keeya 1.0.5

keeya.py - AI-Powered Python Code Generation

🚀 keeya.py - AI-Powered Python Code Generation

Transform natural language into executable Python code for data analysis, cleaning, and machine learning.

✨ Features

• 🤖 Natural Language to Code: Generate Python code from plain English
• 🧹 Smart Data Cleaning: Automatically handle missing values, duplicates, and data types
• 📊 Instant Analysis: Get comprehensive statistics and insights
• 📈 Auto Visualizations: Generate relevant plots based on your data
• 🎯 ML Pipeline Generation: Build complete machine learning workflows
• 🔒 Safe & Secure: Review code before execution, powered by Google Gemini

🚀 Quick Start

Installation

pip install keeya

Setup (One-time)

import keeya
keeya.setup()  # Enter your free Gemini API key

Basic Usage

import pandas as pd
import keeya

# Load your data
df = pd.read_csv('data.csv')

# Generate code for any task
code = keeya.generate("create a function to calculate fibonacci numbers")

# Clean your data
cleaned_code = keeya.clean(df)

# Analyze your data  
analysis = keeya.analyze(df)

# Create visualizations
viz_code = keeya.visualize(df)

# Build ML pipeline
ml_code = keeya.train(df, target='target_column')

🎯 Why Keeya?

• Simple: One consistent API across all functions
• Smart: Context-aware code generation based on your actual data
• Safe: Always returns code for you to review and execute
• Free: Powered by Google Gemini's free tier
• Fast: Get results in seconds, not hours

🔑 Getting Your API Key

1. Visit Google AI Studio
2. Click "Create API Key"
3. Copy the key and paste it when running keeya.setup()

📖 Documentation

Run keeya.help() for detailed usage information and examples.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

⚠️ Disclaimer

Keeya generates code using AI. Always review generated code before executing in production environments.