Update app.py
Browse files
app.py
CHANGED
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@@ -2,24 +2,20 @@ import gradio as gr
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import pandas as pd
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SHEET_ID = '
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SHEET_NAME = 'Datasets'
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csv_url = f'https://docs.google.com/spreadsheets/d/{SHEET_ID}/gviz/tq?tqx=out:csv&sheet={SHEET_NAME}'
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class DataList:
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def __init__(self):
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self.table = pd.read_csv(csv_url)
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self.table = self.table.astype({'Year':'string'})
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self._preprocess_table()
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self.table_header = '''
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<tr>
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<td width="25%">Name</td>
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<td width="
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<td width="
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<td width="10%">Year Updated</td>
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<td width="10%">Type</td>
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<td width="10%">Tag</td>
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</tr>'''
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def _preprocess_table(self) -> None:
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@@ -32,24 +28,17 @@ class DataList:
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row = f'''
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<tr>
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<td>{source}</td>
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<td>{row.
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<td>{row.Publisher}</td>
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<td>{row.Year}</td>
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<td>{row.Type}</td>
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<td>{row.Tags}</td>
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</tr>'''
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rows.append(row)
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self.table['html_table_content'] = rows
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def render(self, search_query: str,
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case_sensitive: bool,
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filter_names: list[str]
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) -> tuple[int, str]:
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df = self.table
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if search_query:
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if case_sensitive:
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df = df[df.name.str.contains(search_query)]
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else:
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df = df[df.name_lowercase.str.contains(search_query.lower())]
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df = self.filter_table(df, filter_names)
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result = self.to_html(df, self.table_header)
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@@ -92,13 +81,12 @@ span.svelte-s1r2yt{font-weight: bold !important;
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"""
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with gr.Blocks(css=css) as demo:
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search_box = gr.Textbox( label='Search Name', placeholder='You can search for titles with regular expressions. e.g. (?<!sur)face',max_lines=1)
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filter_names = gr.CheckboxGroup(choices=['Real Data','Synthetic Data',], value=['Real Data','Synthetic Data',], label='Type')
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search_button = gr.Button('Search')
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table = gr.HTML(show_label=False)
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demo.load(fn=data_list.render, inputs=[search_box,
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search_box.submit(fn=data_list.render, inputs=[search_box,
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search_button.click(fn=data_list.render, inputs=[search_box,
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demo.queue()
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demo.launch(share=False)
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import pandas as pd
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SHEET_ID = '1CLlupGiP__XkLWT7RAfBfiW9m916tpgxYAQTJmFQVfI'
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SHEET_NAME = 'Datasets'
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csv_url = f'https://docs.google.com/spreadsheets/d/{SHEET_ID}/gviz/tq?tqx=out:csv&sheet={SHEET_NAME}'
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class DataList:
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def __init__(self):
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self.table = pd.read_csv(csv_url)
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self._preprocess_table()
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self.table_header = '''
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<tr>
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<td width="25%">Name</td>
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<td width="50%">Description</td>
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<td width="25%">Type</td>
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</tr>'''
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def _preprocess_table(self) -> None:
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row = f'''
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<tr>
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<td>{source}</td>
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<td>{row.Description}</td>
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<td>{row.Type}</td>
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</tr>'''
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rows.append(row)
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self.table['html_table_content'] = rows
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def render(self, search_query: str,
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filter_names: list[str]
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) -> tuple[int, str]:
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df = self.table
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if search_query:
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df = df[df.name_lowercase.str.contains(search_query.lower())]
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df = self.filter_table(df, filter_names)
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result = self.to_html(df, self.table_header)
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"""
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with gr.Blocks(css=css) as demo:
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search_box = gr.Textbox( label='Search Name', placeholder='You can search for titles with regular expressions. e.g. (?<!sur)face',max_lines=1)
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filter_names = gr.CheckboxGroup(choices=['Guidebooks','Assessment Tools','Training and Education',], value=['Guidebooks','Assessment Tools','Training and Education',], label='Type')
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search_button = gr.Button('Search')
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table = gr.HTML(show_label=False)
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demo.load(fn=data_list.render, inputs=[search_box, filter_names,],outputs=[table,])
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search_box.submit(fn=data_list.render, inputs=[search_box, filter_names,], outputs=[table,])
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search_button.click(fn=data_list.render, inputs=[search_box, filter_names,], outputs=[table,])
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demo.queue()
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demo.launch(share=False)
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