Skip to main content

Auto Populate GDoc tables using LLMs.

Project description

AutoPop: Auto Populate Google Doc Tables using LLMs

Description

AutoPop is a Python package designed to automatically populate tables in Google Docs using Large Language Models (LLMs). The package leverages the power of LLMs to generate content for various aspects of a Google Doc, making it easier to create comprehensive and informative tables without manual effort.

Features

Auto-populate tables in Google Docs with data generated by LLMs. Supports various types of LLMs including GPT-4, Claude, etc. Easy to use with a simple Python API. Highly customizable to suit different use-cases.

Installation

To install the package, run:

pip install autopop

Dependencies

requests selenium openai

Usage

TBD

Contributing

Contributions are welcome! Please read the contributing guidelines to get started.

License

This project is licensed under the MIT License. See LICENSE.md for details.

Contact

For questions and support, please contact david.schwartz@devfactory.com.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autopop-2.7.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

autopop-2.7-py3-none-any.whl (6.1 kB view details)

Uploaded Python 3

File details

Details for the file autopop-2.7.tar.gz.

File metadata

  • Download URL: autopop-2.7.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.4

File hashes

Hashes for autopop-2.7.tar.gz
Algorithm Hash digest
SHA256 52567f396c2c9faf6df1b783eff2ece08ae65dee4918e6cddcae71e31a754060
MD5 f041c1e21c61e8dc8045afe39adad9fe
BLAKE2b-256 fa207d11c5074fa55506e4957d7e2da2d161ecd13160e42ff875b702e4358867

See more details on using hashes here.

File details

Details for the file autopop-2.7-py3-none-any.whl.

File metadata

  • Download URL: autopop-2.7-py3-none-any.whl
  • Upload date:
  • Size: 6.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.4

File hashes

Hashes for autopop-2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 941dc1b7a0427aa4738d9d8a4fbe8b32c32c9e14e93db59a6ad168143f738ca0
MD5 ed05f0a1c3bff047bdbf392443ccbc07
BLAKE2b-256 a1a990c611b2184388ee727aa92553e31fb3d7c2b3b97a4a325630d4aad783af

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page