Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import gradio as gr
 import pandas as pd 
 import numpy as np 
@@ -6,7 +5,7 @@ import pickle
 import sklearn
 from datasets import load_dataset
 
-data = pd.read_csv("mldata.csv")
+data = pd.read_csv("Dataset/mldata.csv")
 
 
 #load prediction model from notebook
@@ -191,15 +190,11 @@ 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=" ",
-                description="Members: "
+                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 "
                 )
 
 
 #main
 if __name__ == "__main__":
-    demo.launch(share=True)
-
-
-
-
+    demo.launch(share=True)