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app.py
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import gradio as gr
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from src.distilabel_dataset_generator._tabbedinterface import TabbedInterface
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from src.distilabel_dataset_generator.apps.faq import app as faq_app
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from src.distilabel_dataset_generator.apps.sft import app as sft_app
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from src.distilabel_dataset_generator.apps.textcat import app as textcat_app
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theme ='argilla/argilla-theme'
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css = """
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.main_ui_logged_out{opacity: 0.3; pointer-events: none}
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.tabitem{border: 0px}
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.group_padding{padding: .55em}
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#space_model .wrap > label:last-child{opacity: 0.3; pointer-events:none}
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#system_prompt_examples {
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color: black;
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}
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@media (prefers-color-scheme: dark) {
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#system_prompt_examples {
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color: white;
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background-color: black;
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}
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}
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button[role="tab"].selected,
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button[role="tab"][aria-selected="true"],
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button[role="tab"][data-tab-id][aria-selected="true"] {
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background-color: #000000;
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color: white;
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border: none;
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font-size: 16px;
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font-weight: bold;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
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transition: background-color 0.3s ease, color 0.3s ease;
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}
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.gallery {
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color: black !important;
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}
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@media (prefers-color-scheme: dark) {
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.gallery {
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color: white !important;
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}
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}
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.flex-shrink-0.truncate.px-1 {
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color: black !important;
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}
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@media (prefers-color-scheme: dark) {
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.flex-shrink-0.truncate.px-1 {
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color: white !important;
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}
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}
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"""
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demo = TabbedInterface(
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[textcat_app, sft_app, faq_app],
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["Text Classification", "Supervised Fine-Tuning", "FAQ"],
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css=css,
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title="""
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<h1>Synthetic Data Generator</h1>
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<h3>Build datasets using natural language</h3>
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""",
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head="Synthetic Data Generator",
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theme=theme,
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)
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if __name__ == "__main__":
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demo.launch()
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