Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import streamlit as st
 import pandas as pd
 import numpy as np
@@ -73,8 +72,9 @@ def asubmit(aparam):
 	from sklearn.linear_model import LinearRegression
 # Creating a Linear Regression model on our data
 	lin = LinearRegression()
-#	lin.fit(adf3[['Date']].astype('float').astype('int32'), adf3['Celsius'])
-	lin.fit(pd.to_numeric(adf3[['Date']]), adf3['Celsius'])
+	lin.fit(adf3[['Date']].astype('float').astype('int32'), adf3['Celsius'])
+#	lin.fit(pd.to_numeric(adf3[['Date']]), adf3['Celsius'])
+
 # Creating a plot
 	ax = adf3.plot.scatter(x='Date', y='Celsius', alpha=.1)
 	ax.plot(adf3['Date'], lin.predict(adf3[['Date']]), c='r')