Update app.py

app.py

@@ -6,9 +6,6 @@ import pandas as pd
 from datetime import datetime
 import plotly.graph_objects as go
 
-def predict_future_prices(ticker, periods=1825):
-data = download_data(ticker)
-
 def download_data(ticker, start_date='2010-01-01'):
     """
     주식 데이터를 다운로드하고 포맷을 조정하는 함수
@@ -56,22 +53,22 @@ def predict_future_prices(ticker, periods=1825):
     fig.add_trace(go.Scatter(x=data['ds'], y=data['y'], mode='lines', name='Actual (Black)', line=dict(color='black')))
     
     return fig, forecast_prophet[['ds', 'yhat', 'yhat_lower', 'yhat_upper']], future_lr[['ds', 'yhat']]
-    
-css = """footer { visibility: hidden; }"""
 
-with gr.Blocks(css=css) as app:
+# Gradio 인터페이스 설정 및 실행
+with gr.Blocks() as app:
     with gr.Row():
         ticker_input = gr.Textbox(value="AAPL", label="Enter Stock Ticker for Forecast")
         periods_input = gr.Number(value=1825, label="Forecast Period (days)")
         forecast_button = gr.Button("Generate Forecast")
-        forecast_chart = gr.Plot(label="Forecast Chart")
-        forecast_data_prophet = gr.Dataframe(label="Prophet Forecast Data")
-        forecast_data_lr = gr.Dataframe(label="Linear Regression Forecast Data")
-
+    
+    forecast_chart = gr.Plot(label="Forecast Chart")
+    forecast_data_prophet = gr.Dataframe(label="Prophet Forecast Data")
+    forecast_data_lr = gr.Dataframe(label="Linear Regression Forecast Data")
+    
     forecast_button.click(
         fn=predict_future_prices,
         inputs=[ticker_input, periods_input],
         outputs=[forecast_chart, forecast_data_prophet, forecast_data_lr]
     )
 
-app.launch()
+app.launch()