Update app.py

app.py

@@ -8,7 +8,7 @@ import hvplot.pandas
 import yfinance as yf
 
 @pn.cache
-def getPolygonDF(ticker , startdate , enddate , window, window2):
+def getPolygonDF(ticker , startdate , enddate , intervalperiod, window, window2):
     import time
     #My Polygon API
     mypolgonAPI = "wYB9CMZDYB6wL0ycZN33yjQ20Q0xVFlY"
@@ -19,7 +19,7 @@ def getPolygonDF(ticker , startdate , enddate , window, window2):
     import json
 
     interval = "minute"
-    period = "5"
+    period = intervalperiod #"5"
     limit = 50000
 
 
@@ -42,7 +42,7 @@ def getPolygonDF(ticker , startdate , enddate , window, window2):
     DF = DF.reset_index()
 
 def get_hvplot(ticker , startdate , enddate , interval,window,window2):
-    DF = get_df(ticker , startdate=startdate , enddate=enddate , interval=interval,window=window,window2=window2)
+    DF = getPolygonDF(ticker , startdate=startdate , enddate=enddate , interval=interval,window=window,window2=window2)
 
     import hvplot.pandas  # Ensure hvplot is installed (pip install hvplot)
     from sklearn.linear_model import LinearRegression
@@ -104,6 +104,6 @@ pn.Row(
     # pn.bind(calc_fairprice_CDF,ticker),
     # pn.bind(calc_fairprice_DnetP,ticker)),
     # pn.panel(pn.bind(get_hvplot, ticker, "2010-01-01","2023-09-01","1d")) #, sizing_mode='stretch_width')
-    pn.panel(pn.bind(get_hvplot, ticker, date_start , date_end,"1d",window,window2)), #, sizing_mode='stretch_width')
+    pn.panel(pn.bind(get_hvplot, ticker, date_start , date_end,"5",window,window2)), #, sizing_mode='stretch_width')
     # pn.panel(pn.bind(get_income_hvplot, ticker))    #, sizing_mode='stretch_width')    
 ).servable(title="Under Valued Screener- Linear Regression")