semvec/pypi-packages huggingface dataset:
ajayspackage 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.
ajaynitapackage 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.
AudioProcessor 0.2.1
A Python package for recording, transcribing, and converting audio

AudioProcessor
==============

AudioProcessor is a Python library that provides a simple interface to perform various audio processing tasks such as recording, voice-to-text conversion, text-to-voice conversion, and audio playback.

Installation
------------

To use AudioProcessor, make sure you have the following packages installed:

*   pyaudio
*   pydub
*   pydub.effects
*   speech\_recognition
*   webrtcvad
*   gtts

You can install these packages using pip:

`pip install pyaudio pydub speechrecognition webrtcvad gtts`

Usage
-----

To use AudioProcessor, simply import the `AudioProcessor` class and create an instance:

`from audio_processor import AudioProcessor  processor = AudioProcessor()`

### Recording audio

To record audio, use the `record_audio` method:

`processor.record_audio("output_file.wav")`

This method records audio from the microphone and saves it to a .wav file.

### Voice-to-text conversion

To convert an audio file to text, use the `audio_to_text` method:

`text = processor.audio_to_text("input_file.wav")`

### Text-to-voice conversion

To convert text to an audio file, use the `text_to_audio` method:

`processor.text_to_audio("Hello world!", "output_file.wav")`

### Audio playback

To play an audio file, use the `play_audio_file` method:

`processor.play_audio_file("input_file.wav")`

Class Parameters
----------------

The `AudioProcessor` class can be initialized with the following parameters:

*   `frame_duration_ms`: (int) Frame duration in milliseconds for Voice Activity Detection (default: 30)
*   `sample_rate`: (int) Sample rate of the audio in Hz (default: 16000)
*   `chunk_size`: (int) Chunk size for audio playback (default: 1024)
*   `vad_mode`: (int) Voice Activity Detection mode, an integer between 0 and 3 (default: 2)
*   `log_level`: (int) Logging level, an integer between 0 and 50 (default: logging.WARNING)

License
-------

This project is licensed under the MIT License.
apininja 0.1.9
An api module generator.
Keywords: api generator

# apininja

`apininja` is a simple CLI automation tool that generates a small boilerplate module
that serves as api for database models or other models. Currently it generates the basic
CRUD operations as well as functions for serializing a single object to dictionary.

## Sample Output

A sample output for `apininja MyModel`

```py
# API Created for my_model

def serialize_my_model(data):
	return {"id": data.id}

def serialize_my_models(lst):
	serialized = []
	for item in lst:
		serialized.append(serialize_my_model(item))
	return serialized

def my_model_list_api(lst):
	return serialize_my_models(lst)

def my_model_detail_api(data):
	return serialize_my_model(data)

def my_model_create_api(*args, **kwargs):
	pass

def my_model_update_api(*args, **kwargs):
	pass

def my_model_delete_api(*args):
	pass
```

## Installation

```py
pip install apininja
```

## Usage

```py
apininja UserModel
```