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.dev20231005.tar.gz (93.1 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.dev20231005-py3-none-any.whl (140.7 kB view details)

Uploaded Python 3

File details

Details for the file langfun-0.0.2.dev20231005.tar.gz.

File metadata

  • Download URL: langfun-0.0.2.dev20231005.tar.gz
  • Upload date:
  • Size: 93.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for langfun-0.0.2.dev20231005.tar.gz
Algorithm Hash digest
SHA256 09edaf477dc0635235d0c5f45a8772d72a27eaf2efc4173c00c8e2b74b85c11c
MD5 f25a8aa76263f574b03661c639a55087
BLAKE2b-256 fde24463a6810af3a36fb7334c0b25ef8bd7ea0d7e9d242d5c149358be19a19f

See more details on using hashes here.

File details

Details for the file langfun-0.0.2.dev20231005-py3-none-any.whl.

File metadata

File hashes

Hashes for langfun-0.0.2.dev20231005-py3-none-any.whl
Algorithm Hash digest
SHA256 05f7a57d9b189d24d9aef6be10a8695e529b9f05a4a89f43f07d407d9efc2bea
MD5 9eecbb206da26a30d013eafd59aa7a20
BLAKE2b-256 efebd011ccc2ac308b470573fc0bb26c5af47fbf72d6acb5855f866e7d50780c

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