updated

app.py

@@ -13,7 +13,7 @@ from pycaret.classification import *
 # stage = "Production"
 # model = mlflow.sklearn.load_model(f"models:/{model_name}/{stage}")
 
-# model = load_model('model')
+model = load_model('model')
 
 @st.cache_data
 def convert_df(df):
@@ -24,7 +24,6 @@ def run():
    st.set_page_config(page_title="Loan Default Prediction App")
    st.title('Loan Default Prediction')
 
-   st.write(model)
    uploaded_file = st.file_uploader("Choose a file", type={"csv"})
    if uploaded_file is not None:
       # do prediction