app.py

import pandas as pd
import gradio as gr
from autogluon.tabular import TabularPredictor


def pred(path):
  df = pd.read_excel(path)
  a = predictor.predict(df)
  df['predict'] = a 
  return df.sample(10)


predictor = TabularPredictor.load(p)


demo = gr.Interface(pred, "file", outputs = gr.Dataframe())

if __name__ == "__main__":
    demo.launch(share = False)