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import gradio as gr |
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import pandas as pd |
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df = pd.read_csv("spanish_nlp_initiatives.csv") |
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def update_table(search_query): |
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if search_query == "": |
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return df |
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else: |
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filtered_df = df[ |
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df.apply( |
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lambda row: row.astype(str) |
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.str.contains(search_query, case=False) |
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.any(), |
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axis=1, |
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) |
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] |
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return filtered_df |
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with gr.Blocks() as app: |
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gr.Markdown("# 🚀 Spanish NLP Initiatives") |
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gr.Markdown( |
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"Discover the initiatives driving NLP advancements in Spanish and other low-resource languages spoken in LatAm and Spain." |
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) |
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gr.Markdown( |
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"Help us expand this list! Comment and contribute to make it comprehensive so every initiative gets the visibility it deserves. Thank you!" |
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) |
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with gr.Row(): |
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search_box = gr.Textbox(placeholder="Type to search...", label="Search") |
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with gr.Row(): |
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table = gr.Dataframe( |
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value=df, |
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label="Spanish NLP Initiatives", |
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show_label=False, |
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interactive=False, |
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wrap=True, |
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column_widths=["40%", "20%", "10%", "25%", "15%"], |
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) |
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search_box.change(fn=update_table, inputs=search_box, outputs=table) |
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app.launch() |
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