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A short description of the SBAI package

Project description

sbai (Simple Broader AI)

A Python package to simplify interactions with OpenAI and Google Gemini APIs.

Installation

pip install sbai

Features

  • Easy-to-use interfaces for ChatGPT and Gemini
  • Configurable model parameters
  • Optional conversation memory
  • Support for system instructions

Usage

ChatGPT Integration

from sbai import ChatGPT

# Initialize with OpenAI API key
client = ChatGPT(
    api_key="your_openai_api_key", 
    model="gpt-4o-mini", 
    memory=True
)

# Send a prompt
response = client.prompt("Write a haiku about AI")
print(response)

# Clear conversation history
client.clear_history()

Gemini Integration

from sbai import Gemini

# Initialize with Google API key
client = Gemini(
    api_key="your_google_api_key", 
    model="gemini-2.0-flash-exp", 
    instructions="Be concise and helpful"
)

# Send a prompt
response = client.prompt("Explain quantum computing")
print(response)

# Clear conversation history
client.clear_history()

Configuration Options

ChatGPT

  • api_key: Your OpenAI API key (required)
  • model: OpenAI model to use (default: "gpt-4o-mini")
  • temperature: Sampling temperature (0-1, default: 0)
  • top_p: Nucleus sampling parameter (0-1, default: 0)
  • instructions: System-level instructions
  • max_token: Maximum tokens in response (default: 200)
  • memory: Enable conversation memory (default: False)
  • memory_limit: Maximum messages in memory (default: 5)

Gemini

  • api_key: Your Google API key (required)
  • model: Gemini model to use (default: "gemini-2.0-flash-exp")
  • temperature: Sampling temperature (0-1, default: 0)
  • top_p: Nucleus sampling parameter (0-1, default: 0)
  • max_token: Maximum tokens in response (default: 200)
  • memory: Enable conversation memory (default: False)
  • instructions: System-level instructions

Requirements

  • Python 3.8+
  • openai library
  • google-generativeai library

License

MIT License

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