File size: 1,872 Bytes
143b0d4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
using Dash
using DataFrames
using PlotlyJS
# Sample data for demonstration
df = DataFrame(
text = ["Example text $i" for i in 1:10],
classification = ["Misinformation", "Legitimate", "Misinformation", "Legitimate", "Misinformation", "Legitimate", "Misinformation", "Legitimate", "Misinformation", "Legitimate"],
score = rand(0:100, 10)
)
app = dash()
app.layout = html_div() do
[
dcc_input(id="search-box", type="text", placeholder="Enter text to search for", style=Dict("width" => "100%")),
html_button("Search", id="search-button", n_clicks=0),
dash_datatable(
id="results-table",
columns=[Dict("name" => i, "id" => i) for i in names(df)],
data=Dict.(pairs.(eachrow(df))),
row_selectable="multi",
selected_rows=[]
),
dcc_graph(id="score-distribution")
]
end
callback!(
app,
Output("results-table", "data"),
Output("score-distribution", "figure"),
Input("search-button", "n_clicks"),
State("search-box", "value")
) do n_clicks, search_value
if n_clicks > 0 && !isempty(search_value)
filtered_data = filter(row -> occursin(search_value, row.text), df)
data_dict = Dict.(pairs.(eachrow(filtered_data)))
scores = filtered_data[!, :score]
fig = plot(
bar(x=1:length(scores), y=scores, marker_color="blue"),
Layout(title="Score Distribution", xaxis_title="Index", yaxis_title="Score")
)
return data_dict, fig
else
empty_data = Dict.(pairs.(eachrow(DataFrame())))
empty_fig = plot(
bar(x=[], y=[], marker_color="blue"),
Layout(title="Score Distribution", xaxis_title="Index", yaxis_title="Score")
)
return empty_data, empty_fig
end
end
run_server(app, "0.0.0.0", debug=true) |