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import gradio as gr
from easygui import msgbox
import subprocess
import os
from .common_gui import get_folder_path, add_pre_postfix
from library.custom_logging import setup_logging
# Set up logging
log = setup_logging()
PYTHON = 'python3' if os.name == 'posix' else './venv/Scripts/python.exe'
def caption_images(
train_data_dir,
caption_ext,
batch_size,
max_data_loader_n_workers,
max_length,
model_id,
prefix,
postfix,
):
# Check for images_dir_input
if train_data_dir == '':
msgbox('Image folder is missing...')
return
if caption_ext == '':
msgbox('Please provide an extension for the caption files.')
return
log.info(f'GIT captioning files in {train_data_dir}...')
run_cmd = f'{PYTHON} finetune/make_captions_by_git.py'
if not model_id == '':
run_cmd += f' --model_id="{model_id}"'
run_cmd += f' --batch_size="{int(batch_size)}"'
run_cmd += (
f' --max_data_loader_n_workers="{int(max_data_loader_n_workers)}"'
)
run_cmd += f' --max_length="{int(max_length)}"'
if caption_ext != '':
run_cmd += f' --caption_extension="{caption_ext}"'
run_cmd += f' "{train_data_dir}"'
log.info(run_cmd)
# Run the command
if os.name == 'posix':
os.system(run_cmd)
else:
subprocess.run(run_cmd)
# Add prefix and postfix
add_pre_postfix(
folder=train_data_dir,
caption_file_ext=caption_ext,
prefix=prefix,
postfix=postfix,
)
log.info('...captioning done')
###
# Gradio UI
###
def gradio_git_caption_gui_tab(headless=False):
with gr.Tab('GIT Captioning'):
gr.Markdown(
'This utility will use GIT to caption files for each images in a folder.'
)
with gr.Row():
train_data_dir = gr.Textbox(
label='Image folder to caption',
placeholder='Directory containing the images to caption',
interactive=True,
)
button_train_data_dir_input = gr.Button(
'📂', elem_id='open_folder_small', visible=(not headless)
)
button_train_data_dir_input.click(
get_folder_path,
outputs=train_data_dir,
show_progress=False,
)
with gr.Row():
caption_ext = gr.Textbox(
label='Caption file extension',
placeholder='Extention for caption file. eg: .caption, .txt',
value='.txt',
interactive=True,
)
prefix = gr.Textbox(
label='Prefix to add to BLIP caption',
placeholder='(Optional)',
interactive=True,
)
postfix = gr.Textbox(
label='Postfix to add to BLIP caption',
placeholder='(Optional)',
interactive=True,
)
batch_size = gr.Number(
value=1, label='Batch size', interactive=True
)
with gr.Row():
max_data_loader_n_workers = gr.Number(
value=2, label='Number of workers', interactive=True
)
max_length = gr.Number(
value=75, label='Max length', interactive=True
)
model_id = gr.Textbox(
label='Model',
placeholder='(Optional) model id for GIT in Hugging Face',
interactive=True,
)
caption_button = gr.Button('Caption images')
caption_button.click(
caption_images,
inputs=[
train_data_dir,
caption_ext,
batch_size,
max_data_loader_n_workers,
max_length,
model_id,
prefix,
postfix,
],
show_progress=False,
)
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