Update app.py

app.py

@@ -72,22 +72,22 @@ def predict_performance(Location, College_Fee, College, GPA, Year, Course_Intere
 iface = gr.Interface(
     fn=predict_performance,
     inputs=[
-        gr.Radio(["Kathmandu", "Bhaktapur", "Lalitpur", "Kritipur"], label="Location"),
-        gr.Slider(minimum=1000000, maximum=1700000,step=100000,label="College Fee"),
+        gr.Radio(["Kathmandu", "Bhaktapur", "Lalitpur", "Kritipur"], label="Location",info="What is your current location?") ),
+        gr.Slider(minimum=1000000, maximum=1700000,step=100000,label="College Fee", info="the bachelor fee for the course you want to enroll?"),
         gr.Radio(["Trinity", "CCRC", "KMC", "SOS", "ISMT", "St. Xavier's", "Everest", "Prime"], label="College"),
-        gr.Slider(minimum=2, maximum=3, label="GPA"),
-        gr.Slider(minimum=2024, maximum=2024, step=1, label="Year"),
+        gr.Slider(minimum=2, maximum=3, label="GPA", info=What is your GPA (Grade Point Average) of +2 ?),
+        gr.Slider(minimum=2024, maximum=2024, step=1, label="Year", info="What is your intended year of admission?"),
         gr.Radio(["MSc IT & Applied Security", "BSc (Hons) Computing", "BSc (Hons) Computing with Artificial Intelligence", 
                  "BSc (Hons) Computer Networking & IT Security", "BSc (Hons) Multimedia Technologies", "MBA", 
-                 "BA (Hons) Accounting &  Finance", "BA (Hons) Business Administration"], label="Course_Interested"),
-        gr.Radio(["Science", "Management", "Humanities"], label="Faculty"),
-        gr.Radio(["Event", "Facebook", "Instagram", "Offline", "Recommendation"], label="Source"),
+                 "BA (Hons) Accounting &  Finance", "BA (Hons) Business Administration"], label="Course_Interested", info="Which course are you most interested in?"),
+        gr.Radio(["Science", "Management", "Humanities"], label="Faculty", info="what is your last stream ?"),
+        gr.Radio(["Event", "Facebook", "Instagram", "Offline", "Recommendation"], label="Source",info="How did you first hear about this college?"),
         gr.Radio(["Yes", "No"], label="visited_college_for_inquery_only"),
+        gr.Radio(["Yes", "No"], label="attended_any_event", info="Have you attended any events organized by the college you're interested in?"),
         gr.Radio(["New Year", "Dashain", "Orientation", "Fresher's Party", "Holi Festival", "Welcome Ceremony"], 
-                label="attended_event_name"),
-        gr.Radio(["Yes", "No"], label="attended_any_event"),
-        gr.Radio(["Ram", "Gita", "Manish", "Shyam", "Raj", "Hari", "Rina", "Shree"], label="Presenter"),
-        gr.Radio(["Yes", "No"], label="visited_with_parents")
+                label="attended_event_name", info="If yes, which events did you attend?" ],
+        gr.Radio(["Ram", "Gita", "Manish", "Shyam", "Raj", "Hari", "Rina", "Shree"], label="Presenter", info="who is the counser that help you while in counseling?"),
+        gr.Radio(["Yes", "No"], label="visited_with_parents", info="Did you visit the college with your parents?")
     ],
     outputs="text",
     title="Student Admission Prediction",