Spaces:
Sleeping
Sleeping
Deepa Shalini commited on
Commit ·
c7b340d
1
Parent(s): 6a10045
How it works drawer
Browse files
app.py
CHANGED
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@@ -122,6 +122,87 @@ app.layout = dmc.MantineProvider(
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className="prompt"
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),
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# File picker and submit button row
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html.Div(
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[
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@@ -380,6 +461,17 @@ app.layout = dmc.MantineProvider(
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)
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# Callback for file upload
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@callback(
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Output("stored-data", "data"),
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className="prompt"
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),
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+
# How it works section
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html.Div(
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[
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html.Span("How it works ", style={
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"fontSize": "13px",
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"color": "#667085",
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"fontWeight": "500"
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}),
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html.Span("ⓘ", id="info-icon", style={
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"cursor": "pointer",
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"fontSize": "14px",
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"color": "#6941C6",
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"marginLeft": "2px"
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})
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],
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style={
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"marginTop": "8px",
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"marginBottom": "16px"
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}
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),
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# Drawer for How it works
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dmc.Drawer(
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title="How it works",
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id="info-drawer",
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padding="md",
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size="400px",
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position="right",
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children=[
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html.Div([
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html.Ol([
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html.Li([
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html.Strong("Upload and review your data:"),
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" Choose a CSV file containing your dataset and take a moment to explore it—understand the columns, data types, and any patterns, filters, or transformations relevant to your analysis."
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], style={"marginBottom": "16px"}),
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html.Li([
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html.Strong("Describe your analytical goal:"),
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" Write a natural language prompt that clearly states what you want to analyze and visualize. Reference specific column names and describe how they should be used (e.g., grouping, aggregation, filtering)."
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], style={"marginBottom": "16px"}),
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html.Li([
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html.Strong("Refine your prompt if needed:"),
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" If the output isn’t what you expected or an error occurs, adjust your prompt to be more specific or clarify assumptions. Small changes often lead to better results."
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], style={"marginBottom": "16px"}),
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html.Li([
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html.Strong("Review the generated code and chart:"),
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" Once the visualization is generated, review the underlying code to ensure it accurately reflects your analytical intent before using or sharing the results."
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], style={"marginBottom": "16px"}),
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html.Li([
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html.Strong("Share or export your results:"),
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" Download the visualization as an interactive HTML file to preserve interactivity, or export it as a static image for reports, presentations, or documentation."
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], style={"marginBottom": "0px"}),
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], style={
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"fontSize": "13px",
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"lineHeight": "1.6",
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"color": "#344054",
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"paddingLeft": "20px"
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}),
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html.Div([
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html.H4("Tips for better results:", style={
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"fontSize": "13px",
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"fontWeight": "600",
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"color": "#344054",
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"marginTop": "24px",
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"marginBottom": "12px"
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}),
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html.Ul([
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html.Li("Mention specific column names from your dataset"),
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html.Li("Specify colors, themes, or styling preferences"),
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html.Li("Include aggregations or transformations you need"),
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html.Li("Be clear about labels, titles, and legends")
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], style={
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"fontSize": "12px",
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"lineHeight": "1.6",
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"color": "#475467",
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"paddingLeft": "20px"
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})
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])
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])
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]
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),
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# File picker and submit button row
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html.Div(
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[
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)
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)
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# Add callback for drawer
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@callback(
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Output("info-drawer", "opened"),
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Input("info-icon", "n_clicks"),
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State("info-drawer", "opened"),
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prevent_initial_call=True
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)
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def toggle_drawer(n_clicks, opened):
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"""Toggle the info drawer when the info icon is clicked."""
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return not opened
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# Callback for file upload
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@callback(
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Output("stored-data", "data"),
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