build miniapp

.github/workflows/dash.yaml

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+name: dash
+on: push
+jobs:
+  mini-app:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@main
+    - run: |
+            pip install dash
+            pip install pandas
+    - run: python Dash/app.py
+      timeout-minutes: 1
+
+

Dash/README.md

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+# Dash.plotly
+- Python low-code framework
+- For building ML & data science web apps.
+- Built on top of Plotly.js, React and Flask

Dash/app.py

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+from dash import Dash, html, dcc, callback, Output, Input
+import plotly.express as px
+import pandas as pd
+
+df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminder_unfiltered.csv')
+
+app = Dash()
+
+app.layout = [
+    html.H1(children='Title of Dash App', style={'textAlign':'center'}),
+    dcc.Dropdown(df.country.unique(), 'Canada', id='dropdown-selection'),
+    dcc.Graph(id='graph-content')
+]
+
+@callback(
+    Output('graph-content', 'figure'),
+    Input('dropdown-selection', 'value')
+)
+def update_graph(value):
+    dff = df[df.country==value]
+    return px.line(dff, x='year', y='pop')
+
+if __name__ == '__main__':
+    app.run(debug=True)