from sklearn.linear_model import LinearRegression
import gradio as gr
from joblib import dump, load

model = load('123.joblib') 

def grad(x_pred):
    y_pred = model.predict([[x_pred]])
    return y_pred[0]

demo = gr.Interface(fn=grad, inputs="number", outputs="number")
demo.launch()