Update app.py

app.py

@@ -70,21 +70,26 @@ def predict_performance(Location, College_Fee, GPA, Year, Course_Interested, Col
     
     scaled_input = scaler.transform(df)
     
-    # Debug print 4: Show scaled input
-    print("\nScaled input:")
-    print(scaled_input)
+    # # Debug print 4: Show scaled input
+    # print("\nScaled input:")
+    # print(scaled_input)
     
-    prediction = model.predict(scaled_input)[0]
+    # prediction = model.predict(scaled_input)[0]
+    
+    # # Debug print 5: Show prediction details
+    # print("\nPrediction details:")
+    # print(f"Raw prediction: {prediction}")
+    # prediction_probability = 1 / (1 + np.exp(-prediction))
+    # print(f"Probability: {prediction_probability}")
+    # prediction_percentage = prediction_probability * 100
+    # print(f"Percentage: {prediction_percentage}")
     
-    # Debug print 5: Show prediction details
-    print("\nPrediction details:")
-    print(f"Raw prediction: {prediction}")
-    prediction_probability = 1 / (1 + np.exp(-prediction))
-    print(f"Probability: {prediction_probability}")
-    prediction_percentage = prediction_probability * 100
-    print(f"Percentage: {prediction_percentage}")
+    # return f"Chance of Admission: {prediction_percentage:.1f}%"
+
+        # Make predictions using the loaded model
+    prediction = model.predict(scaled_input)[0]
     
-    return f"Chance of Admission: {prediction_percentage:.1f}%"
+    return f"Predicted House Price: ${prediction:,.2f}"
  
 iface = gr.Interface(
     fn=predict_performance,