Good!

app.py

@@ -18,7 +18,7 @@ from sklearn.preprocessing import OneHotEncoder
 def greet_o(name, str2):
     return "Hello " + name + "!!" + " str2=" + str2
 
-def greet(name, body_profile_num):
+def greet(name, body_profile_type):
     user_df = {}
 
     # Get user input for numerical columns
@@ -28,7 +28,7 @@ def greet(name, body_profile_num):
     user_df['height'] = 60.0
     user_df['smokes'] = 1.0
     user_df['new_languages'] = 2.0
-    user_df['body_profile'] = float(body_profile_num)
+    user_df['body_profile'] = float(body_profile_type)
     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.'