Create app.py

app.py

@@ -0,0 +1,16 @@
+import pickle
+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)