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using Dash |
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using DataFrames |
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using PlotlyJS |
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df = DataFrame( |
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text = ["Example text $i" for i in 1:10], |
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classification = ["Misinformation", "Legitimate", "Misinformation", "Legitimate", "Misinformation", "Legitimate", "Misinformation", "Legitimate", "Misinformation", "Legitimate"], |
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score = rand(0:100, 10) |
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) |
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app = dash() |
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app.layout = html_div() do |
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[ |
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dcc_input(id="search-box", type="text", placeholder="Enter text to search for", style=Dict("width" => "100%")), |
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html_button("Search", id="search-button", n_clicks=0), |
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dash_datatable( |
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id="results-table", |
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columns=[Dict("name" => i, "id" => i) for i in names(df)], |
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data=Dict.(pairs.(eachrow(df))), |
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row_selectable="multi", |
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selected_rows=[] |
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), |
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dcc_graph(id="score-distribution") |
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] |
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end |
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callback!( |
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app, |
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Output("results-table", "data"), |
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Output("score-distribution", "figure"), |
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Input("search-button", "n_clicks"), |
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State("search-box", "value") |
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) do n_clicks, search_value |
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if n_clicks > 0 && !isempty(search_value) |
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filtered_data = filter(row -> occursin(search_value, row.text), df) |
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data_dict = Dict.(pairs.(eachrow(filtered_data))) |
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scores = filtered_data[!, :score] |
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fig = plot( |
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bar(x=1:length(scores), y=scores, marker_color="blue"), |
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Layout(title="Score Distribution", xaxis_title="Index", yaxis_title="Score") |
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) |
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return data_dict, fig |
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else |
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empty_data = Dict.(pairs.(eachrow(DataFrame()))) |
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empty_fig = plot( |
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bar(x=[], y=[], marker_color="blue"), |
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Layout(title="Score Distribution", xaxis_title="Index", yaxis_title="Score") |
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) |
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return empty_data, empty_fig |
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end |
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end |
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run_server(app, "0.0.0.0", debug=true) |
