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app.py

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+import pandas as pd
+from prophet import Prophet
+from pandas_datareader.stooq import StooqDailyReader
+from datetime import datetime
+from fbprophet.plot import plot
+from dateutil.relativedelta import relativedelta
+import gradio as gr
+pd.options.plotting.backend = "plotly"
+
+def get_forecast(stock):
+    
+    end = datetime.today()
+    start = end -relativedelta(years=5)
+    df = StooqDailyReader(stock, start=start, end=end)
+    df_stock = df.read()['Close']
+    df = df_stock.reset_index().rename(columns={"Date":"ds","Close":"y"})
+    m = Prophet().fit(df)
+    future = m.make_future_dataframe(periods=360, freq='D')
+    fcst = m.predict(future)
+
+    fig1 = m.plot(fcst)
+    return fig1 
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+    """
+    日米インデックス株の予測をします。プルダウンから予測したいインデックスを選んでください。NKX:日経平均、TPX:トピックス、DJI:ダウ平均、NDQ:ナスダック、SPX:S&P500
+    """)
+    with gr.Row():
+        stock = gr.Dropdown( ["^NKX","^TPX",'^DJI',"^NDQ","^SPX"], label="Stock", value="^NKX")
+
+    plt = gr.Plot()
+
+    stock.change(get_forecast, [stock], plt, queue=False)
+    demo.load(get_forecast, [stock], plt, queue=False,title="Stock Predict")    
+
+demo.launch()