Create app.py

app.py

@@ -0,0 +1,15 @@
+import pickle as pk 
+import gradio as gr 
+import numpy as np 
+import pandas as pd 
+from sklearn.linear_model import LinearRegression 
+loaded_model = pk.load(open("score_predict.pkl", "rb"), encoding="bytes") 
+ 
+def predict_my_score(hours_of_study): 
+  input_arr = [[hours_of_study]] 
+  y_predict_new = loaded_model.predict(input_arr) 
+  return int(y_predict_new[0][0]) 
+ 
+interface = gr.Interface(predict_my_score, title = "Predict My Score ", 
+                     description = "Enter the hours you study per day and know your score.", inputs = "number", outputs = "number") 
+interface.launch(share = True)