Skip to main content

Humiris is a library that allows developers to easily integrate AI capabilities into their applications.

Project description

Humiris Installation and Usage Guide

Prerequisite

Please ensure you have Python (version 3.6 or higher) installed before proceeding.

Steps to Install and Run Humiris

Step 1: Install Humiris

You can install Humiris using either npm or yarn:

# Using npm
npm install humiris-ai

# Using yarn
yarn add humiris-ai

Usage

moai = MoAi(api_key='your_api_key')

payload = UseMixtuningPayload(mix_tuning_id='id', messages=[], temperature=0.5, max_tokens=100)

response = moai.use_basic_mixtuning(payload)

print(response)

Documentation

For more detailed information, please refer to the Humiris Development Documentation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

humiris_ai-1.0.0.tar.gz (2.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

humiris_ai-1.0.0-py3-none-any.whl (2.7 kB view details)

Uploaded Python 3

File details

Details for the file humiris_ai-1.0.0.tar.gz.

File metadata

  • Download URL: humiris_ai-1.0.0.tar.gz
  • Upload date:
  • Size: 2.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.4

File hashes

Hashes for humiris_ai-1.0.0.tar.gz
Algorithm Hash digest
SHA256 9c70111b2996d748d80178bf4e53ee22adb0ec3f66ba592a727eee50640f189b
MD5 83d78ae4c6e87eeb64d4dc57c2e720b0
BLAKE2b-256 7da68109c83b2541e79619a2da816e39006cc139b7d4541e21079e7ae04d15d6

See more details on using hashes here.

File details

Details for the file humiris_ai-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: humiris_ai-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 2.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.4

File hashes

Hashes for humiris_ai-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 04985a9111586d219970b7b17c2070cb2b144c571fe77798ea30b5eac10e8e95
MD5 d582334bf73abd98034949ecac613402
BLAKE2b-256 11d3996dd2300c05caedabf4f52b05da6b58fbf057b8b25a36d2a25e084adb53

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