comparator / app.py
albertvillanova's picture
Fix latest_result_path_per_model variable and refactor
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from functools import partial
import gradio as gr
from src.constants import SUBTASKS, TASKS
from src.details import update_subtasks_component, update_load_details_component, load_details_dataframes, \
display_details, update_sample_idx_component, clear_details
from src.results import update_load_results_component, \
load_results_dataframes, display_results, update_tasks_component, clear_results, \
filter_latest_result_path_per_model, fetch_result_paths
# if __name__ == "__main__":
latest_result_path_per_model = filter_latest_result_path_per_model(fetch_result_paths())
load_results_dataframes = partial(load_results_dataframes, result_path_per_model=latest_result_path_per_model)
with gr.Blocks(fill_height=True) as demo:
gr.HTML("<h1 style='text-align: center;'>Compare Results of the 🤗 Open LLM Leaderboard</h1>")
gr.HTML("<h3 style='text-align: center;'>Select 2 models to load and compare their results</h3>")
with gr.Row():
with gr.Column():
model_id_1 = gr.Dropdown(choices=list(latest_result_path_per_model.keys()), label="Models")
dataframe_1 = gr.Dataframe(visible=False)
with gr.Column():
model_id_2 = gr.Dropdown(choices=list(latest_result_path_per_model.keys()), label="Models")
dataframe_2 = gr.Dataframe(visible=False)
with gr.Row():
# with gr.Tab("All"):
# pass
with gr.Tab("Results"):
task = gr.Radio(
["All"] + list(TASKS.values()),
label="Tasks",
info="Evaluation tasks to be displayed",
value="All",
interactive=False,
)
load_results_btn = gr.Button("Load Results", interactive=False)
clear_results_btn = gr.Button("Clear Results")
with gr.Tab("Results"):
results = gr.HTML()
with gr.Tab("Configs"):
configs = gr.HTML()
with gr.Tab("Details"):
details_task = gr.Radio(
["All"] + list(TASKS.values()),
label="Tasks",
info="Evaluation tasks to be displayed",
value="All",
interactive=True,
)
subtask = gr.Radio(
SUBTASKS.get(details_task.value),
label="Subtasks",
info="Evaluation subtasks to be displayed (choose one of the Tasks above)",
)
load_details_btn = gr.Button("Load Details", interactive=False)
clear_details_btn = gr.Button("Clear Details")
sample_idx = gr.Number(
label="Sample Index",
info="Index of the sample to be displayed",
value=0,
minimum=0,
visible=False
)
details = gr.HTML()
details_dataframe_1 = gr.Dataframe(visible=False)
details_dataframe_2 = gr.Dataframe(visible=False)
details_dataframe = gr.DataFrame(visible=False)
model_id_1.change(
fn=update_load_results_component,
outputs=load_results_btn,
)
load_results_btn.click(
fn=load_results_dataframes,
inputs=[model_id_1, model_id_2],
outputs=[dataframe_1, dataframe_2],
).then(
fn=update_tasks_component,
outputs=task,
)
gr.on(
triggers=[dataframe_1.change, dataframe_2.change, task.change],
fn=display_results,
inputs=[task, dataframe_1, dataframe_2],
outputs=[results, configs],
)
clear_results_btn.click(
fn=clear_results,
outputs=[model_id_1, model_id_2, dataframe_1, dataframe_2, task],
)
details_task.change(
fn=update_subtasks_component,
inputs=details_task,
outputs=subtask,
)
gr.on(
triggers=[model_id_1.change, model_id_2.change, subtask.change, details_task.change],
fn=update_load_details_component,
inputs=[model_id_1, model_id_2, subtask],
outputs=load_details_btn,
)
load_details_btn.click(
fn=load_details_dataframes,
inputs=[subtask, model_id_1, model_id_2],
outputs=[details_dataframe_1, details_dataframe_2],
).then(
fn=update_sample_idx_component,
inputs=[details_dataframe_1, details_dataframe_2],
outputs=sample_idx,
)
gr.on(
triggers=[details_dataframe_1.change, details_dataframe_2.change, sample_idx.change],
fn=display_details,
inputs=[sample_idx, details_dataframe_1, details_dataframe_2],
outputs=details,
)
clear_details_btn.click(
fn=clear_details,
outputs=[model_id_1, model_id_2, details_dataframe_1, details_dataframe_2, details_task, subtask, sample_idx],
)
demo.launch()