ebin-ai-assistant 1.0.6

A library containing AI utility functions

ebin_ai_assistant

A Python library that provides AI-powered utility functions using Google's Gemini API. This library simplifies common AI tasks such as getting responses, summarizing text, and formatting content.

Features

• Get AI Response: Send prompts to Google Gemini and get text responses.
• Summarize Text: Automatically summarize long pieces of text.
• Format Text: Intelligently clean and format messy text into professional, structured output.

Installation

You can install ebin_ai_assistant directly from PyPI:

pip install ebin_ai_assistant

Configuration

Before using the library, you need to configure it with your Google Gemini API key. You can get an API key from Google AI Studio.

from ebin_ai_assistant import configure_api

# Replace with your actual API key
configure_api("YOUR_GOOGLE_GEMINI_API_KEY")

Usage

1. Get a Response

Send a prompt to the AI and get a response.

from ebin_ai_assistant import get_response

response = get_response("What is the capital of France?")
print(response)
# Output: The capital of France is Paris.

Custom Model: By default, it uses gemini-2.5-flash. You can specify a different model if needed:

response = get_response("Explain quantum physics", model_name="gemini-pro")

2. Summarize Text

Summarize a long block of text.

from ebin_ai_assistant import summarize_text

long_text = """
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming.
"""

summary = summarize_text(long_text)
print(summary)
# Output: Python is a readable, high-level programming language that supports multiple paradigms like object-oriented and functional programming.

3. Format Text

Clean up messy text and make it professional.

from ebin_ai_assistant import format_response

messy_text = "  hey there...   i need this   to be fixed!!  "
formatted = format_response(messy_text)
print(formatted)
# Output: Hey there, I need this to be fixed.

Requirements

• Python 3.9+
• google-generativeai

License

MIT License