Update app.py

app.py

@@ -87,6 +87,7 @@ def prediction():
         df['Vehicle_Damage'] = le_vDamage.fit_transform(df['Vehicle_Damage'])
 
         x = df.drop('Response', axis = 1)
+        print(x.shape)
         y = df['Response']
 
         #balancing the data for Target column
@@ -94,6 +95,7 @@ def prediction():
 
         smt = SMOTE(k_neighbors=8, random_state=10)
         x_new, y_new = smt.fit_resample(x, y)
+        print(x_new)
         #x_new.shape, y_new.shape
 
         #Splitting the data into train and test datasets