Skip to main content

Langfun: Language as Functions.

Project description

logo

Langfun

PyPI version codecov pytest

Installation | Getting started

What is Langfun

Langfun is a Python library that aims to make language models (LM) fun to work with. Its design enables a programming model that flows naturally, resembling the human thought process. It emphasizes the reuse and combination of language pieces to form prompts, thereby accelerating innovation. In contrast to other LM frameworks, which feed program-generated data into the LM, langfun takes a distinct approach: It starts with natural language, allowing for seamless interactions between language and program logic, and concludes with natural language and optional structured output. Consequently, langfun can aptly be described as Language as functions, capturing the core of its methodology.

Install

pip install langfun

Or install nightly build with:

pip install langfun --pre

Hello World

import langfun as lf

class NumericAnswerExtractor(lf.LangFunc):
  """Numeric answer extractor.

  Here is my question:
  {{question}}

  Here is the response:
  {{question()}}

  Can you help me extract a number from the response as the answer to my
  question? Your response should only contain a number in numeric form.
  If the answer is not a number or you cannot extract it, respond with UNKNOWN.
  """
  output_transform = lf.transforms.Match('\d+').to_int()

l = NumericAnswerExtractor()

with lf.context(lm=lf.llms.Gpt35(debug=True)):
  r = l(question=lf.LangFunc('What is result of {{x}} plus {{y}}?'),
        x='one',
        y='two')
  print('Result:', r.result)

Disclaimer: this is not an officially supported Google product.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

langfun-0.0.2.dev20240607.tar.gz (203.9 kB view details)

Uploaded Source

Built Distribution

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

langfun-0.0.2.dev20240607-py3-none-any.whl (293.4 kB view details)

Uploaded Python 3

File details

Details for the file langfun-0.0.2.dev20240607.tar.gz.

File metadata

  • Download URL: langfun-0.0.2.dev20240607.tar.gz
  • Upload date:
  • Size: 203.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for langfun-0.0.2.dev20240607.tar.gz
Algorithm Hash digest
SHA256 da0d98037c76a4c4d9497b6a5a9850210caa5650b9a1cd19deb0669f4d82c1e4
MD5 df0a872fc6a1a49b37a231aca3b9fba3
BLAKE2b-256 6bb7b27e0a482407c3c37314a6f90e555e3ba05d8c1b554fe6ce9ad9d60f41c9

See more details on using hashes here.

File details

Details for the file langfun-0.0.2.dev20240607-py3-none-any.whl.

File metadata

File hashes

Hashes for langfun-0.0.2.dev20240607-py3-none-any.whl
Algorithm Hash digest
SHA256 fca66e88f2edd137472bec292da36a28793f08e2522673f9394c3520a22906b1
MD5 99fa239d7fa3de440fb9d9ba68aec540
BLAKE2b-256 437cf23b078abaaa1c29250d2bbc1e842f1d84386229b423bd339d0f3425f0a1

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