Update app.py

app.py

@@ -1,16 +1,9 @@
 import gradio as gr
 
 def greet(year,co2_emission,No2_emission,so2_emission,Global_Warming,Methane_emission):
-    df1 = data1.drop(['YEAR'], axis=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