Update app.py

app.py

@@ -14,6 +14,7 @@ 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):
@@ -46,7 +47,6 @@ def compute(df_table):
     except ValueError:
         return "⚠️ **Please only add numbers (to the inputs) or leave fields empty.**", None, None
 
-    classifier = TabPFNClassifier(base_path=tabpfn_path, device='cpu', N_ensemble_configurations=4)
     classifier.fit(x_train, y_train)
     y_eval, p_eval = classifier.predict(x_eval, return_winning_probability=True)