semvec/pypi-packages huggingface dataset:
pyimdbmoviefinder 0.1.0
Library for searching torrents that match an IMDb search.
Requires Python: >=3.8

# PyImdbMovieFinder

Package for searching torrents that match an IMDb search.
The torrent found can be sent to a torrent downloader such as a [transmission](https://github.com/transmission/transmission) daemon running on a remote server using RPC protocol.

The Jackett part is heavily inspired by https://github.com/KevinMidboe/torrent_search

Some exemple apps are available [here](https://github.com/bastreynard/pymf-apps).

### Prerequisite 

- `pip install pyimdbmoviefinder`

#### CLI

`pyimdbmoviefinder [OPTIONS]`

```bash
pyimdbmoviefinder CLI
usage: pyimdbmoviefinder [-h] [-t TITLE] [-i ID] [-a] [-n NUM] [--tv]

pyimdbmoviefinder CLI usage

options:
  -h, --help              show this help message and exit
  -t TITLE, --title TITLE Search movie by Title
  -i ID, --id ID          Search movie by IMDb ID
  -a, --all               Search torrents on all providers, otherwise only YTS is used
  -n NUM, --num NUM       Maximum number of search results
  --tv                    Include TV shows results
```

A `config.ini` file can be used to pass the RPC server settings to the CLI (see `config/config.ini.sample`).

## Dependencies

This app makes use of these projects:
* [IMDbPY](https://github.com/MaximShidlovski23/imdbpy)
* [torrent_search](https://github.com/KevinMidboe/torrent_search)
shardai 0.0.5
A package for ShardAI
Requires Python: >=3.8

# ShardAI PKG

## Installation

```bash
pip install shardai
```

## Usage

```python
from shardai import ShardClient

client = ShardClient("your-api-key") # Replace with your API key

# Get all the available chat models
models = client.chat.models()

# Get the response from the chat model
response = client.chat.completions("Hello, how are you?", "llama_2_7b")

print(response.choices[0].message.content) # This will be a response from the model

# Get all the available image generation options

options = client.image.options()

# Get the response from the image generation model
response = client.image.completions("A picture of a cat")

print(response.image) # This will be an image as https://shard-ai.xyz/static/....png

response.image.download("cat.png") # This will download the image to the current directory

image_bytes = response.image.as_bytes() # This will return the image as bytes

# Get all the available tts voices
voices = client.tts.voices()

# Get the response from the tts model
response = client.tts.completions("Hello, how are you?")

print(response.audio) # This will be an audio encoded in base64
```

## License

[MIT](https://choosealicense.com/licenses/mit/)

## Author

[ShardAI](https://shard-ai.xyz)
brapy 0.0.1
Python client to acess brapi.dev
Requires Python: >=3.10,<4.0

# Brapy

Brapy is python client to acess brapi.dev.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install brapy
```

## Usage

```python
from brapy import Client

# returns a Client with 'ticker' selected
api = Client().select('ticker')

# returns prices of the 'ticker' selected
prices = api.prices()

```

## Contributing

Pull requests are welcome. For major changes, please open an issue first
to discuss what you would like to change.

## License

[MIT](https://choosealicense.com/licenses/mit/)
multion 0.3.16
MULTION API
Requires Python: >=3.8,<4.0

# Multion Python SDK

The Multion Python SDK provides a convenient way to interact with the Multion API and perform various operations such as creating sessions, updating sessions, closing sessions, and retrieving session information.

## Documentation

For detailed documentation on how to use the Multion Python SDK and the available functions, please refer to the official Multion API [documentation](https://docs.multion.ai).