Skip to main content

LociSimiles is a Python package for finding intertextual links in Latin literature using pre-trained language models.

Project description

Loci Similes

LociSimiles is a Python package for finding intertextual links in Latin literature using pre-trained language models.

Basic Usage

# Load example query and source documents
query_doc = Document("../data/hieronymus_samples.csv")
source_doc = Document("../data/vergil_samples.csv")

# Load the pipeline with pre-trained models
pipeline = ClassificationPipelineWithCandidategeneration(
    classification_name="...",
    embedding_model_name="...",
    device="cpu",
)

# Run the pipeline with the query and source documents
results = pipeline.run(
    query=query_doc,    # Query document
    source=source_doc,  # Source document
    top_k=3             # Number of top similar candidates to classify
)

pretty_print(results)

Optional Gradio GUI

Install the optional GUI extra to experiment with a minimal Gradio front end:

pip install locisimiles[gui]

Launch the interface from the command line:

locisimiles-gui

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

locisimiles-0.2.1.tar.gz (18.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

locisimiles-0.2.1-py3-none-any.whl (23.0 kB view details)

Uploaded Python 3

File details

Details for the file locisimiles-0.2.1.tar.gz.

File metadata

  • Download URL: locisimiles-0.2.1.tar.gz
  • Upload date:
  • Size: 18.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.13.3 Darwin/24.6.0

File hashes

Hashes for locisimiles-0.2.1.tar.gz
Algorithm Hash digest
SHA256 c37c3276a8dc07bcf26a37e882bdd99d753adc35ae4a91ba721bf507b01398e1
MD5 f31780b6277efc2d1215f71ad2514ecf
BLAKE2b-256 7a808a627017a5b613b4f8f1057aeba6183853987d41d2769db0d9661a53f407

See more details on using hashes here.

File details

Details for the file locisimiles-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: locisimiles-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 23.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.13.3 Darwin/24.6.0

File hashes

Hashes for locisimiles-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ac4bae81b72dee0044fa29cd4e08d5bc5232e20069cc0ba398f7dcdf105f8347
MD5 0fcfddcd6d9a07f605cee51dbda7c129
BLAKE2b-256 6afdf61090138a35e18016aa8ab7bd65e00aeb58a3c1af564c69c00e4df5e132

See more details on using hashes here.

Supported by

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