app.py

import gradio as gr
import pandas as pd


df_overall = pd.read_csv('content/overall.csv')
df_overall_clear = pd.DataFrame([['' for i in range(11)]],columns=df_overall.columns)
df_untrained = pd.read_csv('content/untrained.csv')
df_untrained_clear = pd.DataFrame([['' for i in range(9)]],columns=df_untrained.columns)
df_trained = pd.read_csv('content/trained.csv')
df_trained_clear = pd.DataFrame([['' for i in range(9)]],columns=df_trained.columns)

def add_data(input, output):
  return pd.concat([input,output])
def refresh_overall():
  return df_overall
def refresh_untrained():
  return df_untrained
def refresh_trained():
  return df_trained

with gr.Blocks() as demo:
  gr.Markdown(value="Welcome to PTBench! Here are some results of our experiments. If you want to use PTBench to test your own model, please visit [our github repo](https://github.com/hyfshadow/PTBench) for further instruction. You can enter your results and compare with these models below.", container=False)
  with gr.Tab("Overall"):
    output = gr.Dataframe(value=df_overall, interactive=False, show_search="search")
    gr.Textbox(value="input your model's performace below and compare with other models!", container=False)
    input = gr.Dataframe(value=df_overall_clear, col_count=(11,"fixed"))
    btn = gr.Button("update")
    btn.click(fn=add_data, inputs=[input, output], outputs=output)
    btn = gr.Button("reset")
    btn.click(fn=refresh_overall, inputs=None, outputs=output)


  with gr.Tab("Untrained"):
    output = gr.Dataframe(value=df_untrained, interactive=False, show_search="search")
    gr.Textbox(value="input your model's performace below and compare with other models!", container=False)
    input = gr.Dataframe(value=df_untrained_clear, col_count=(9,"fixed"))
    btn = gr.Button("update")
    btn.click(fn=add_data, inputs=[input, output], outputs=output)
    btn = gr.Button("reset")
    btn.click(fn=refresh_untrained, inputs=None, outputs=output)

  with gr.Tab("Trained"):
    output = gr.Dataframe(value=df_trained, interactive=False, show_search="search")
    gr.Textbox(value="input your model's performace below and compare with other models!", container=False)
    input = gr.Dataframe(value=df_trained_clear, col_count=(9,"fixed"))
    btn = gr.Button("update")
    btn.click(fn=add_data, inputs=[input, output], outputs=output)
    btn = gr.Button("reset")
    btn.click(fn=refresh_trained, inputs=None, outputs=output)

demo.launch()