Upload app.py with huggingface_hub

app.py

@@ -4,17 +4,8 @@ import sys
 from pathlib import Path
 
 import huggingface_hub as hf_hub
-import gradio as gr
-import torch
-import numpy as np
-import pandas as pd
-from sklearn.manifold import TSNE
-from sklearn.decomposition import PCA
-from sklearn.preprocessing import StandardScaler
-from sklearn.metrics import confusion_matrix, f1_score
-import matplotlib.pyplot as plt
 
-# Gradio <-> hub compatibility shim: newer huggingface_hub removed HfFolder.
+# Gradio imports HfFolder; add shim before importing gradio.
 if not hasattr(hf_hub, "HfFolder"):
     class _HfFolderShim:
         @staticmethod
@@ -27,6 +18,16 @@ if not hasattr(hf_hub, "HfFolder"):
 
     hf_hub.HfFolder = _HfFolderShim  # type: ignore[attr-defined]
 
+import gradio as gr
+import torch
+import numpy as np
+import pandas as pd
+from sklearn.manifold import TSNE
+from sklearn.decomposition import PCA
+from sklearn.preprocessing import StandardScaler
+from sklearn.metrics import confusion_matrix, f1_score
+import matplotlib.pyplot as plt
+
 # Repo root for local imports
 REPO_ROOT = Path(__file__).resolve().parent
 if str(REPO_ROOT) not in sys.path: