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import gradio as gr
import os
from .common_gui import get_folder_path, scriptdir, list_dirs, create_refresh_button
class Folders:
"""
A class to handle folder operations in the GUI.
"""
def __init__(
self, finetune: bool = False, headless: bool = False, config: dict = {}
):
"""
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
self.config = config
# Set default directories if not provided
self.current_output_dir = self.config.get(
"output_dir", os.path.join(scriptdir, "outputs")
)
self.current_logging_dir = self.config.get(
"logging_dir", os.path.join(scriptdir, "logs")
)
self.current_reg_data_dir = self.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="Output directory for trained model",
choices=[self.config.get("folders.output_dir", "")] + self.list_output_dirs(self.current_output_dir),
value=self.config.get("folders.output_dir", ""),
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.config.get("folders.reg_data_dir", "")] + self.list_reg_data_dirs(self.current_reg_data_dir),
value=self.config.get("folders.reg_data_dir", ""),
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.config.get("folders.logging_dir", "")] + self.list_logging_dirs(self.current_logging_dir),
value=self.config.get("folders.logging_dir", ""),
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,
)
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