Update app.py

app.py

@@ -1,6 +1,25 @@
 import gradio as gr
 
 def greet(year,co2_emission,No2_emission,so2_emission,Global_Warming,Methane_emission):
+    df1 = data1.drop(['YEAR'], axis=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)
+
+
+  #traing the dataset
+  from sklearn.linear_model import LinearRegression
+
+  reg = LinearRegression().fit(X_train, y_train)