semvec/pypi-packages huggingface dataset:
y2text 1.0
Extract text from a YouTube video in a single command, using OpenAi's Whisper speech recognition model

YT2TEXT

Extract text from a YouTube video in a single command, using OpenAi's Whisper speech recognition model. It doesn't use disk, performs everything in memory.

INSTALL:
pip install y2text

USAGE:

You'll only interact with the get_text function. It takes a YouTube URL as an argument and returns the text as a string.

import y2text
result= y2text.get_text(YOUTUBE_URL)


OPTIONAL ARGUMENTS:
model 
Set Whisper model (tiny,base,small,medium or large). Check here for details:
https://github.com/openai/whisper#available-models-and-languages
Defaults to "base" which should be good enough for most cases.
The first time you use a model, it will be downloaded first.

verbose
Set True to print each step of the process. Defaults to False, it only prints if there is an error.
AlphafoldModel 1.0.1
A package of Python objects for parsing and interacting with Alphafold models.
Requires Python: >=3.10

## **AlphafoldModel** is a package to parse Alphafold PDB structures and PAE Matrices into interactive Python objects.

### The package contains the following classes:
- `AlphafoldModel`: Parses the Alphafold model PDB file alongside its JSON PAE matrix into an interactive Python object. It allows declarative queries for a model's local PAE and plDDT metrics.
- `ModelPDB`: `ModelPDB` is the base class that carries the PDB parsing functionalities as well as residue-based nearest-neighbour search methods.
- `ModelPAE`: `ModelPAE` is the base class that carries the PAE parsing functionalities for `AlphafoldModel`.
- `LoadedKDTree`: `LoadedKDTree` is a wrapper class which provides an interface over the `scipy.spatial.KDTree` class to instead store and return arbitrary objects with coordinate information.

### Explore the source file in:
`src/AlphafoldModel/alphafoldmodel`