Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import pandas as pd
+import plotly.graph_objects as go
+def compute_return(month_deposit, initial_deposit, interest_rate, years):
+    total = initial_deposit
+    actual = initial_deposit
+    total_values = []
+    actual_values = []
+    for i in range(years):
+        for j in range(12):
+            total += month_deposit
+            actual += month_deposit
+            total = total * (interest_rate/100 + 1)
+        total_values.append(total)
+        actual_values.append(actual)
+    df = pd.DataFrame([[round(total,2), actual, round((total - actual)/actual*100, 2)]], columns=["Total asset", "Actual Investment", "Percentage Return"])
+    # add a line plot for total asset with years
+    years_range = list(range(1, years+1))
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(x=years_range, y=total_values, mode='lines', name='Total'))
+    fig.add_trace(go.Scatter(x=years_range, y=actual_values, mode='lines', name='Actual'))
+    fig.update_layout(title='Evolution of Actual investment and Total asset with Years', xaxis_title='Years', yaxis_title='Amount')
+    return df, fig
+
+inputs = [
+    gr.Slider(minimum=0, maximum=2000, step=100, value=500, label="Monthly Deposit"),
+    gr.Slider(minimum=0, maximum=20000, step=1000, value=500, label="Initial Deposit"),
+    gr.Slider(minimum=0, maximum=10, step=0.5, value=1, label="Monthly Return Rate"),
+    gr.Slider(minimum=0, maximum=10, step=1, value=1, label="Years")
+]
+
+output = [gr.DataFrame(label="Summary"),
+          gr.Plot()]
+
+gr.Interface(fn=compute_return, inputs=inputs, outputs=output).launch()