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.dev20231002.tar.gz (91.4 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.dev20231002-py3-none-any.whl (138.9 kB view details)

Uploaded Python 3

File details

Details for the file langfun-0.0.2.dev20231002.tar.gz.

File metadata

  • Download URL: langfun-0.0.2.dev20231002.tar.gz
  • Upload date:
  • Size: 91.4 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.dev20231002.tar.gz
Algorithm Hash digest
SHA256 a91bb7816456239297e0be8918c22bd1d8b1814582a6079c8719c820a9419791
MD5 973aea55b27ce4c6ea426d36b89500c5
BLAKE2b-256 e06571e9b0e5a5f451678333ec8527d27bda4401696997eaeef4910f26c88d24

See more details on using hashes here.

File details

Details for the file langfun-0.0.2.dev20231002-py3-none-any.whl.

File metadata

File hashes

Hashes for langfun-0.0.2.dev20231002-py3-none-any.whl
Algorithm Hash digest
SHA256 f988ccb5c1c0095c34b88b3742e219d74a53344503b3b4767b0bfd5d2cfdf01c
MD5 eb822a7e592eb4701fe59aab2ead97bc
BLAKE2b-256 2c7e88e82a57a0e39031c0abc6c4b2da65b01db24152db29a71027ebde6cb073

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