Create app.py

app.py

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+import gradio as gr
+import numpy as np
+import numpy_financial as npf
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def amortization_report(principal, rate, periods):
+    payment = -npf.pmt(rate, periods, principal)
+    interest = -npf.ipmt(rate, np.arange(1, periods + 1), periods, principal)
+    principal_paid = -npf.ppmt(rate, np.arange(1, periods + 1), periods, principal)
+    balance = principal - principal_paid.cumsum()
+
+    df = pd.DataFrame({
+        'Year': np.arange(1, periods + 1),
+        'Payment': np.full(periods, round(payment, 2)),
+        'Interest': interest.round(2),
+        'Principal': principal_paid.round(2),
+        'Balance': balance.round(2)
+    })
+
+    # Plot
+    fig, axs = plt.subplots(1, 2, figsize=(12, 5))
+
+    axs[0].plot(df['Year'], df['Interest'], label='Interest', color='red', marker='o')
+    axs[0].plot(df['Year'], df['Principal'], label='Principal', color='green', marker='o')
+    axs[0].set_title('Payment Breakdown')
+    axs[0].set_xlabel('Year')
+    axs[0].set_ylabel('Amount')
+    axs[0].grid(True)
+    axs[0].legend()
+
+    axs[1].plot(df['Year'], df['Balance'], label='Remaining Balance', color='blue', marker='o')
+    axs[1].set_title('Remaining Balance Over Time')
+    axs[1].set_xlabel('Year')
+    axs[1].set_ylabel('Balance')
+    axs[1].grid(True)
+    axs[1].legend()
+
+    plt.tight_layout()
+
+    return df, fig
+
+demo = gr.Interface(
+    fn=amortization_report,
+    inputs=[
+        gr.Number(label="Principal", value=100000),
+        gr.Number(label="Annual Interest Rate (e.g., 0.05 for 5%)", value=0.05),
+        gr.Number(label="Number of Periods (Years)", value=10)
+    ],
+    outputs=[
+        gr.Dataframe(label="Amortization Table"),
+        gr.Plot(label="Amortization Charts")
+    ],
+    title="Amortization Report",
+    description="Enter loan parameters to see amortization schedule and visualization."
+)
+
+if __name__ == "__main__":
+    demo.launch()