caif-framework 0.0.2

CAIF (Code AI Fast): A simple, fast framework for building any AI model.

⚡ CAIF (Code AI Fast) Framework

Developer: Rudra
Version: 0.0.1 (Alpha)

CAIF is a unified, fast-track AI framework built on Python. It is designed to significantly reduce the complexity and amount of code needed to train, deploy, and analyze ANY type of AI model—from image recognition and data analysis to fully interactive web chatbots.

CAIF handles all the hard parts automatically: data cleaning, intelligent Neural Network sketching, and rich text output generation (Markdown, HTML, & Python Code).

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🚀 Key Features

• ⚡ Code Simplification: Replaces hundreds of lines of complex Python with simple, one-line commands.
• 🌍 Omnivorous Data Loader: Natively supports all major file types for training data (MP4, JPG, CSV, EXCEL, JSON, ZIP, etc.) from both local files and URLs.
• 🧠 Auto-Sketched Models: Automatically designs and optimizes the Neural Network architecture (number of neurons and layers) based on the size and richness of your training data.
• 💬 Rich Text Output (MDP): Models automatically respond in Markdown, which CAIF instantly converts into clean HTML (for websites) or runnable Python Code (for rich-text apps).
• 🌐 Specialized Builders: Includes powerful shortcuts like CAIF.WEB_CHATBOT() for rapid, customizable web application creation.

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🛠️ Installation

CAIF is published on PyPI and is easy to install using Python's package installer, pip.

pip install caif-framework

💡 Quick Start Example

This example shows how to train an AI to predict a value from a simple spreadsheet (CSV) and generate a rich report:

from caif import CAIF

# 1. DATA: Load your data from a URL or file, and specify the column to predict.
# CAIF automatically handles cleaning, formatting, and converting data to "special numbers."
CAIF.DATA(
    source="[https://data.com/house_prices.csv](https://data.com/house_prices.csv)",
    type="csv",
    target_column="Sale_Price"
)

# 2. MODEL: Tell CAIF what kind of AI to build. Complexity (1-10) suggests the size.
# CAIF automatically designs the best Neural Network structure.
CAIF.MODEL(
    type="housing_predictor", 
    complexity=7, 
    time_limit="15m"
)

# 3. ANALYZE (Shortcut): Generates a full performance report of the model.
# The AI generates a Markdown report about its accuracy and key features.
CAIF.ANALYZE(focus="report")

# 4. OUTPUT: Save the final Markdown report as a clean HTML file.
# CAIF's MDP converts the rich text Markdown into HTML code.
CAIF.OUTPUT(target="HTML", save_as="house_price_analysis.html")

💬 Specialized Web Chatbot Example

Build and style a fully interactive, pirate-themed chatbot interface with one command:

CAIF.WEB_CHATBOT(
    personality="funny, pirate-themed",
    data_source="C:/MyFiles/pirate_dialogue.jsonl",
    interface="HTML, CSS, JS",
    look_spec="window: wood texture; font: italic gold"
)