Update app.py

app.py

@@ -1,3 +1,4 @@
+
 import gradio as gr
 import pandas as pd 
 import numpy as np 
@@ -9,7 +10,7 @@ data = pd.read_csv("mldata.csv")
 
 
 #load prediction model from notebook
-pickleFile = open('dtree.pkl','rb')
+pickleFile = open('rfweights.pkl','rb')
 rfmodel = pickle.load(pickleFile)
 
 #Obtain the categorical/nominal data because it is not coded according (but based on the first occurence, first come first assign number)
@@ -190,8 +191,8 @@ demo =gr.Interface(fn = rfprediction, inputs=[
                 gr.Dropdown(worker_list, label="Are you a Smart worker or Hard worker?")
                 ],
                 outputs=gr.Label(num_top_classes=5), 
-                title="Archi Mathur"
-              
+                title="IT-Career Recommendation System: TMI4033 Colletive Intelligence, Group 12",
+                description="Members: Derrick Lim Kin Yeap 74597, Jason Jong Sheng Tat 75125, Jason Ng Yong Xing 75127, Muhamad Hazrie Bin Suhkery 73555 "
                 )