semvec/pypi-packages huggingface dataset:
annual-report 0.1.0
the objectives of this project, is to retrieve all annual report documents on a given website
Requires Python: >=3.11

## Annual Report

The purpose of this project is to extract all the available annual report files from a particular website. The project aims to retrieve these documents systematically and comprehensively, ensuring that no report is missed. The extracted reports will be stored in a structured format for further analysis and processing. The final output will be a complete and accurate collection of all the annual reports available on the website.


## How to Install

```
pip install annual_report

```

## How to use


```python

import annual_report


 annual_report = AnnualReport("https://pdfdrive.com")
 annual_report.scraper_with_google()
 annual_report.save_with_json("./result")
 annual_report.save_with_csv("./result")
wordcel 0.4.5
Swiss army-knife for composing LLM outputs
Requires Python: <4.0,>=3.9

<p align="center">
	<img src="assets/sun.jpeg" height="400" />
</p>

# 😶 Wordcel

`wordcel` is a library of functions that provides a set of common tools for working with large language models.

Candidly, it is mostly a set of functions that I myself use on a regular basis — my own personal Swiss army knife. 

## Installation

You can simply `pip install wordcel`.

## Documentation

- [LLM APIs](docs/llms.md): Wrapper functions over the most common LLM APIs.
- [RAG](docs/rag.md): Helper functions for RAG, and a minimal implementation of Anthropic's "Contextual Retrieval" method. 
- [featurize](docs/featurize.md): Helper functions for multithreaded inference over text columns in pandas DataFrames.
- [DAG](docs/dag.md): WordcelDAG is a flexible and extensible framework for defining and executing Directed Acyclic Graphs (DAGs) of data processing tasks, particularly involving LLMs and dataframes. 

There is also a nascent CLI. `wordcel --help`:

```
Usage: wordcel [OPTIONS] COMMAND [ARGS]...

  Wordcel CLI.

Options:
  --help  Show this message and exit.

Commands:
  dag  WordcelDAG commands.
```