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from __future__ import annotations |
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import gradio as gr |
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from dataset_list import DatasetList |
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DESCRIPTION = '# Explore Medical Question Answering Datasets 🏥' |
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NOTES = ''' |
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''' |
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FOOTER = '''''' |
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def main(): |
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dataset_list = DatasetList() |
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with gr.Blocks(css='style.css') as demo: |
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gr.Markdown(DESCRIPTION) |
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search_box = gr.Textbox( |
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label='Search Dataset Name', |
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placeholder= |
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'You can search for titles with regular expressions. e.g. (?<!sur)face', |
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max_lines=1) |
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case_sensitive = gr.Checkbox(label='Case Sensitive') |
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filter_names = gr.CheckboxGroup(choices=[ |
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'Data Link', |
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'Paper', |
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], label='Filter') |
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search_button = gr.Button('Search') |
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number_of_datasets = gr.Textbox(label='Number of Datasets Found') |
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table = gr.HTML(show_label=False) |
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gr.Markdown(NOTES) |
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gr.Markdown(FOOTER) |
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demo.load(fn=dataset_list.render, |
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inputs=[ |
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search_box, |
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case_sensitive, |
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filter_names |
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], |
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outputs=[ |
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number_of_datasets, |
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table, |
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]) |
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search_box.submit(fn=dataset_list.render, |
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inputs=[ |
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search_box, |
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case_sensitive, |
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filter_names |
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], |
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outputs=[ |
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number_of_datasets, |
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table, |
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]) |
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search_button.click(fn=dataset_list.render, |
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inputs=[ |
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search_box, |
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case_sensitive, |
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filter_names |
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], |
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outputs=[ |
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number_of_datasets, |
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table, |
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]) |
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demo.launch(enable_queue=True, share=False) |
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if __name__ == '__main__': |
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main() |
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