Update app.py

app.py

@@ -29,7 +29,6 @@ def pycaret_predict_function(*inputs):
     # Convert input tuple to DataFrame
     dfx = pd.DataFrame([inputs], columns=input_columns)
     dfx_scaled = pd.DataFrame(scaler.transform(dfx), columns=input_columns)
-    breakpoint()
     print("Input DataFrame for prediction:", dfx_scaled)
     model = load_model("TVAESynthesizer_best")
     prediction = predict_model(model, data=dfx_scaled)