Update app.py

app.py

@@ -10,6 +10,12 @@ def greet(year,co2_emission,No2_emission,so2_emission,Global_Warming,Methane_emi
     X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.33, random_state=42)
     from sklearn.linear_model import LinearRegression
     reg = LinearRegression().fit(X_train, y_train)
+    #Equation
+    total1="2.29209688*(x1)+(-17.24834114)*(x2)+(-34.46449984)*(x3)+441.88734541*(x4)+(-10.5704468)*(x5)+3032.3276611889232"
+    eq1=2.29209688*(co2_emission)+(-17.24834114)*(No2_emission)+(-34.46449984)*(so2_emission)+441.88734541*(Global_Warming)+(-10.5704468)*(Methane_emission)+3032.3276611889232
+    if(year==1996):
+        return total1,eq1
+
     
 
     
@@ -24,12 +30,8 @@ def greet(year,co2_emission,No2_emission,so2_emission,Global_Warming,Methane_emi
 
   
 
-  #Equation
-  total1="2.29209688*(x1)+(-17.24834114)*(x2)+(-34.46449984)*(x3)+441.88734541*(x4)+(-10.5704468)*(x5)+3032.3276611889232"
-  eq1=2.29209688*(co2_emission)+(-17.24834114)*(No2_emission)+(-34.46449984)*(so2_emission)+441.88734541*(Global_Warming)+(-10.5704468)*(Methane_emission)+3032.3276611889232
-
-  if(year==1996):
-      return total1,eq1
+  
+