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#!/usr/bin/env python | |
from __future__ import annotations | |
import gradio as gr | |
from model_list import ModelList | |
DESCRIPTION = '# Clinical & 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', | |
] | |
# prev: paper_sessions | |
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() | |