Create app.py

app.py

@@ -0,0 +1,83 @@
+import gradio as gr
+import pandas as pd
+import numpy as np
+import plotly.express as px
+from datetime import datetime
+
+def calculate_schedule(
+    principal: float,
+    deposit: float,
+    annual_rate: float,
+    compounding: str,
+    display_freq: str,
+    years: int
+):
+    """计算从1个复利期到指定年限的终值和利息，支持不同复利及显示频率"""
+    # 复利周期次数映射
+    freq_map = {"Annual": 1, "Monthly": 12, "Daily": 365}
+    m = freq_map[compounding]
+    total_periods = years * m
+    r_m = (annual_rate / 100) / m  # 每期利率
+
+    periods, fv_list = [], []
+    for t in range(1, total_periods + 1):
+        fv_t = principal * (1 + r_m)**t + deposit * (((1 + r_m)**t - 1)/r_m)
+        # 根据展示频率筛选
+        if display_freq == "Yearly" and t % m == 0:
+            periods.append(t // m)
+            fv_list.append(fv_t)
+        elif display_freq == "Monthly" and compounding == "Monthly":
+            periods.append(t)
+            fv_list.append(fv_t)
+        elif display_freq == "Daily" and compounding == "Daily":
+            periods.append(t)
+            fv_list.append(fv_t)
+
+    # 构造 DataFrame
+    df = pd.DataFrame({
+        display_freq: periods,
+        "Future Value (RMB)": np.round(fv_list, 2),
+        "Total Invested (RMB)": np.round(principal + deposit * np.array(periods), 2),
+    })
+    df["Interest Earned (RMB)"] = df["Future Value (RMB)"] - df["Total Invested (RMB)"]
+
+    # 绘制折线图
+    fig = px.line(
+        df, 
+        x=display_freq, 
+        y="Future Value (RMB)", 
+        title=f"Compound Growth over Time ({display_freq})"
+    )
+    fig.update_layout(xaxis_title=display_freq, yaxis_title="Future Value (RMB)")
+
+    return df, fig
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 复利计算器\n输入参数，实时查看复利终值及曲线图")
+    with gr.Row():
+        principal = gr.Number(label="初始本金 (RMB)", value=20000)
+        deposit = gr.Number(label="每期定投 (RMB)", value=5000)
+        annual_rate = gr.Number(label="年化收益率 (%)", value=10.22)
+    with gr.Row():
+        compounding = gr.Radio(
+            choices=["Annual", "Monthly", "Daily"], 
+            label="复利频率", 
+            value="Monthly"
+        )
+        display_freq = gr.Radio(
+            choices=["Yearly", "Monthly", "Daily"], 
+            label="结果展示频率", 
+            value="Yearly"
+        )
+        years = gr.Slider(1, 50, value=41, label="计算年限 (年)")
+    result_table = gr.Dataframe(headers=["Period", "Future Value (RMB)", "Total Invested (RMB)", "Interest Earned (RMB)"])
+    result_plot = gr.Plot()
+
+    # 绑定事件
+    demo.load(
+        fn=calculate_schedule,
+        inputs=[principal, deposit, annual_rate, compounding, display_freq, years],
+        outputs=[result_table, result_plot]
+    )
+
+    demo.launch()