Update app.py

app.py

@@ -7,17 +7,16 @@ import gradio as gr
 scaler = load('scaler_lab4.joblib')
 KNN_Regressor = load('knn_lab4.joblib')
 
+
 ## Building a Fubction for prediction:
 
 def predictPrice(input1, input2, input3, input4, input5, input6, input7, input8):
     features = np.array([[input1, input2, input3, input4, input5, input6, input7, input8]])
     features_scaled = scaler.transform(features)
     prediction = KNN_Regressor.predict(features_scaled)
-    return prediction
-
-
-
+    return prediction.item()
 
+    
 ## Buidling inputs and outputs:
 
 input1 = gr.Slider(-124.35, -114.31, step=5, label = "Longitude")
@@ -35,4 +34,4 @@ output1 = gr.Textbox(label = "House Value")
 ##title Putting it all together:
 
 gr.Interface(fn=predictPrice, inputs=[input1, input2, input3, input4, input5, input6, input7, input8],
-             outputs=output1).launch(show_error=True)
+             outputs=output1).launch(show_error=True, share=True)