Update app.py

app.py

@@ -14,6 +14,9 @@ import os
 import matplotlib.pyplot as plt
 from matplotlib.colors import ListedColormap
 
+classifier = TabPFNClassifier(base_path=tabpfn_path, device='cpu', N_ensemble_configurations=4)
+
+
 def compute(df_table):
     headers = df_table.columns
     table = df_table.to_numpy()
@@ -71,7 +74,6 @@ def compute(df_table):
     
     ax.scatter(x_train[:, 0], x_train[:, 1], c=y_train_index, cmap=cm_bright)
     
-    classifier = TabPFNClassifier(base_path=tabpfn_path, device='cpu', N_ensemble_configurations=4)
     classifier.fit(x_train[:, 0:2], y_train)
     
     DecisionBoundaryDisplay.from_estimator(