semvec/pypi-packages huggingface dataset:
bsodrop 0.0.2
A simple python repository for calling bsod inside your code.
Requires Python: >=3.6

A simple python repository for calling bsod inside your code.

## Usage:

Installing:

`pip install -U bsodrop`

```python
import bsodrop as bsod

bsod.start()  # Start BSOD
```

Build `bst.dll`:

```shell
g++ -shared -o "bst.dll" "-Wl,--out-implib,libbst.a" "pbsod.cpp" "-lntdll"
```
cleverdoc 1.0.8
AI lib for processing and de-identification medical documents and images.
Requires Python: >=3.9

# CleverDoc

<p align="center">
    <a href="https://pypi.org/project/cleverdoc/" alt="Package on PyPI">
        <img src="https://img.shields.io/pypi/v/cleverdoc.svg" /></a>
    <a href="https://github.com/ApiComPro/cleverdoc-workshop/actions/workflows/documentation.yml" alt="Package on PyPI">
            <img src="https://github.com/ApiComPro/cleverdoc-workshop/actions/workflows/documentation.yml/badge.svg" /></a>
</p>


CleverDoc is a library for processing and de-idention of medical documents. It is built on top of Apache Spark.

It is developing by [ApicomPro](https://apicom.pro/).

## Project's website
Take a look at our official CleverDoc page: [CleverDoc](https://cleverdoc.apicom.pro/) for user documentation and examples.

## Community support
- [Workshop](https://github.com/ApiComPro/cleverdoc-workshop) Examples of usage CleverDoc library
- [Slack](https://join.slack.com/t/apicompro/shared_invite/zt-2kf8ro3ts-N480VqC9Hq5uB_XK8EBfNg) For live discussion with the CleverDoc community and the team
- [GitHub](https://github.com/ApiComPro/cleverdoc-workshop/issues) Bug reports, feature requests
- [Medium](https://medium.com/@apicom.pro) CleverDoc tutorials and articles

## Supported formats

- PDF (with text layout, scanned)
- DOCX
- Images (JPG, PNG, TIFF, BMP)
- DICOM

## Installation
The following command installs CleverDoc from the [Python Package Index](https://pypi.org/project/cleverdoc/). You will need a working installation of Python 3.9 and pip.
```bash
pip install cleverdoc[inference]
```
cloudflared-tunnel 0.1.0
Start a TryCloudflare Tunnel with a context manager.
Keywords: cloudflare tunnel python

# Cloudflared Context Manager

Simple context manager to create a Cloudflared tunnel for a localhost port of choice.

Minimal example on how to use this package with Gradio:

```python
import gradio as gr
import cloudflared_tunnel

with gr.Blocks() as demo:
    with gr.Column():
        with gr.Row():
            input_text = gr.Textbox(lines=10, label="Input")
            output_text = gr.Textbox(lines=10, label="Output")
        submit_button = gr.Button(value="Echo")
    submit_button.click(lambda x: x, inputs=input_text, outputs=output_text)

if __name__ == "__main__":
    with cloudflared_tunnel.run() as port:
        demo.launch(show_api=False, server_port=port)
```

## Acknowledgements

This project is derived from [flask-cloudflared](https://github.com/UWUplus/flask-cloudflared), which in turn is based on [flask-ngrok](https://github.com/gstaff/flask-ngrok).
getSecrets 1.2
A package to read secrets from Hashicorp vault
Requires Python: >=3.7

# getSecrets package


getSecrets is a simple package that reads a secret from a Hashicorp vault

usage:

```
from get_secrets import get_secret

data = get_secret(<id>)
```

If the secret is a single key/value pair, data is a type tuple(key, value)
else, data is a dictionary

Vault parameters are stored in a config file ~/.config/.vault/.vault.yml
```
vault:
  token: "<access token>"
  vault_addr: "https://vault:8200"
  certs: "<path>/bundle.pem"
```
Bilingual-conversational-bot 0.1
A Real-Time Live Bilingual Conversation bot for English to Spanish and Spanish to English using Streamlit

# Bilingual Conversation Bot

This Streamlit application allows for bilingual conversation using speech recognition and translation.

## Installation

pip install -r requirements.txt



## Configuration
Microphone: Ensure your microphone settings are configured correctly.
Speaker: Set your speaker output according to the local machine and Microsoft Teams settings.