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"""
Gradio UI Components Module
Contains all Gradio interface component definitions and layouts
"""
import gradio as gr
from acestep.gradio_ui.i18n import get_i18n, t
from acestep.gradio_ui.interfaces.dataset import create_dataset_section
from acestep.gradio_ui.interfaces.generation import create_generation_section
from acestep.gradio_ui.interfaces.result import create_results_section
from acestep.gradio_ui.interfaces.training import create_training_section
from acestep.gradio_ui.events import setup_event_handlers, setup_training_event_handlers
def create_gradio_interface(dit_handler, llm_handler, dataset_handler, init_params=None, language='en') -> gr.Blocks:
"""
Create Gradio interface
Args:
dit_handler: DiT handler instance
llm_handler: LM handler instance
dataset_handler: Dataset handler instance
init_params: Dictionary containing initialization parameters and state.
If None, service will not be pre-initialized.
language: UI language code ('en', 'zh', 'ja', default: 'en')
Returns:
Gradio Blocks instance
"""
# Initialize i18n with selected language
i18n = get_i18n(language)
with gr.Blocks(
title=t("app.title"),
theme=gr.themes.Soft(),
css="""
.main-header {
text-align: center;
margin-bottom: 2rem;
}
.section-header {
background: linear-gradient(90deg, #4CAF50, #45a049);
color: white;
padding: 10px;
border-radius: 5px;
margin: 10px 0;
}
.lm-hints-row {
align-items: stretch;
}
.lm-hints-col {
display: flex;
}
.lm-hints-col > div {
flex: 1;
display: flex;
}
.lm-hints-btn button {
height: 100%;
width: 100%;
}
"""
) as demo:
gr.HTML(f"""
<div class="main-header">
<h1>{t("app.title")}</h1>
<p>{t("app.subtitle")}</p>
</div>
""")
# Dataset Explorer Section
dataset_section = create_dataset_section(dataset_handler)
# Generation Section (pass init_params and language to support pre-initialization)
generation_section = create_generation_section(dit_handler, llm_handler, init_params=init_params, language=language)
# Results Section
results_section = create_results_section(dit_handler)
# Training Section (LoRA training and dataset builder)
# Pass init_params to support hiding in service mode
training_section = create_training_section(dit_handler, llm_handler, init_params=init_params)
# Connect event handlers
setup_event_handlers(demo, dit_handler, llm_handler, dataset_handler, dataset_section, generation_section, results_section)
# Connect training event handlers
setup_training_event_handlers(demo, dit_handler, llm_handler, training_section)
return demo
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