semvec/pypi-packages huggingface dataset:
miya-chat 0.1.17
A simple chat application using Flask and AWS Bedrock
Requires Python: >=3.6

# Miya Chat

A simple chat application built with Flask.

## Installation

You can install this package using pip:

```
pip install miya-chat
```

## Usage

After installation, you can run the chat app using the following command:

```
miya-chat
```

This will start the Flask server on the default port 5000, and you can access the chat application in your web browser at `http://localhost:5000`.

To specify a custom port, you can use the `--port` option:

```
miya-chat --port 8080
```

This will start the server on port 8080, and you can access the application at `http://localhost:8080`.

## Testing Locally

To test the chat app locally before distribution:

1. Clone the repository or navigate to your project directory.

2. Create and activate a virtual environment (optional but recommended):
   ```
   python -m venv test_env
   source test_env/bin/activate  # On Windows, use: test_env\Scripts\activate
   ```

3. Install the package in editable mode:
   ```
   pip install -e .
   ```

4. Run the app with the default port:
   ```
   miya-chat
   ```
   Access the app at `http://localhost:5000`

5. Run the app with a custom port:
   ```
   miya-chat --port 8080
   ```
   Access the app at `http://localhost:8080`

6. To test access from other devices on your local network, find your computer's local IP address and use that instead of `localhost`. For example:
   ```
   http://192.168.1.100:8080
   ```

Remember to deactivate the virtual environment when you're done testing:
```
deactivate
```

## Features

- Real-time chat functionality
- Simple and intuitive interface
- Easy to install and run
- Customizable port for running the server
- Accessible from other devices on the local network

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License.
aspose-pdf-for-python-via-java 24.9
PDF generation and recognition component. It allows developers to quickly and easily work with creation, edit and conversion functionality to their Python applications.
Requires Python: >=3.6
Keywords: aspose, pdf, java

# PDF Generation & Recognition via Python

Aspose.PDF for Python via Java is a robust and reliable pdf generation and recognition component, written in Python and Java. It allows developers to quickly and easily add pdf creation and scanning functionality to their Python applications.

## General PDF Features

- Ability to read & export pdfs in multiple image formats including BMP, GIF, JPEG, TIFF & PNG
- Supports most established PDF standards and PDF specifications.

## Conversion Features

- Convert an existing XML file (.XML) or XmlDocument to a new PDF document or a PDF file stream.
- Convert conventional Image formats into PDF file.
- Convert PCL files into PDF file.
- Convert PDF in any PDF version including /A/B/X/U and PDF 2.0 standards.

## Read PDF

- Fixed Layout: PDF, XPS
- Microsoft Office:  XLS, XLSX, CGM
- Books: EPUB
- Web: HTML Other: TEX, XML, SVG, MD, MHT
- Others: PS, PCL, CGM, XSLFO/XML

## Save PDF Documents As

- Microsoft Office: DOC, DOCX, XLS, XLSX, PPTX
- Images: JPEG, PNG, BMP, TIFF, GIF
- Other: MobiXML, XML, TEXT
- Web: HTML Other: TEX, XML, SVG, MD, MHT
- Books: EPUB

## Facade functions

- Concatenate PDF Documents

## Form functions

- export/import fdf
- export/import xfdf
- export/import xml
- export/set XfaData
- fill fields
- flatten fields
- Support for determining valid radio button values
- get field names, flags, types, values
- rename fields

[Product](https://products.aspose.com/pdf/java) | [Documentation](https://docs.aspose.com/pdf/java/) | [Blog](https://blog.aspose.com/category/pdf/) | [API Reference](https://apireference.aspose.com/pdf/java) | [Free Support](https://forum.aspose.com/c/pdf) | [Temporary License](https://purchase.aspose.com/temporary-license)
GRAFX 0.6.0b0
An Open-Source Library For Audio Processing Graphs in PyTorch
Requires Python: >=3.10

# GRAFX 


<div align="center">
  
**An Open-Source Library for Audio Processing Graphs in PyTorch**


[Documentation](https://sh-lee97.github.io/grafx) | [Technical Paper (arXiv)](https://www.arxiv.org/abs/2408.03204)

`pip install grafx`

<br>
<img src="https://github.com/sh-lee97/grafx/blob/main/sphinx-doc/source/imgs//cambridge_RememberDecember_CUNextTime.svg">

</div>