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.dev20231201.tar.gz (125.4 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.dev20231201-py3-none-any.whl (190.4 kB view details)

Uploaded Python 3

File details

Details for the file langfun-0.0.2.dev20231201.tar.gz.

File metadata

  • Download URL: langfun-0.0.2.dev20231201.tar.gz
  • Upload date:
  • Size: 125.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for langfun-0.0.2.dev20231201.tar.gz
Algorithm Hash digest
SHA256 0334c5d5c3d7304882ad2679a81def945ed9fd95964e257920052fff1b4f6e82
MD5 975518d52540ffa7e018d045e8746e3b
BLAKE2b-256 6cb98e7b20be2f9a4c52e6fbbbc7519389c3523194e7d906714465cf1afcca09

See more details on using hashes here.

File details

Details for the file langfun-0.0.2.dev20231201-py3-none-any.whl.

File metadata

File hashes

Hashes for langfun-0.0.2.dev20231201-py3-none-any.whl
Algorithm Hash digest
SHA256 809c03b7900326f4d8c64911990a6e958b77154b70c229fae42f2e0004392cb5
MD5 60b8d8d821e1d12574587df3be5598f8
BLAKE2b-256 bfa8e83bcfc66f02129930552da114456912967a99382b5423d2bb427b5d3baa

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