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.dev20240318.tar.gz (136.8 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.dev20240318-py3-none-any.whl (209.5 kB view details)

Uploaded Python 3

File details

Details for the file langfun-0.0.2.dev20240318.tar.gz.

File metadata

  • Download URL: langfun-0.0.2.dev20240318.tar.gz
  • Upload date:
  • Size: 136.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for langfun-0.0.2.dev20240318.tar.gz
Algorithm Hash digest
SHA256 965dceeea48d45d94dac0ff1d751f7960a1740756eb8cb5e6de997bb8d247f72
MD5 eefd5eb4d5f882a9ce50be42e662607d
BLAKE2b-256 22cb1b6d193b52886bc67feb12eb2eddc6214b7ff67790da3710ba9adf29c3fd

See more details on using hashes here.

File details

Details for the file langfun-0.0.2.dev20240318-py3-none-any.whl.

File metadata

File hashes

Hashes for langfun-0.0.2.dev20240318-py3-none-any.whl
Algorithm Hash digest
SHA256 f8d5e7dc8824003f5f45b2a6e6d4c88904d08fa535e6c646b61df34675862f26
MD5 35b7e459c93c637e2f80496a2232ba85
BLAKE2b-256 2716fcbc834c2490929fd3593106272b8bbe974ecd51f84fc02e6d9b9797d019

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