Update app.py

app.py

@@ -61,9 +61,9 @@ def predict_performance(Location, College_Fee, College, GPA, Year, Course_Intere
         else:
             confidence_level = "Lower chance of admission"
 
-        #return confidence_level
+        return confidence_level
 
-        return f"Admission Probability: {prediction_percentage:.1f}%\n{confidence_level}"
+        #return f"Admission Probability: {prediction_percentage:.1f}%\n{confidence_level}"
 
     except Exception as e:
         return f"Error in prediction: {str(e)}"
@@ -73,8 +73,8 @@ iface = gr.Interface(
     fn=predict_performance,
     inputs=[
         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=1000000, maximum=1700000,step=100000,label="College Fee", info="What 's the the total bachelor fee for the course you want to enroll?"),
+        gr.Radio(["Trinity", "CCRC", "KMC", "SOS", "ISMT", "St. Xavier's", "Everest", "Prime"], label="College", info=""),
         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",