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.dev20231007.tar.gz (93.3 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.dev20231007-py3-none-any.whl (140.9 kB view details)

Uploaded Python 3

File details

Details for the file langfun-0.0.2.dev20231007.tar.gz.

File metadata

  • Download URL: langfun-0.0.2.dev20231007.tar.gz
  • Upload date:
  • Size: 93.3 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.dev20231007.tar.gz
Algorithm Hash digest
SHA256 e3159315f52eaa300ef3ddcd5bb420713751604e8c4e55ca021b2b5bc3363252
MD5 0409ca4560cb6d0d64917a7b6e48da45
BLAKE2b-256 2b6effd630f4bb15f9edffc0faafbf551bd130dd970fe6402e54e728098c3a79

See more details on using hashes here.

File details

Details for the file langfun-0.0.2.dev20231007-py3-none-any.whl.

File metadata

File hashes

Hashes for langfun-0.0.2.dev20231007-py3-none-any.whl
Algorithm Hash digest
SHA256 8d8651a87c1d88d2b2f329df5898c2f517bc2b7c29d24013df855909f77bf973
MD5 ca0099385bb49ea0bf78a265213a9b9f
BLAKE2b-256 b5b9b3d6c80daabc86933204706092d4ff2ea84f4151acf3940bf5224422fb2d

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