Update app.py

app.py

@@ -10,11 +10,11 @@ KNN_Regressor = load('knn_lab4.joblib')
 ## Building a Fubction for prediction:
 
 def predictPrice(input1, input2, input3, input4, input5, input6, input7, input8):
-  features = [input1, input2, input3, input4, input5, input6, input7, input8]
-  normalized_features = scaler.transform(features)
-  features_array = np.array(normalized_features).reshape(1, -1)
-  prediction = KNN_Regressor.predict(features_array)
-  return prediction
+    features = np.array([[input1, input2, input3, input4, input5, input6, input7, input8]])
+    features_scaled = scaler.transform(features)
+    prediction = KNN_Regressor.predict(features_scaled)
+    return prediction
+