Script_automation.py

import os

# Define the directory structure
project_structure = {
    "notebooks": [
        "data_analysis.ipynb",
        "model_training.ipynb",
        "model_evaluation.ipynb"
    ],
    "models": [
        "trained_model.pkl"
    ],
    "data": [
        "sample_dataset.csv",
        "processed_data.csv"
    ],
    "scripts": [
        "preprocess_data.py",
        "train_model.py",
        "evaluate_model.py"
    ],
}

# Base project directory
base_dir = "ai_model_integration"

# Create directories and files
for folder, files in project_structure.items():
    folder_path = os.path.join(base_dir, folder)
    os.makedirs(folder_path, exist_ok=True)
    for file in files:
        file_path = os.path.join(folder_path, file)
        if not os.path.exists(file_path):
            with open(file_path, "w") as f:
                # Add placeholder content based on file type
                if file.endswith(".ipynb"):
                    f.write('{\n "cells": [],\n "metadata": {},\n "nbformat": 4,\n "nbformat_minor": 5\n}')
                elif file.endswith(".py"):
                    f.write("# Placeholder for " + file)
                elif file.endswith(".csv"):
                    f.write("column1,column2,column3\nvalue1,value2,value3\n")
                elif file.endswith(".pkl"):
                    pass  # Placeholder for binary files, leave empty

# Create a README.md file
readme_path = os.path.join(base_dir, "README.md")
if not os.path.exists(readme_path):
    with open(readme_path, "w") as f:
        f.write("# AI Model Integration Project\n\nThis project contains the necessary files and structure for AI model integration.")

print(f"Project structure created at {os.path.abspath(base_dir)}")