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import gradio as gr
from gradio_leaderboard import Leaderboard, SelectColumns, ColumnFilter
from pathlib import Path
from utils import LLM_BENCHMARKS_ABOUT_TEXT, LLM_BENCHMARKS_SUBMIT_TEXT, custom_css, jsonl_to_dataframe, add_average_column_to_df, apply_markdown_format_for_columns, submit
abs_path = Path(__file__).parent
# Any pandas-compatible data
persian_df = jsonl_to_dataframe(str(abs_path / "leaderboard_persian.jsonl"))
base_df = jsonl_to_dataframe(str(abs_path / "leaderboard_base.jsonl"))
all_columns = ["Model", "Average ⬆️", "Precision", "#Params (B)", "Part Multiple Choice", "ARC Easy", "ARC Challenge", "MMLU Pro", "GSM8k Persian", "Multiple Choice Persian"]
columns_to_average = ["Part Multiple Choice", "ARC Easy", "ARC Challenge", "MMLU Pro", "GSM8k Persian", "Multiple Choice Persian"]
base_df = add_average_column_to_df(base_df, columns_to_average, index=3)
persian_df = add_average_column_to_df(persian_df, columns_to_average, index=3)
base_df = apply_markdown_format_for_columns(df=base_df, model_column_name="Model")
persian_df = apply_markdown_format_for_columns(df=persian_df, model_column_name="Model")
columns_data_type = ["markdown" for i in range(len(persian_df.columns))]
# "str", "number", "bool", "date", "markdown"
with gr.Blocks(css=custom_css) as demo:
gr.Markdown("""
# Part LLM Leaderboard
""")
with gr.Tab("🎖️ Persian Leaderboard"):
gr.Markdown("""## Persian LLM Leaderboard
Evaluating Persian Fine-Tuned models
""")
Leaderboard(
value=persian_df,
datatype=columns_data_type,
select_columns=SelectColumns(
default_selection=all_columns,
cant_deselect=["Model"],
label="Select Columns to Show",
),
search_columns=["model_name_for_query"],
hide_columns=["model_name_for_query",],
filter_columns=["Precision", "#Params (B)"],
)
with gr.Tab("🥇 Base Leaderboard"):
gr.Markdown("""## Base LLM Leaderboard
Evaluating Base Models
""")
Leaderboard(
value=base_df,
datatype= columns_data_type,
select_columns=SelectColumns(
default_selection=all_columns,
cant_deselect=["Model"],
label="Select Columns to Show",
),
search_columns=["model_name_for_query"],
hide_columns=["model_name_for_query",],
filter_columns=["Precision", "#Params (B)"],
)
with gr.TabItem("📝 About"):
gr.Markdown(LLM_BENCHMARKS_ABOUT_TEXT)
with gr.Tab("✉️ Submit"):
gr.Markdown(LLM_BENCHMARKS_SUBMIT_TEXT)
model_name = gr.Textbox(label="Model name")
model_id = gr.Textbox(label="username/space e.g PartAI/Dorna-Llama3-8B-Instruct")
contact_email = gr.Textbox(label="Contact E-Mail")
section = gr.Radio(choices=["Persian", "Base"], label="Section")
license = gr.Dropdown(choices=["llama2", "llama3", "llama3.1", "llama3.2", "cc-by-nc-4.0", "mit", "apache-2.0", "gemma", "cc-by-nc-sa-4.0", "other"], label="License")
submit_btn = gr.Button("Submit")
submit_btn.click(submit, inputs=[model_name, model_id, contact_email, section, license], outputs=[])
gr.Markdown("""
Please find more information about Part DP AI on [partdp.ai](https://partdp.ai)""")
if __name__ == "__main__":
demo.launch()
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