Skip to main content

Extract structured claims from text and PDFs

Project description

linked-claims-extractor

Extract claims from text, url or pdf using AI LLMs to help

Installation

This project uses pyproject.toml for dependencies

python -m venv .venv
. .venv/bin/activate
pip install -e .

Testing and Debugging

pytest -s --pdb

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

linked_claims_extractor-0.1.0.tar.gz (7.0 kB view details)

Uploaded Source

Built Distribution

linked_claims_extractor-0.1.0-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file linked_claims_extractor-0.1.0.tar.gz.

File metadata

File hashes

Hashes for linked_claims_extractor-0.1.0.tar.gz
Algorithm Hash digest
SHA256 b694f930a0ebf89a00cb55499e049b0d8abc50e6316eb8ec0f32e549b046f8c2
MD5 d3d5d61d1ee7a5161b8f11d38fc558b4
BLAKE2b-256 861a90206df9217ca1118cc46a07e93658c9b57b0175a935659c119fc4ec7927

See more details on using hashes here.

File details

Details for the file linked_claims_extractor-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for linked_claims_extractor-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a65feb2313942fcedb5a30af8af80ea70f17571268f01c3daaea5ef93b753b7a
MD5 eb062fe581f0d1a0d64daf781e3b1e78
BLAKE2b-256 34a8bb34e28d6116969f5a69d2d6660deb36eea781ec741df809ce7ac644283a

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