Update app.py

app.py

@@ -20,7 +20,7 @@ def get_df(ticker, startdate , enddate , interval="1d",window=50,window2=150):
     DF = DF.reset_index()
     return DF 
 
-def get_hvplot(ticker , startdate , enddate , interval,window):
+def get_hvplot(ticker , startdate , enddate , interval,window,window2):
     DF = get_df(ticker , startdate=startdate , enddate=enddate , interval=interval,window=window)
 
     import hvplot.pandas  # Ensure hvplot is installed (pip install hvplot)
@@ -45,6 +45,7 @@ def get_hvplot(ticker , startdate , enddate , interval,window):
     # # Step 4: Create a line plot for linear regression
     line_plot = DF.hvplot(x='Date', y='Predicted_Close', kind='line',line_dash='dashed', color='red')
     line_plot_SMA = DF.hvplot(x='Date', y='SMA', kind='line',line_dash='dashed', color='orange')
+    line_plot_SMA2 = DF.hvplot(x='Date', y='SMA2', kind='line',line_dash='dashed', color='orange')
 
     # # Step 5: Overlay scatter plot and linear regression line
     # return (scatter_plot * line_plot).opts(width=800, height=600, show_grid=True, gridstyle={ 'grid_line_color': 'gray'})
@@ -190,7 +191,7 @@ tickers = pd.read_csv('tickers.csv').Ticker.to_list()
 ticker = pn.widgets.AutocompleteInput(name='Ticker', options=tickers , placeholder='Write Ticker here همین جا')
 ticker.value = "AAPL"
 window = pn.widgets.IntSlider(name='Window Size', value=50, start=5, end=1000, step=5)
-window2 = pn.widgets.IntSlider(name='Window Size', value=150, start=5, end=1000, step=5)
+window2 = pn.widgets.IntSlider(name='Window Size2', value=150, start=5, end=1000, step=5)
 
 # Create a DatePicker widget with a minimum date of 2000-01-01
 date_start = pn.widgets.DatePicker(