Upload app.py with huggingface_hub

app.py

@@ -1,6 +1,7 @@
 # app.py
 import os
 import pandas as pd
+import numpy as np
 from huggingface_hub import hf_hub_download, HfApi
 from autogluon.tabular import TabularPredictor
 import gradio as gr
@@ -17,7 +18,7 @@ from autogluon.common.loaders import load_pkl
 predictor = None
 if "autogluon_predictor.pkl" in files:
     predictor_path = hf_hub_download(
-        repo_id=MODEL_REPO, 
+        repo_id=MODEL_REPO,
         filename="autogluon_predictor.pkl",
         local_dir=LOCAL_DIR
     )