Update app.py

app.py

@@ -73,14 +73,14 @@ def asubmit(aparam):
 	from sklearn.linear_model import LinearRegression
 # Creating a Linear Regression model on our data
 	lin = LinearRegression()
-	lin.fit(adf3[['Date']], adf3['Celsius'])
+	lin.fit(adf3[['Date']].astype('int32'), 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')
 
 #	lin.score(adf3[['Date']], adf3['Celsius'])
 #	st.write(lin.predict(np.array([[20230223]])))
-	st.write(lin.predict(np.array([['Date']], dtype=float)))
+	st.write(lin.predict(np.array([['Date']], dtype=int32)))
 
 adf = pd.DataFrame(
 	astations,