Skip to main content

A machine that reads texts analytically and syntopically.

Project description

Reading-Machine

A machine that reads texts analytically and syntopically.

In order to launch it from the command line or as a Python subprocess:

echo "Theodotos-Alexandreus: Are language models seeking the Truth, machine?" \
  | uvx reading-machine \
    --provider-api-key sk-proj-... \
    --github-token ghp_... 

Or, with a local pip installation:

pip install reading-machine

Set the environment variables:

export PROVIDER_API_KEY="sk-proj-..."
export GITHUB_TOKEN="ghp_..."

Then:

reading-machine -a multilogue.txt

Or:

reading-machine multilogue.txt > response.txt

Or:

reading-machine -a multilogue.txt > tmp && echo tmp > multilogue.txt

Or use it in your Python code:

# Python
import reading_machine

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

reading_machine-0.0.5.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

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

reading_machine-0.0.5-py3-none-any.whl (22.1 kB view details)

Uploaded Python 3

File details

Details for the file reading_machine-0.0.5.tar.gz.

File metadata

  • Download URL: reading_machine-0.0.5.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for reading_machine-0.0.5.tar.gz
Algorithm Hash digest
SHA256 04218c2d676dbfeca6324e231648171559302a705df2cdb02c087abc283b9448
MD5 67ab4f703c7973358a87915c4abbe51f
BLAKE2b-256 a38ed8cabc99b153d2bc53a21a2552903647aaaab1c2c385db51a1735eed3ea8

See more details on using hashes here.

Provenance

The following attestation bundles were made for reading_machine-0.0.5.tar.gz:

Publisher: python-publish.yml on machina-ratiocinatrix/reading-machine

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file reading_machine-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: reading_machine-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 22.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for reading_machine-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 739522c56c13e75326da4cb0e9e3507f2102d0edf54b735b436bfc01a79388c6
MD5 b9eec15bb8aecb51e84f9b467be83a93
BLAKE2b-256 8a2409058f5caf57173993acfd7279bdba18a1cf690df051bab8d04ecc5515d3

See more details on using hashes here.

Provenance

The following attestation bundles were made for reading_machine-0.0.5-py3-none-any.whl:

Publisher: python-publish.yml on machina-ratiocinatrix/reading-machine

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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