Create app.py

data/app.py

@@ -0,0 +1,29 @@
+import dash
+from dash import dcc, html
+import pandas as pd
+import plotly.express as px
+
+# Load the sales data generated from the last task
+sales_data = pd.read_csv("sales_data.csv")
+
+# Filter the data to include only the relevant period for the analysis
+relevant_sales_data = sales_data[sales_data['Date'] >= '2021-01-01']
+
+# Sort the data by date
+relevant_sales_data = relevant_sales_data.sort_values(by='Date')
+
+# Initialize the Dash app
+app = dash.Dash(__name__)
+
+# Define the layout of the app
+app.layout = html.Div(children=[
+    html.H1(children='Soul Foods Sales Visualizer'),
+
+    dcc.Graph(
+        id='sales-chart',
+        figure=px.line(relevant_sales_data, x='Date', y='Sales', title='Sales Over Time')
+    )
+])
+
+if __name__ == '__main__':
+    app.run_server(debug=True)