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.dev20240608.tar.gz (204.6 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.dev20240608-py3-none-any.whl (294.1 kB view details)

Uploaded Python 3

File details

Details for the file langfun-0.0.2.dev20240608.tar.gz.

File metadata

  • Download URL: langfun-0.0.2.dev20240608.tar.gz
  • Upload date:
  • Size: 204.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for langfun-0.0.2.dev20240608.tar.gz
Algorithm Hash digest
SHA256 53fff4e0e191ff991b3d0b5925a37178470eabbc6a05846071af1e0f522d9ff4
MD5 ff37a7602f11774be6a03a7a4716e2dd
BLAKE2b-256 b8e231c0606ec2cef8fdb206c14a33eac819bc5d6490b50ab20b9d72dba87490

See more details on using hashes here.

File details

Details for the file langfun-0.0.2.dev20240608-py3-none-any.whl.

File metadata

File hashes

Hashes for langfun-0.0.2.dev20240608-py3-none-any.whl
Algorithm Hash digest
SHA256 a0c2e518e0b4e910775bb48d668f57262d36455691156f619702bd5ec06ab48d
MD5 28a927f346b28978912a5a15ecc15185
BLAKE2b-256 93a7c41d21d61ff0433fc3a36e6bc3996a1d7c62eb26178731be8264656aa6a9

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