ai-alchemy 0.1.7

Lightweight package for arbitrary data transformation and validation using AI models and first class python libraries like Pandas and Pydantic.

AI Alchemy

AI Alchemy is a Python library that provides a convenient way to interact with AI models, such as OpenAI's GPT-3.5 Turbo, and perform transformations on data.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

You need to have Python installed on your machine. You can download Python here.

Installation

You can install AI Alchemy via pip:

pip install ai_alchemy

Usage

Here's a basic example of how to use AI Alchemy:

# Import necessary libraries
import os
import ai_alchemy
from ai_alchemy.ai import OpenAIWrapper
from pydantic import BaseModel

# Instantiate a wrapper for an AI model
openai = OpenAIWrapper(api_key=os.environ["OPENAI_API_KEY"], model="gpt-3.5-turbo")

# Define a Pydantic model
class User(BaseModel):
    name: str
    age: int

# Input data
data = "John Smith is 25 years old, five foot ten inches tall, and weighs 150 pounds."

# Use AI Alchemy to transform the data into a Pydantic model
model = ai_alchemy.cast.str_to_pydantic_model(data, openai, User)

# Now `model` is a `User` instance with `name` and `age` populated from `data`