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import gradio as gr | |
from ..globals import Global | |
from ..models import get_model_with_lora | |
from .inference_ui import inference_ui | |
from .finetune_ui import finetune_ui | |
from .tokenizer_ui import tokenizer_ui | |
from .js_scripts import popperjs_core_code, tippy_js_code | |
def main_page(): | |
title = get_page_title() | |
with gr.Blocks( | |
title=title, | |
css=main_page_custom_css(), | |
) as main_page_blocks: | |
with gr.Column(elem_id="main_page_content"): | |
gr.Markdown(f""" | |
<h1 class="app_title_text">{title}</h1> <wbr /> | |
<h2 class="app_subtitle_text">{Global.ui_subtitle}</h2> | |
""") | |
with gr.Tab("Inference"): | |
inference_ui() | |
with gr.Tab("Fine-tuning"): | |
finetune_ui() | |
with gr.Tab("Tokenizer"): | |
tokenizer_ui() | |
info = [] | |
if Global.version: | |
info.append(f"LLaMA-LoRA Tuner `{Global.version}`") | |
info.append(f"Base model: `{Global.base_model}`") | |
if Global.ui_show_sys_info: | |
info.append(f"Data dir: `{Global.data_dir}`") | |
gr.Markdown(f""" | |
<small>{" · ".join(info)}</small> | |
""") | |
main_page_blocks.load(_js=f""" | |
function () {{ | |
{popperjs_core_code()} | |
{tippy_js_code()} | |
""" + """ | |
// Sync theme to body. | |
setTimeout(function () { | |
const gradio_container_element = document.querySelector( | |
".gradio-container" | |
); | |
function handle_gradio_container_element_class_change() { | |
if (Array.from(gradio_container_element.classList).includes("dark")) { | |
document.body.classList.add("dark"); | |
} else { | |
document.body.classList.remove("dark"); | |
} | |
} | |
new MutationObserver(function (mutationsList, observer) { | |
handle_gradio_container_element_class_change(); | |
}).observe(gradio_container_element, { | |
attributes: true, | |
attributeFilter: ["class"], | |
}); | |
handle_gradio_container_element_class_change(); | |
}, 500); | |
} | |
""") | |
def get_page_title(): | |
title = Global.ui_title | |
if (Global.ui_dev_mode): | |
title = Global.ui_dev_mode_title_prefix + title | |
if (Global.ui_emoji): | |
title = f"{Global.ui_emoji} {title}" | |
return title | |
def main_page_custom_css(): | |
css = """ | |
/* to make position stick work */ | |
.gradio-container { | |
overflow-x: initial !important; | |
overflow-y: clip !important; | |
} | |
.app_title_text { | |
display: inline-block; | |
margin-right: 0.5em !important; | |
} | |
.app_subtitle_text { | |
display: inline-block; | |
margin-top: 0 !important; | |
font-weight: 100 !important; | |
font-size: var(--text-md) !important; | |
} | |
.tippy-box { | |
background-color: var(--block-background-fill); | |
border: 1px solid var(--border-color-primary); | |
border-radius: 4px; | |
box-shadow: 0 2px 20px rgba(5,5,5,.08); | |
} | |
.tippy-arrow { | |
color: var(--block-background-fill); | |
} | |
.tippy-content { | |
color: var(--block-label-text-color); | |
font-family: var(--font); | |
font-weight: 100; | |
} | |
/* | |
.codemirror-wrapper .cm-editor .cm-gutters { | |
background-color: var(--background-fill-secondary); | |
} | |
*/ | |
.error-message, .error-message p { | |
color: var(--error-text-color) !important; | |
} | |
.textbox_that_is_only_used_to_display_a_label { | |
border: 0 !important; | |
box-shadow: none !important; | |
padding: 0 !important; | |
} | |
.textbox_that_is_only_used_to_display_a_label textarea { | |
display: none; | |
} | |
#main_page_content > .tabs > .tab-nav * { | |
font-size: 1rem; | |
font-weight: 700; | |
/* text-transform: uppercase; */ | |
} | |
#inference_lora_model_group { | |
border-radius: var(--block-radius); | |
background: var(--block-background-fill); | |
} | |
#inference_lora_model_group #inference_lora_model { | |
background: transparent; | |
} | |
#inference_lora_model_prompt_template_message:not(.hidden) + #inference_lora_model { | |
padding-bottom: 28px; | |
} | |
#inference_lora_model_group > #inference_lora_model_prompt_template_message { | |
position: absolute; | |
bottom: 8px; | |
left: 20px; | |
z-index: 1; | |
font-size: 12px; | |
opacity: 0.7; | |
