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import gradio as gr
from src.distilabel_dataset_generator.apps.faq import app as faq_app
from src.distilabel_dataset_generator.apps.sft import app as sft_app
theme = gr.themes.Monochrome(
spacing_size="md",
font=[gr.themes.GoogleFont("Inter"), "ui-sans-serif", "system-ui", "sans-serif"],
)
css = """
.main_ui_logged_out{opacity: 0.3; pointer-events: none}
.tabitem{border: 0px}
.group_padding{padding: .55em}
#space_model .wrap > label:last-child{opacity: 0.3; pointer-events:none}
#system_prompt_examples {
color: black;
}
"""
demo = gr.TabbedInterface(
[sft_app, faq_app],
["Supervised Fine-Tuning", "FAQ"],
css=css,
title="""
<style>
@media (max-width: 600px) {
.logo-container { position: static !important; text-align: center; margin-bottom: 20px; }
.title-container { padding-left: 0 !important; }
}
</style>
<div style="position: relative; margin-bottom: 1rem;">
<div class="logo-container" style="position: absolute; top: 0; left: 0;">
<img src="https://distilabel.argilla.io/latest/assets/distilabel-black.svg" alt="Distilabel Logo" style="width: 150px; height: auto;">
</div>
<div class="title-container" style="text-align: center; padding-top: 40px; padding-left: 160px;">
<h1 style="margin: 0; font-size: 2em;">🧶 DataCraft</h1>
<p style="margin: 10px 0 0 0; color: #666; font-size: 1.1em;">Build datasets using natural language</p>
</div>
</div>
""",
theme=theme,
)
if __name__ == "__main__":
demo.launch()
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