run_huggingface_training.py

import os
import sys

def main():
    """
    Main script to run the training process using the Hugging Face dataset.
    """
    print("=== Plant Disease Model Training with Hugging Face Dataset ===")
    
    # First, check if the datasets library is installed
    try:
        import datasets
        print("Hugging Face datasets library is installed.")
    except ImportError:
        print("Error: Hugging Face datasets library is not installed.")
        print("Installing required packages...")
        os.system("pip install datasets")
        print("Please run this script again after installation.")
        sys.exit(1)
    
    # Step 1: Download the PlantVillage dataset from Hugging Face
    print("\nStep 1: Downloading dataset from Hugging Face")
    try:
        import download_huggingface_dataset
        success = download_huggingface_dataset.download_plantvillage_from_huggingface()
        if success:
            print("Dataset downloaded successfully from Hugging Face")
        else:
            print("Failed to download dataset from Hugging Face")
            sys.exit(1)
    except Exception as e:
        print(f"Error during dataset download: {e}")
        sys.exit(1)
    
    # Step 2: Train the model
    print("\nStep 2: Training model with Hugging Face dataset")
    try:
        import train_huggingface_model
        train_huggingface_model.train_model_with_huggingface_data()
    except Exception as e:
        print(f"Error during model training: {e}")
        sys.exit(1)
    
    print("\nTraining completed successfully!")
    print("You can now run the application with 'python app.py'")

if __name__ == "__main__":
    main()