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import gradio as gr
from src.assets.text_content import TITLE, INTRODUCTION_TEXT
from src.utils import compare_plots, filter_search, get_csv_data, split_models
############################ For Leaderboards #############################
# Get CSV data
global latest_df, all_dfs, all_vnames
latest_df, all_dfs, all_vnames = get_csv_data()
global prev_df
prev_df = all_dfs[0]
def select_prev_df(name):
ind = all_vnames.index(name)
prev_df = all_dfs[ind]
return prev_df
############################ For Plots ####################################
global plot_df, MODEL_COLS, OPEN_MODELS, COMM_MODELS
plot_df = latest_df[0]
MODEL_COLS = list(plot_df['Model'].unique())
OPEN_MODELS, COMM_MODELS = split_models(MODEL_COLS)
############# MAIN APPLICATION ######################
demo = gr.Blocks()
with demo:
gr.HTML(TITLE)
gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
with gr.Tabs(elem_classes="tab-buttons") as tabs:
with gr.TabItem("🥇 CLEM Leaderboard", elem_id="llm-benchmark-tab-table", id=0):
with gr.Row():
search_bar = gr.Textbox(
placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...",
show_label=False,
elem_id="search-bar",
)
leaderboard_table = gr.components.Dataframe(
value=latest_df[0],
elem_id="leaderboard-table",
interactive=False,
visible=True,
)
# Add a dummy leaderboard to handle search queries from the latest_df and not update latest_df
dummy_leaderboard_table = gr.components.Dataframe(
value=latest_df[0],
elem_id="leaderboard-table",
interactive=False,
visible=False,
)
search_bar.submit(
filter_search,
[dummy_leaderboard_table, search_bar],
leaderboard_table,
queue=True
)
with gr.TabItem("📈 Plot", id=3):
with gr.Row():
open_model_cols = gr.CheckboxGroup(
OPEN_MODELS,
label="Select Models - Open Weight 🌐",
value=[],
elem_id="column-select",
interactive=True,
)
with gr.Row():
comm_model_cols = gr.CheckboxGroup(
COMM_MODELS,
label="Select Models - Closed Weight 💼",
value=[],
elem_id="column-select-2",
interactive=True,
)
with gr.Row():
plot_grdf = gr.DataFrame(
value=plot_df,
visible=False
)
with gr.Row():
# Output block for the plot
plot_output = gr.Plot()
open_model_cols.change(
compare_plots,
[plot_grdf, open_model_cols, comm_model_cols],
plot_output,
queue=True
)
comm_model_cols.change(
compare_plots,
[plot_grdf, open_model_cols, comm_model_cols],
plot_output,
queue=True
)
with gr.TabItem("🔄 Versions and Details", elem_id="details", id=2):
with gr.Row():
ver_selection = gr.Dropdown(
all_vnames, label="Select Version 🕹️", value=all_vnames[0]
)
with gr.Row():
search_bar_prev = gr.Textbox(
placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...",
show_label=False,
elem_id="search-bar-2",
)
prev_table = gr.components.Dataframe(
value=prev_df,
elem_id="leaderboard-table",
interactive=False,
visible=True,
)
dummy_prev_table = gr.components.Dataframe(
value=prev_df,
elem_id="leaderboard-table",
interactive=False,
visible=False,
)
search_bar_prev.submit(
filter_search,
[dummy_prev_table, search_bar_prev],
prev_table,
queue=True
)
ver_selection.change(
select_prev_df,
[ver_selection],
prev_table,
queue=True
)
demo.load()
demo.queue()
demo.launch() |