app.py

#!/usr/bin/env python

from __future__ import annotations

import gradio as gr

from model_list import ModelList

DESCRIPTION = '# Explore Biomedical Language Models'
NOTES = '''
- Stanford HAI Article, ["The Shaky Foundations of Foundation Models in Healthcare"](https://hai.stanford.edu/news/shaky-foundations-foundation-models-healthcare)
'''
FOOTER = ''''''

def main():
    model_list = ModelList()

    with gr.Blocks(css='style.css') as demo:
        gr.Markdown(DESCRIPTION)

        search_box = gr.Textbox(
            label='Search Model Name',
            placeholder=
            'You can search for titles with regular expressions. e.g. (?<!sur)face',
            max_lines=1)
        
        case_sensitive = gr.Checkbox(label='Case Sensitive')
        
        filter_names = gr.CheckboxGroup(choices=[
            'Paper',
            'Code',
            'Model Weights',
        ], label='Filter')

        data_type_names = [
            'Biomedical',
            'Clinical',
            'Scientific',
        ]

        data_types = gr.CheckboxGroup(choices=data_type_names,
                                      value=data_type_names,
                                      label='Training Data Type(s)')
        
        search_button = gr.Button('Search')

        number_of_models = gr.Textbox(label='Number of Models Found')
        table = gr.HTML(show_label=False)

        gr.Markdown(NOTES)
        gr.Markdown(FOOTER)

        demo.load(fn=model_list.render,
                  inputs=[
                      search_box,
                      case_sensitive,
                      filter_names,
                      data_types,
                  ],
                  outputs=[
                      number_of_models,
                      table,
                  ])
        search_box.submit(fn=model_list.render,
                          inputs=[
                              search_box,
                              case_sensitive,
                              filter_names,
                              data_types,
                          ],
                          outputs=[
                              number_of_models,
                              table,
                          ])

        search_button.click(fn=model_list.render,
                            inputs=[
                                search_box,
                                case_sensitive,
                                filter_names,
                                data_types,
                            ],
                            outputs=[
                                number_of_models,
                                table,
                            ])

    demo.launch(enable_queue=True, share=False)


if __name__ == '__main__':
    main()