Update app.py

app.py

@@ -10,7 +10,7 @@ inputs = [gr.Dataframe(row_count = (2, "dynamic"), col_count=(38,"fixed"), label
 outputs = [gr.Dataframe(row_count = (2, "dynamic"), col_count=(1, "fixed"), label="Predictions", headers=["Failures"])]
 
 model = xgb.XGBClassifier()
-model.load("pdm_fail_20231206.json")
+model.load_model("pdm_fail_20231206.json")
 
 # we will give our dataframe as example
 # df = datasets.load_dataset("merve/supersoaker-failures")