app.py

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)