Added more comments

app.py

@@ -14,6 +14,11 @@ from sklearn.preprocessing import LabelEncoder
 from sklearn.preprocessing import OneHotEncoder
 
 # TODO: Implement MBTI features
+# Testing: curl -X POST https://debisoft-junction.hf.space/api/predict -H 'Content-Type: application/json' -d '{"data": [<name>,<body_profile_type>]}
+#  body_profile_type => [0-4] 
+# Eg. curl -X POST https://debisoft-junction.hf.space/api/predict -H 'Content-Type: application/json' -d '{"data": ["David",4]}
+
+# Adapted from https://www.geeksforgeeks.org/predict-tinder-matches-with-machine-learning/
 
 def greet(name, body_profile_type):
     user_df = {}