Update app.py

app.py

@@ -62,15 +62,13 @@ def predict_performance(Location, Course, College, Faculty, Source, Event, Prese
     # Clip the prediction to be between 0 and 1
     prediction = np.clip(prediction, 0, 1)
     
-    # Convert to percentage
-    prediction_percentage = prediction * 100
     
     # Debug print
     print("\nPrediction details:")
     print(f"Raw prediction: {prediction}")
-    print(f"Percentage: {prediction_percentage}")
+   
     
-    return f"Chance of Admission: {prediction_percentage:.1f}%"
+    return f"Chance of Admission: {prediction:.1f}"
 
 # Create Gradio interface
 iface = gr.Interface(
@@ -78,7 +76,7 @@ iface = gr.Interface(
     inputs=[
         gr.Radio(["Kathmandu", "Bhaktapur", "Lalitpur", "Kritipur"], label="Location"),
         gr.Slider(minimum=1000000, maximum=1700000, label="College Fee"),
-        gr.Slider(minimum=1, maximum=3, label="GPA"),  # Fixed GPA input
+        gr.Slider(minimum=2, maximum=3, label="GPA"),  # Fixed GPA input
         gr.Slider(minimum=2019, maximum=2025, step=1, label="Year"),
         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",