Python

Prerequisite: To install the Humiris AI library, you can use pip, the Python package manager. Ensure you have Python 3.6 or later installed on your system.

Install Humiris Open your terminal or command prompt and run the following command:

pip

pip install humiris_ai

Prerequisite: At this step you will need your Mixture Apikey to continue. How to get my Moai Apikey ?

Importing the Library After installation, you can import the Humiris library into your Python project:

import humiris_ai

Basic Usage

from humiris_ai import BasicMoAi, MessageType, BasicPayload

# Initialize the MoAi with your API key
moai = BasicMoAi(api_key='your_api_key')

# Create a payload for the AI service
messages = [
    MessageType(role='system', content='You are a helpful assistant that answers questions about technology.'),
    MessageType(role='user', content='What is the diference between a microprocessor and a central processing unit?')
]

payload = BasicPayload(
    mix_tuning_id='exampleId',
    messages=messages,
    temperature=0.7,
    max_tokens=150
)

# Call the AI service
response = moai.use_basic_mixtuning(payload)
print(response)

Advanced Usage

from humiris_ai import AdvancedMoAi, MessageType, AdvancedPayload

# Initialize the MoAi with your API key
moai = AdvancedMoAi(api_key='your_api_key')

# Create a payload for the AI service
messages = [
    MessageType(role='system', content='You are a helpful assistant that answers questions about technology.'),
    MessageType(role='user', content='What is the diference between a microprocessor and a central processing unit?')
]

payload = AdvancedPayload(
    advanced_mix_tuning_id='exampleId',
    messages=messages,
    temperature=0.7,
    max_tokens=150
)

# Call the AI service
response = moai.use_advanced_mixtuning(payload)
print(response)

Support For any questions or issues, please contact Hilario Houmey at h.hilario@humiris.ai.

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