import gradio as gr
import pandas as pd

from utils import *

block = gr.Blocks()

with block:
    gr.Markdown(
        LEADERBORAD_INTRODUCTION
    )
    with gr.Tabs(elem_classes="tab-buttons") as tabs:
        # Table 0
        with gr.TabItem("📊 TheoremQA", elem_id="theoremqa-tab-table1", id=1):
            with gr.Row():
                with gr.Accordion("Citation", open=False):
                    citation_button = gr.Textbox(
                        value=CITATION_BUTTON_TEXT,
                        label=CITATION_BUTTON_LABEL,
                        elem_id="citation-button",
                        lines=6,
                    )
            gr.Markdown(
                TABLE_INTRODUCTION
            )

            gr.components.Dataframe(
                value=pd.read_csv(CSV_DIR), 
                headers=COLUMN_NAMES,
                type="pandas", 
                datatype=DATA_TITILE_TYPE,
                interactive=False,
                visible=True,
                )

        with gr.TabItem("📝 About", elem_id="theoremqa-tab-table2", id=2):
            gr.Markdown(LEADERBORAD_INFO, elem_classes="markdown-text")
        
        # table 3 
        # with gr.TabItem("🚀 Submit here! ", elem_id="mtheoremqa-tab-table", id=3):
        #     gr.Markdown(LEADERBORAD_INTRODUCTION, elem_classes="markdown-text")

        #     with gr.Row():
        #         gr.Markdown(SUBMIT_INTRODUCTION, elem_classes="markdown-text")

        #     with gr.Row():
        #         gr.Markdown("# ✉️✨ Submit your model evaluation json file here!", elem_classes="markdown-text")

        #     with gr.Row():
        #         with gr.Column():
        #             model_name_textbox = gr.Textbox(
        #                 label="Model name", placeholder="LaVie"
        #                 )
        #             revision_name_textbox = gr.Textbox(
        #                 label="Revision Model Name", placeholder="LaVie"
        #             )

        #         with gr.Column():
        #             model_link = gr.Textbox(
        #                 label="Model Link", placeholder="https://huggingface.co./decapoda-research/llama-7b-hf"
        #             )


            # with gr.Column():

            #     input_file = gr.components.File(label = "Click to Upload a json File", file_count="single", type='binary')
            #     submit_button = gr.Button("Submit Eval")
    
            #     submission_result = gr.Markdown()
            #     submit_button.click(
            #         add_new_eval,
            #         inputs = [
            #             input_file,
            #             model_name_textbox,
            #             revision_name_textbox,
            #             model_link,
            #         ],
            #     )


    # def refresh_data():
    #     value1 = get_baseline_df()
    #     return value1

    # with gr.Row():
    #     data_run = gr.Button("Refresh")
    #     data_run.click(on_filter_model_size_method_change, inputs=[checkbox_group], outputs=data_component)


block.launch()