fixed base_path

app.py

@@ -1,5 +1,6 @@
 import sys
-sys.path.insert(0,'TabPFN') # our submodule of the TabPFN repo (at 045c8400203ebd062346970b4f2c0ccda5a40618)
+tabpfn_path = 'TabPFN'
+sys.path.insert(0,tabpfn_path) # our submodule of the TabPFN repo (at 045c8400203ebd062346970b4f2c0ccda5a40618)
 from scripts.transformer_prediction_interface import TabPFNClassifier
 
 import numpy as np
@@ -33,7 +34,7 @@ def compute(table: np.array):
     except ValueError:
         return "**Please only add numbers (to the inputs) or leave fields empty.**", None
 
-    classifier = TabPFNClassifier(base_path='..', device='cpu')
+    classifier = TabPFNClassifier(base_path=tabpfn_path, device='cpu')
     classifier.fit(x_train, y_train)
     y_eval, p_eval = classifier.predict(x_eval, return_winning_probability=True)