| 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) | |