Update app.py

app.py

@@ -1,15 +1,22 @@
 import gradio as gr
 
 def greet(year,co2_emission,No2_emission,so2_emission,Global_Warming,Methane_emission):
-    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)
+    x=df1.iloc[:,1:].values
+    y=df1.iloc[:,0].values
+    np.reshape(y,(-1,1))
 
 
-  #traing the dataset
-   from sklearn.linear_model import LinearRegression
+    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.linear_model import LinearRegression
+    reg = LinearRegression().fit(X_train, y_train)
+    
 
-   reg = LinearRegression().fit(X_train, y_train)
+    
+    
+    
+    
+