from synthetic_dataset_generator._tabbedinterface import TabbedInterface # from synthetic_dataset_generator.apps.eval import app as eval_app from synthetic_dataset_generator.apps.readme import app as readme_app from synthetic_dataset_generator.apps.sft import app as sft_app from synthetic_dataset_generator.apps.textcat import app as textcat_app theme = "argilla/argilla-theme" css = """ .main_ui_logged_out{opacity: 0.3; pointer-events: none} button[role="tab"][aria-selected="true"] { border: 0; background: var(--button-primary-background-fill); color: white; border-top-right-radius: var(--radius-md); border-top-left-radius: var(--radius-md)} button[role="tab"][aria-selected="true"]:hover {border-color: var(--button-primary-background-fill); background: var(var(--button-primary-background-fill-hover))} .tabitem { border: 0; padding-inline: 0} .gallery-item {background: var(--background-fill-secondary); text-align: left} #system_prompt_examples { color: var(--body-text-color) !important; background-color: var(--block-background-fill) !important;} .container {padding-inline: 0 !important} #sign_in_button { flex-grow: 0; width: auto !important; display: flex; align-items: center; justify-content: center; margin: 0 auto; } """ image = """
Synthetic Data Generator Logo""" demo = TabbedInterface( [textcat_app, sft_app, readme_app], ["Text Classification", "Supervised Fine-Tuning", "README"], css=css, title=image, theme=theme, ) if __name__ == "__main__": demo.launch()