app.py

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)