it ensures seamless integration into Python projects.

## Installation:

```bash
pip install git+https://github.com/yourgithub/humanlike_sentiment.git



*** Usage Example:

from HumanTone import HumanToneParaphraser, analyze_sentiment, HumanToneSimilarity, speak

paraphraser = HumanToneParaphraser()
print(paraphraser.paraphrase("The weather is nice today."))

print(analyze_sentiment("I love programming!"))

print(HumanToneSimilarity.analyze_similarity("The sun is shining", "It's a sunny day"))

speak("Welcome to HumanTone!")
frame-ble 1.1.1
Low-level library for Bluetooth LE connection to Brilliant Labs Frame
Requires Python: >=3.7

# frame-ble

Low-level library for Bluetooth LE connection to [Brilliant Labs Frame](https://brilliant.xyz/)

[Frame SDK documentation](https://docs.brilliant.xyz/frame/frame-sdk/).

[Examples repo on GitHub](https://github.com/CitizenOneX/frame_examples_python).

## Installation

```bash
pip install frame-ble
```

## Usage

```python
import asyncio
from frame_ble import FrameBle

async def main():
    frame = FrameBle()

    try:
        await frame.connect()

        await frame.send_lua("frame.display.text('Hello, Frame!', 1, 1);frame.display.show();print(nil)", await_print=True)

        await frame.disconnect()

    except Exception as e:
        print(f"Not connected to Frame: {e}")
        return

if __name__ == "__main__":
    asyncio.run(main())
```