Metadata-Version: 2.2
Name: ai_cheerish
Version: 0.1.5
Summary: Enhance AI model performance by injecting inspirational words into prompts.
Home-page: https://github.com/Alex-ardashev/cheer_lib
Author: Your Name
Author-email: your.email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: python-dotenv>=0.19.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# AI Cheerish

AI Cheerish enhances your AI application's performance by injecting inspirational messages into prompts.

## Installation

Install with pip:


## Usage

Note: Before using, copy config.example.json to config.json and update it with your private configuration. The config.json file is not tracked by version control.

from ai_cheerish import AICheerLib

class DummyAIClient:
def get_response(self, prompt):
return "Dummy response: " + prompt
ai_client = DummyAIClient()
cheer_ai = AICheerLib(ai_client)
response = cheer_ai.process_user_message("Hello!")
print(response)

