Update app.py

app.py

@@ -38,7 +38,8 @@ def dataframe(file_obj):
     
     pred_df = pd.DataFrame(y_pred, columns = ['predictedFraud'])
     #append the predictions to the original dataframe
-    pred_df = pd.concat([df, pred_df], axis=1)
+    df_original = pd.read_csv(file_obj.name)
+    pred_df = pd.concat([df_original, pred_df], axis=1)
     print(type(pred_df))
     print(pred_df.shape)
 #     clr = classification_report(y_test, y_pred, target_names=['Not Fraud','Fraud'])
@@ -46,7 +47,7 @@ def dataframe(file_obj):
     return pred_df
 
 file = gr.components.File(file_count="single", type="file", label="Fisierul CSV cu tranzactii", optional=False)
-y_pred_df = gr.components.Dataframe(max_rows=20, max_cols=5, overflow_row_behaviour="paginate", type="pandas", label="predictedFraud - Predictii bazate pe modelul de clasificare /n isFraud - Etichetele reale")
+y_pred_df = gr.components.Dataframe(max_rows=20, max_cols=None, overflow_row_behaviour="paginate", type="pandas", label="predictedFraud - Predictii bazate pe modelul de clasificare /n isFraud - Etichetele reale")
 tree_structure = gr.Image("https://imgur.com/a/dTj0c7X", label="Structura arborelui de decizie")
 interface_csv = gr.Interface(
                             fn=dataframe,