hf

app.py

@@ -0,0 +1,20 @@
+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)
+

requirements.txt

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+autogluon
+pandas