g

app.py

@@ -18,17 +18,17 @@ from sklearn.preprocessing import OneHotEncoder
 def greet_o(name, str2):
     return "Hello " + name + "!!" + " str2=" + str2
 
-def greet(name, sex_num):
+def greet(name, weight_num):
     user_df = {}
 
     # Get user input for numerical columns
     user_df['age'] = 22.0
     user_df['status'] = 1.0
-    user_df['sex'] = 0.0 + float(sex_num)
+    user_df['sex'] = 0.0
     user_df['height'] = 60.0
     user_df['smokes'] = 1.0
     user_df['new_languages'] = 2.0
-    user_df['body_profile'] = 0.0
+    user_df['body_profile'] = float(weight_num)
     user_df['education_level'] = 4.0
     user_df['dropped_out'] = 0.0
     user_df['bio'] = 'I am a foodie and traveller. But sometimes like to sit alone in a corner and read a good fiction.'