} | |
#inference_lora_model_group > #inference_lora_model_prompt_template_message p { | |
font-size: 12px; | |
} | |
#inference_lora_model_prompt_template_message > .wrap { | |
display: none; | |
} | |
#inference_lora_model > .wrap:first-child:not(.hide), | |
#inference_prompt_template > .wrap:first-child:not(.hide) { | |
opacity: 0.5; | |
} | |
#inference_lora_model_group, #inference_lora_model { | |
z-index: 60; | |
} | |
#inference_prompt_template { | |
z-index: 55; | |
} | |
#inference_prompt_box > *:first-child { | |
border-bottom-left-radius: 0; | |
border-bottom-right-radius: 0; | |
} | |
#inference_prompt_box > *:last-child { | |
margin-top: -16px; | |
border-top: 0; | |
border-top-left-radius: 0; | |
border-top-right-radius: 0; | |
} | |
#inference_prompt_box { | |
flex-grow: 0 !important; | |
} | |
#inference_options_accordion { | |
padding: 0; | |
} | |
#inference_options_accordion > .label-wrap { | |
user-select: none; | |
padding: var(--block-padding); | |
margin-bottom: 0; | |
} | |
#inference_options_accordion > *:last-child > .form { | |
border-left: 0; | |
border-right: 0; | |
border-bottom: 0; | |
border-top-left-radius: 0; | |
border-top-right-radius: 0; | |
box-shadow: none; | |
} | |
.inference_options_group { | |
margin-top: -16px; | |
margin-bottom: -16px; | |
} | |
.inference_options_group > .form { | |
border-radius: 0; | |
border-left: 0; | |
border-right: 0; | |
border-bottom: 0; | |
box-shadow: none; | |
} | |
#inference_options_bottom_group { | |
margin-top: -12px; | |
} | |
#inference_options_bottom_group > .form { | |
border-top-left-radius: 0; | |
border-top-right-radius: 0; | |
border-left: 0; | |
border-right: 0; | |
border-bottom: 0; | |
} | |
#inference_output > .wrap:first-child, | |
#inference_raw_output > .wrap:first-child { | |
/* allow users to select text while generation is still in progress */ | |
pointer-events: none; | |
} | |
/* position sticky */ | |
#inference_output_group_container { | |
display: block; | |
} | |
#inference_output_group { | |
position: -webkit-sticky; | |
position: sticky; | |
top: 16px; | |
bottom: 16px; | |
} | |
#dataset_plain_text_input_variables_separator textarea, | |
#dataset_plain_text_input_and_output_separator textarea, | |
#dataset_plain_text_data_separator textarea { | |
font-family: var(--font-mono); | |
} | |
#dataset_plain_text_input_and_output_separator, | |
#dataset_plain_text_data_separator { | |
margin-top: -8px; | |
} | |
#finetune_dataset_text_load_sample_button { | |
margin: -4px 12px 8px; | |
} | |
#inference_preview_prompt_container .label-wrap { | |
user-select: none; | |
} | |
#inference_preview_prompt { | |
padding: 0; | |
} | |
#inference_preview_prompt textarea { | |
border: 0; | |
} | |
#inference_preview_prompt > .wrap { | |
pointer-events: none; | |
background: transparent; | |
opacity: 0.8; | |
} | |
#inference_update_prompt_preview_btn { | |
position: absolute; | |
z-index: 1; | |
right: 0; | |
bottom: 0; | |
width: 32px; | |
border-top-right-radius: 0; | |
border-bottom-left-radius: 0; | |
box-shadow: none; | |
opacity: 0.8; | |
} | |
#finetune_reload_selections_button { | |
position: absolute; | |
top: 0; | |
right: 0; | |
margin: 16px; | |
margin-bottom: auto; | |
height: 42px !important; | |
min-width: 42px !important; | |
width: 42px !important; | |
z-index: 1; | |
} | |
#finetune_dataset_from_data_dir { | |
border: 0; | |
box-shadow: none; | |
} | |
@media screen and (min-width: 640px) { | |
#inference_lora_model, #inference_lora_model_group, | |
#finetune_template { | |
border-top-right-radius: 0; | |
border-bottom-right-radius: 0; | |
border-right: 0; | |
margin-right: -16px; | |
} | |
#inference_lora_model_group #inference_lora_model { | |
box-shadow: var(--block-shadow); | |
} | |
#inference_prompt_template { | |
border-top-left-radius: 0; | |
border-bottom-left-radius: 0; | |
border-left: 0; | |
margin-right: -90px; | |
padding-right: 80px; | |
} | |
#finetune_template + * { | |
border-top-left-radius: 0; | |
border-bottom-left-radius: 0; | |
border-left: 0; | |
margin-right: -90px; | |
} | |
