kohya_ss/kohya_gui/class_folders.py

import gradio as gr
import os
from .common_gui import get_folder_path, scriptdir, list_dirs, create_refresh_button, load_kohya_ss_gui_config

class Folders:
    """
    A class to handle folder operations in the GUI.
    """
    def __init__(self, finetune: bool = False, headless: bool = False):
        """
        Initialize the Folders class.

        Parameters:
        - finetune (bool): Whether to finetune the model.
        - headless (bool): Whether to run in headless mode.
        """
        self.headless = headless
        self.finetune = finetune
        
        # Load kohya_ss GUI configs from config.toml if it exist
        config = load_kohya_ss_gui_config()

        # Set default directories if not provided
        self.current_output_dir = config.get('output_dir', os.path.join(scriptdir, "outputs"))
        self.current_logging_dir = config.get('logging_dir', os.path.join(scriptdir, "logs"))
        self.current_reg_data_dir = config.get('reg_data_dir', os.path.join(scriptdir, "reg"))

        # Create directories if they don't exist
        self.create_directory_if_not_exists(self.current_output_dir)
        self.create_directory_if_not_exists(self.current_logging_dir)
        
        # Create the GUI for folder selection
        self.create_folders_gui()

    def create_directory_if_not_exists(self, directory: str) -> None:
        """
        Create a directory if it does not exist.

        Parameters:
        - directory (str): The directory to create.
        """
        if directory is not None and directory.strip() != "" and not os.path.exists(directory):
            os.makedirs(directory, exist_ok=True)


    def list_output_dirs(self, path: str) -> list:
        """
        List directories in the output directory.

        Parameters:
        - path (str): The path to list directories from.

        Returns:
        - list: A list of directories.
        """
        self.current_output_dir = path if not path == "" else "."
        return list(list_dirs(path))

    def list_logging_dirs(self, path: str) -> list:
        """
        List directories in the logging directory.

        Parameters:
        - path (str): The path to list directories from.

        Returns:
        - list: A list of directories.
        """
        self.current_logging_dir = path if not path == "" else "."
        return list(list_dirs(path))

    def list_reg_data_dirs(self, path: str) -> list:
        """
        List directories in the regularization data directory.

        Parameters:
        - path (str): The path to list directories from.

        Returns:
        - list: A list of directories.
        """
        self.current_reg_data_dir = path if not path == "" else "."
        return list(list_dirs(path))

    def create_folders_gui(self) -> None:
        """
        Create the GUI for folder selection.
        """
        with gr.Row():
            # Output directory dropdown
            self.output_dir = gr.Dropdown(
                label=f'Output directory for trained model',
                choices=[""] + self.list_output_dirs(self.current_output_dir),
                value="",
                interactive=True,
                allow_custom_value=True,
            )
            # Refresh button for output directory
            create_refresh_button(self.output_dir, lambda: None, lambda: {"choices": [""] + self.list_output_dirs(self.current_output_dir)}, "open_folder_small")
            # Output directory button
            self.output_dir_folder = gr.Button(
                '📂', elem_id='open_folder_small', elem_classes=["tool"], visible=(not self.headless)
            )
            # Output directory button click event
            self.output_dir_folder.click(
                get_folder_path,
                outputs=self.output_dir,
                show_progress=False,
            )

            # Regularisation directory dropdown
            self.reg_data_dir = gr.Dropdown(
                label='Regularisation directory (Optional. containing regularisation images)' if not self.finetune else 'Train config directory (Optional. where config files will be saved)',
                choices=[""] + self.list_reg_data_dirs(self.current_reg_data_dir),
                value="",
                interactive=True,
                allow_custom_value=True,
            )
            # Refresh button for regularisation directory
            create_refresh_button(self.reg_data_dir, lambda: None, lambda: {"choices": [""] + self.list_reg_data_dirs(self.current_reg_data_dir)}, "open_folder_small")
            # Regularisation directory button
            self.reg_data_dir_folder = gr.Button(
                '📂', elem_id='open_folder_small', elem_classes=["tool"], visible=(not self.headless)
            )
            # Regularisation directory button click event
            self.reg_data_dir_folder.click(
                get_folder_path,
                outputs=self.reg_data_dir,
                show_progress=False,
            )
        with gr.Row():
            # Logging directory dropdown
            self.logging_dir = gr.Dropdown(
                label='Logging directory (Optional. to enable logging and output Tensorboard log)',
                choices=[""] + self.list_logging_dirs(self.current_logging_dir),
                value="",
                interactive=True,
                allow_custom_value=True,
            )
            # Refresh button for logging directory
            create_refresh_button(self.logging_dir, lambda: None, lambda: {"choices": [""] + self.list_logging_dirs(self.current_logging_dir)}, "open_folder_small")
            # Logging directory button
            self.logging_dir_folder = gr.Button(
                '📂', elem_id='open_folder_small', elem_classes=["tool"], visible=(not self.headless)
            )
            # Logging directory button click event
            self.logging_dir_folder.click(
                get_folder_path,
                outputs=self.logging_dir,
                show_progress=False,
            )

            # Change event for output directory dropdown
            self.output_dir.change(
                fn=lambda path: gr.Dropdown(choices=[""] + self.list_output_dirs(path)),
                inputs=self.output_dir,
                outputs=self.output_dir,
                show_progress=False,
            )
            # Change event for regularisation directory dropdown
            self.reg_data_dir.change(
                fn=lambda path: gr.Dropdown(choices=[""] + self.list_reg_data_dirs(path)),
                inputs=self.reg_data_dir,
                outputs=self.reg_data_dir,
                show_progress=False,
            )
            # Change event for logging directory dropdown
            self.logging_dir.change(
                fn=lambda path: gr.Dropdown(choices=[""] + self.list_logging_dirs(path)),
                inputs=self.logging_dir,
                outputs=self.logging_dir,
                show_progress=False,
            )