Update app.py

app.py

@@ -5,21 +5,21 @@ def greet(year,co2_emission,No2_emission,so2_emission,Global_Warming,Methane_emi
 
 
 
-  #data indexing
-  x=df1.iloc[:,1:].values
-  y=df1.iloc[:,0].values
-  np.reshape(y,(-1,1))
+   #data indexing
+   x=df1.iloc[:,1:].values
+   y=df1.iloc[:,0].values
+   np.reshape(y,(-1,1))
 
   #split the dataset
-  from sklearn.model_selection import train_test_split
-  X_train, X_test, y_train, y_test = train_test_split(
-      x, y, test_size=0.33, random_state=42)
+   from sklearn.model_selection import train_test_split
+   X_train, X_test, y_train, y_test = train_test_split(
+       x, y, test_size=0.33, random_state=42)
 
 
   #traing the dataset
-  from sklearn.linear_model import LinearRegression
+   from sklearn.linear_model import LinearRegression
 
-  reg = LinearRegression().fit(X_train, y_train)
+   reg = LinearRegression().fit(X_train, y_train)