#finetune_template + * > * { | |
padding-right: 80px; | |
} | |
#inference_reload_selections_button, #finetune_reload_selections_button { | |
position: relative; | |
margin: 16px; | |
margin-bottom: auto; | |
height: 42px !important; | |
min-width: 42px !important; | |
width: 42px !important; | |
z-index: 61; | |
} | |
} | |
#finetune_ui_content > .tabs > .tab-nav::before { | |
content: "Training Dataset:"; | |
display: flex; | |
justify-content: center; | |
align-items: center; | |
padding-right: 12px; | |
padding-left: 8px; | |
} | |
#finetune_template, | |
#finetune_template + * { | |
border: 0; | |
box-shadow: none; | |
} | |
#finetune_dataset_text_input_group .form { | |
border: 0; | |
box-shadow: none; | |
padding: 0; | |
} | |
#finetune_dataset_text_input_textbox > .wrap:last-of-type { | |
margin-top: -20px; | |
} | |
#finetune_dataset_plain_text_separators_group * { | |
font-size: 0.8rem; | |
} | |
#finetune_dataset_plain_text_separators_group textarea { | |
height: auto !important; | |
} | |
#finetune_dataset_plain_text_separators_group > .form { | |
gap: 0 !important; | |
} | |
#finetune_dataset_from_text_message p, | |
#finetune_dataset_from_text_message + * p { | |
font-size: 80%; | |
} | |
#finetune_dataset_from_text_message, | |
#finetune_dataset_from_text_message *, | |
#finetune_dataset_from_text_message + *, | |
#finetune_dataset_from_text_message + * * { | |
display: inline; | |
} | |
#finetune_dataset_from_data_dir_message, | |
#finetune_dataset_from_data_dir_message * { | |
min-height: 0 !important; | |
} | |
#finetune_dataset_from_data_dir_message { | |
margin: -20px 24px 0; | |
font-size: 0.8rem; | |
} | |
#finetune_dataset_from_text_message > .wrap > *:first-child, | |
#finetune_dataset_from_data_dir_message > .wrap > *:first-child { | |
display: none; | |
} | |
#finetune_dataset_from_data_dir_message > .wrap { | |
top: -18px; | |
} | |
#finetune_dataset_from_text_message > .wrap svg, | |
#finetune_dataset_from_data_dir_message > .wrap svg { | |
margin: -32px -16px; | |
} | |
.finetune_dataset_error_message { | |
color: var(--error-text-color) !important; | |
} | |
#finetune_dataset_preview_info_message { | |
align-items: flex-end; | |
flex-direction: row; | |
display: flex; | |
margin-bottom: -4px; | |
} | |
#finetune_dataset_preview td { | |
white-space: pre-wrap; | |
} | |
@media screen and (max-width: 392px) { | |
#inference_lora_model, #finetune_template { | |
border-bottom-left-radius: 0; | |
border-bottom-right-radius: 0; | |
} | |
#inference_prompt_template, #finetune_template + * { | |
border-top-left-radius: 0; | |
border-top-right-radius: 0; | |
border-top: 0; | |
margin-top: -16px; | |
} | |
} | |
/* | |
#tokenizer_encoded_tokens_input_textbox .codemirror-wrapper, | |
#tokenizer_decoded_text_input_textbox .codemirror-wrapper { | |
margin-bottom: -20px; | |
} | |
*/ | |
#tokenizer_encoded_tokens_input_textbox, | |
#tokenizer_decoded_text_input_textbox { | |
overflow: hidden !important; | |
} | |
/* in case if there's too many logs on the previous run and made the box too high */ | |
#finetune_training_status:has(.wrap:not(.hide)) { | |
max-height: 160px; | |
height: 160px; | |
} | |
.foot_stop_timeoutable_btn { | |
align-self: flex-end; | |
border: 0 !important; | |
width: auto !important; | |
background: transparent !important; | |
box-shadow: none !important; | |
padding: 0 !important; | |
font-weight: 100 !important; | |
font-size: 80% !important; | |
text-decoration: underline; | |
opacity: 0.3; | |
} | |
.foot_stop_timeoutable_btn:hover { | |
opacity: 0.8; | |
} | |
.foot_stop_timeoutable_btn:active { | |
opacity: 1; | |
} | |
.tippy-box[data-animation=scale-subtle][data-placement^=top]{transform-origin:bottom}.tippy-box[data-animation=scale-subtle][data-placement^=bottom]{transform-origin:top}.tippy-box[data-animation=scale-subtle][data-placement^=left]{transform-origin:right}.tippy-box[data-animation=scale-subtle][data-placement^=right]{transform-origin:left}.tippy-box[data-animation=scale-subtle][data-state=hidden]{transform:scale(.8);opacity:0} | |
""" | |
return css | |