Upload app.py

app.py

@@ -26,12 +26,15 @@ x1 = load_dataset("mertkarabacak/DMVO-mRS", data_files="gradio_train_data.csv",
 x1 = pd.DataFrame(x1['train'])
 x1 = x1.iloc[:, 1:]
 
+print(x1.columns)
+
 #Read validation data.
 
 x1_valid = load_dataset("mertkarabacak/DMVO-mRS", data_files="gradio_validation_data.csv", use_auth_token = HF_TOKEN)
 x1_valid = pd.DataFrame(x1_valid['train'])
 x1_valid = x1_valid.iloc[:, 1:]
 
+print(x1_valid.columns)
 
 #Define feature names.
 f1_names = list(x1.columns)
@@ -39,7 +42,7 @@ f1_names = [f1.replace('__', ' - ') for f1 in f1_names]
 f1_names = [f1.replace('_', ' ') for f1 in f1_names]
 
 #Prepare training data for the outcome 1.
-y1= x1.pop('OUTCOME')
+y1 = x1.pop('OUTCOME')
 
 #Prepare validation data for the outcome 1.
 y1_valid = x1_valid.pop('OUTCOME')