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:
Importing the Library
After installation, you can import the Humiris library into your Python project:
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.
Responses are generated using AI and may contain mistakes.