app.py

import gradio as gr
import joblib
import pandas as pd

model = joblib.load("model.joblib")

def predict(rm, lstat, ptratio):
    df = pd.DataFrame([[rm, lstat, ptratio]], columns=["rm", "lstat", "ptratio"])
    return model.predict(df)[0]

gr.Interface(fn=predict,
             inputs=["number", "number", "number"],
             outputs="number").launch()